大连人工智能计算平台——华为昇腾AI平台——高性能计算HPC的pytorch源码编译的一些注意事项
这里记录一下x86 docker环境下对aarch架构下pytorch+cuda进行编译的一些注意事项的总结：
关于cuda的支持：
一定要删掉cuda文件夹的软链接，并将原安装文件夹改名为cuda文件夹，具体见：
大连人工智能计算平台——华为昇腾AI平台——高性能计算HPC的pytorch源码编译报错——USE_CUDA=OFF——编译好的pytorch不支持CUDA的问题解决
关于MPI和NUMA的支持：
在pytorch源码编译之前安装openmpi，命令：
apt install openmpi-bin libopenmpi-dev
需要注意的是上述安装MPI的方式在编译pytorch时会提示：
OpenMPI found, but it is not built with CUDA support
由于Ubuntu官方提供的MPI版本并没有在编译时支持CUDA，如果想开启这个特性需要自己重新编译OpenMPI，由于该特性只是减少一次内存拷贝操作，对总体性能影响不大，并且操作过程比较繁琐因此这里不开启该特性。
编译命令：（注意：这里并没有给出依赖环境的配置，依赖环境的配置参考官方文档）
export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
python setup.py build
================================
CUDA、NVCC、CUDNN、MPI的环境变量设置：
export USE_CUDA=1 export CUDA_PATH=/usr/local/cuda export CUDA_HOME=${CUDA_PATH} export CUDA_BIN_PATH=${CUDA_PATH}/bin export PATH=${CUDA_BIN_PATH}:$PATH export LD_LIBRARY_PATH=${CUDA_PATH}/lib64:$LD_LIBRARY_PATH export CMAKE_CUDA_COMPILER=${CUDA_BIN_PATH}/nvcc export CUDNN_LIBRARY_PATH=${CUDA_PATH}/lib64 export CUDNN_INCLUDE_PATH=${CUDA_PATH}/include export LD_LIBRARY_PATH=/usr/lib/aarch64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH
配置过程：
(base) root@afa50e5922a4:~/pytorch# python setup.py develop Building wheel torch-2.1.0a0+git3c70d4b -- Building version 2.1.0a0+git3c70d4b cmake -GNinja -DBUILD_PYTHON=True -DBUILD_TEST=True -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch -DCMAKE_PREFIX_PATH=/root/anaconda3/lib/python3.11/site-packages;/root/anaconda3 -DNUMPY_INCLUDE_DIR=/root/anaconda3/lib/python3.11/site-packages/numpy/core/include -DPYTHON_EXECUTABLE=/root/anaconda3/bin/python -DPYTHON_INCLUDE_DIR=/root/anaconda3/include/python3.11 -DPYTHON_LIBRARY=/root/anaconda3/lib/libpython3.11.a -DTORCH_BUILD_VERSION=2.1.0a0+git3c70d4b -DUSE_CUDA=1 -DUSE_NUMPY=True /root/pytorch -- The CXX compiler identification is GNU 7.5.0 -- The C compiler identification is GNU 7.5.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- /usr/bin/c++ /root/pytorch/torch/abi-check.cpp -o /root/pytorch/build/abi-check -- Determined _GLIBCXX_USE_CXX11_ABI=1 -- Not forcing any particular BLAS to be found -- Could not find ccache. Consider installing ccache to speed up compilation. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Failed -- Performing Test C_HAS_AVX_2 -- Performing Test C_HAS_AVX_2 - Failed -- Performing Test C_HAS_AVX_3 -- Performing Test C_HAS_AVX_3 - Failed -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Failed -- Performing Test C_HAS_AVX2_2 -- Performing Test C_HAS_AVX2_2 - Failed -- Performing Test C_HAS_AVX2_3 -- Performing Test C_HAS_AVX2_3 - Failed -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Failed -- Performing Test C_HAS_AVX512_2 -- Performing Test C_HAS_AVX512_2 - Failed -- Performing Test C_HAS_AVX512_3 -- Performing Test C_HAS_AVX512_3 - Failed -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Failed -- Performing Test CXX_HAS_AVX_2 -- Performing Test CXX_HAS_AVX_2 - Failed -- Performing Test CXX_HAS_AVX_3 -- Performing Test CXX_HAS_AVX_3 - Failed -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Failed -- Performing Test CXX_HAS_AVX2_2 -- Performing Test CXX_HAS_AVX2_2 - Failed -- Performing Test CXX_HAS_AVX2_3 -- Performing Test CXX_HAS_AVX2_3 - Failed -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Failed -- Performing Test CXX_HAS_AVX512_2 -- Performing Test CXX_HAS_AVX512_2 - Failed -- Performing Test CXX_HAS_AVX512_3 -- Performing Test CXX_HAS_AVX512_3 - Failed -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Failed -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_RDYNAMIC -- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Success -- Found CUDA: /usr/local/cuda (found version "11.8") -- The CUDA compiler identification is NVIDIA 11.8.89 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Found CUDAToolkit: /usr/local/cuda/include (found version "11.8.89") -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Check if compiler accepts -pthread -- Check if compiler accepts -pthread - yes -- Found Threads: TRUE -- Caffe2: CUDA detected: 11.8 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 11.8 -- /usr/local/cuda/lib64/libnvrtc.so shorthash is 20655db5 -- Could NOT find CUDNN (missing: CUDNN_LIBRARY_PATH CUDNN_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:251 (message): Cannot find cuDNN library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:43 (include) CMakeLists.txt:718 (include) -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;8.0;8.6;8.9;9.0;8.9+PTX;9.0+PTX -- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_89,code=sm_89;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_89,code=compute_89;-gencode;arch=compute_90,code=compute_90 -- Building using own protobuf under third_party per request. -- Use custom protobuf build. -- -- 3.13.0.0 -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success -- Caffe2 protobuf include directory: $<BUILD_INTERFACE:/root/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include> -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of void* -- Check size of void* - done -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:211 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:718 (include) CMake Warning at cmake/Dependencies.cmake:248 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:718 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: /root/anaconda3/lib/libopenblas.so -- Looking for sgemm_ -- Looking for sgemm_ - found -- Performing Test BLAS_F2C_DOUBLE_WORKS -- Performing Test BLAS_F2C_DOUBLE_WORKS - Failed -- Performing Test BLAS_F2C_FLOAT_WORKS -- Performing Test BLAS_F2C_FLOAT_WORKS - Success -- Performing Test BLAS_USE_CBLAS_DOT -- Performing Test BLAS_USE_CBLAS_DOT - Success -- Looking for sbgemm_ -- Looking for sbgemm_ - not found -- Found a library with BLAS API (open). Full path: (/root/anaconda3/lib/libopenblas.so) -- Using pocketfft in directory: /root/pytorch/third_party/pocketfft/ -- The ASM compiler identification is GNU -- Found assembler: /usr/bin/cc -- Brace yourself, we are building NNPACK -- NNPACK backend is neon -- Found Python: /root/anaconda3/bin/python3 (found version "3.11.3") found components: Interpreter -- Found Git: /usr/bin/git (found version "2.17.1") -- git version: v1.6.1 normalized to 1.6.1 -- Version: 1.6.1 -- Looking for shm_open in rt -- Looking for shm_open in rt - found -- Performing Test HAVE_CXX_FLAG_STD_CXX11 -- Performing Test HAVE_CXX_FLAG_STD_CXX11 - Success -- Performing Test HAVE_CXX_FLAG_WALL -- Performing Test HAVE_CXX_FLAG_WALL - Success -- Performing Test HAVE_CXX_FLAG_WEXTRA -- Performing Test HAVE_CXX_FLAG_WEXTRA - Success -- Performing Test HAVE_CXX_FLAG_WSHADOW -- Performing Test HAVE_CXX_FLAG_WSHADOW - Success -- Performing Test HAVE_CXX_FLAG_WERROR -- Performing Test HAVE_CXX_FLAG_WERROR - Success -- Performing Test HAVE_CXX_FLAG_WSUGGEST_OVERRIDE -- Performing Test HAVE_CXX_FLAG_WSUGGEST_OVERRIDE - Success -- Performing Test HAVE_CXX_FLAG_PEDANTIC -- Performing Test HAVE_CXX_FLAG_PEDANTIC - Success -- Performing Test HAVE_CXX_FLAG_PEDANTIC_ERRORS -- Performing Test HAVE_CXX_FLAG_PEDANTIC_ERRORS - Success -- Performing Test HAVE_CXX_FLAG_WSHORTEN_64_TO_32 -- Performing Test HAVE_CXX_FLAG_WSHORTEN_64_TO_32 - Failed -- Performing Test HAVE_CXX_FLAG_FSTRICT_ALIASING -- Performing Test HAVE_CXX_FLAG_FSTRICT_ALIASING - Success -- Performing Test HAVE_CXX_FLAG_WNO_DEPRECATED_DECLARATIONS -- Performing Test HAVE_CXX_FLAG_WNO_DEPRECATED_DECLARATIONS - Success -- Performing Test HAVE_CXX_FLAG_WNO_DEPRECATED -- Performing Test HAVE_CXX_FLAG_WNO_DEPRECATED - Success -- Performing Test HAVE_CXX_FLAG_WSTRICT_ALIASING -- Performing Test HAVE_CXX_FLAG_WSTRICT_ALIASING - Success -- Performing Test HAVE_CXX_FLAG_WD654 -- Performing Test HAVE_CXX_FLAG_WD654 - Failed -- Performing Test HAVE_CXX_FLAG_WTHREAD_SAFETY -- Performing Test HAVE_CXX_FLAG_WTHREAD_SAFETY - Failed -- Performing Test HAVE_CXX_FLAG_COVERAGE -- Performing Test HAVE_CXX_FLAG_COVERAGE - Success -- Performing Test HAVE_STD_REGEX -- Performing Test HAVE_STD_REGEX -- Performing Test HAVE_STD_REGEX -- success -- Performing Test HAVE_GNU_POSIX_REGEX -- Performing Test HAVE_GNU_POSIX_REGEX -- Performing Test HAVE_GNU_POSIX_REGEX -- failed to compile -- Performing Test HAVE_POSIX_REGEX -- Performing Test HAVE_POSIX_REGEX -- Performing Test HAVE_POSIX_REGEX -- success -- Performing Test HAVE_STEADY_CLOCK -- Performing Test HAVE_STEADY_CLOCK -- Performing Test HAVE_STEADY_CLOCK -- success CMake Warning at cmake/Dependencies.cmake:796 (message): A compiler with AVX512 support is required for FBGEMM. Not compiling with FBGEMM. Turn this warning off by USE_FBGEMM=OFF. Call Stack (most recent call first): CMakeLists.txt:718 (include) CMake Warning at cmake/Dependencies.cmake:838 (message): Turning USE_FAKELOWP off as it depends on USE_FBGEMM. Call Stack (most recent call first): CMakeLists.txt:718 (include) -- Found Numa: /usr/include -- Found Numa (include: /usr/include, library: /usr/lib/aarch64-linux-gnu/libnuma.so) -- Using third party subdirectory Eigen. -- Found PythonInterp: /root/anaconda3/bin/python (found suitable version "3.11.3", minimum required is "3.0") -- Found PythonLibs: /root/anaconda3/lib/libpython3.11.a (found suitable version "3.11.3", minimum required is "3.0") -- Using third_party/pybind11. -- pybind11 include dirs: /root/pytorch/cmake/../third_party/pybind11/include -- Found MPI_C: /usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi.so (found version "3.1") -- Found MPI_CXX: /usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi_cxx.so (found version "3.1") -- Found MPI: TRUE (found version "3.1") -- MPI support found -- MPI compile flags: -pthread -- MPI include path: /usr/lib/aarch64-linux-gnu/openmpi/include/openmpi/usr/lib/aarch64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent/usr/lib/aarch64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent/include/usr/lib/aarch64-linux-gnu/openmpi/include -- MPI LINK flags path: -L/usr/lib -pthread -- MPI libraries: /usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi_cxx.so/usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi.so CMake Warning at cmake/Dependencies.cmake:1164 (message): OpenMPI found, but it is not built with CUDA support. Call Stack (most recent call first): CMakeLists.txt:718 (include) -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Adding OpenMP CXX_FLAGS: -fopenmp -- Will link against OpenMP libraries: /usr/lib/gcc/aarch64-linux-gnu/7/libgomp.so;/usr/lib/aarch64-linux-gnu/libpthread.so -- Disabling kernel asserts for ROCm -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;8.0;8.6;8.9;9.0;8.9+PTX;9.0+PTX CMake Warning at cmake/External/nccl.cmake:69 (message): Enabling NCCL library slimming Call Stack (most recent call first): cmake/Dependencies.cmake:1345 (include) CMakeLists.txt:718 (include) -- Found CUB: /usr/local/cuda/include -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_89,code=sm_89;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_89,code=compute_89;-gencode;arch=compute_90,code=compute_90;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -O2;-g;-DNDEBUG CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /root/pytorch/torch Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -- Found uv: 1.38.1 (found version "1.38.1") CMake Warning (dev) at third_party/gloo/CMakeLists.txt:21 (option): Policy CMP0077 is not set: option() honors normal variables. Run "cmake --help-policy CMP0077" for policy details. Use the cmake_policy command to set the policy and suppress this warning. For compatibility with older versions of CMake, option is clearing the normal variable 'BUILD_BENCHMARK'. This warning is for project developers. Use -Wno-dev to suppress it. -- Gloo build as SHARED library -- MPI include path: /usr/lib/aarch64-linux-gnu/openmpi/include/openmpi/usr/lib/aarch64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent/usr/lib/aarch64-linux-gnu/openmpi/include/openmpi/opal/mca/event/libevent2022/libevent/include/usr/lib/aarch64-linux-gnu/openmpi/include -- MPI libraries: /usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi_cxx.so/usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi.so CMake Warning (dev) at third_party/gloo/cmake/Cuda.cmake:109 (find_package): Policy CMP0074 is not set: find_package uses <PackageName>_ROOT variables. Run "cmake --help-policy CMP0074" for policy details. Use the cmake_policy command to set the policy and suppress this warning. CMake variable CUDAToolkit_ROOT is set to: /usr/local/cuda For compatibility, CMake is ignoring the variable. Call Stack (most recent call first): third_party/gloo/cmake/Dependencies.cmake:115 (include) third_party/gloo/CMakeLists.txt:111 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found CUDAToolkit: /usr/local/cuda/include (found suitable version "11.8.89", minimum required is "7.0") -- CUDA detected: 11.8.89 CMake Warning at cmake/Dependencies.cmake:1489 (message): Metal is only used in ios builds. Call Stack (most recent call first): CMakeLists.txt:718 (include) -- Found PythonInterp: /root/anaconda3/bin/python (found version "3.11.3") Generated: /root/pytorch/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: /root/pytorch/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: /root/pytorch/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 3.22.1 -- CMake command : /root/anaconda3/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/c++ -- C++ compiler version : 7.5.0 -- CXX flags : -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS -- CMAKE_PREFIX_PATH : /root/anaconda3/lib/python3.11/site-packages;/root/anaconda3;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /root/pytorch/torch -- CMAKE_MODULE_PATH : /root/pytorch/cmake/Modules;/root/pytorch/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.14.0 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- Protobuf_USE_STATIC_LIBS : ON -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- -- ******** Summary ******** -- CMake version : 3.22.1 -- CMake command : /root/anaconda3/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/c++ -- C++ compiler version : 7.5.0 -- CXX flags : -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : /root/anaconda3/lib/python3.11/site-packages;/root/anaconda3;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /root/pytorch/torch -- CMAKE_MODULE_PATH : /root/pytorch/cmake/Modules;/root/pytorch/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.4.1 -- ONNX NAMESPACE : onnx_torch -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- ONNX_USE_LITE_PROTO : OFF -- ONNXIFI_DUMMY_BACKEND : -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - False CMake Warning at cmake/Dependencies.cmake:1690 (message): Not compiling with MAGMA. Suppress this warning with -DUSE_MAGMA=OFF. Call Stack (most recent call first): CMakeLists.txt:718 (include) -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- Looking for cheev_ -- Looking for cheev_ - found -- Looking for cgesdd_ -- Looking for cgesdd_ - found -- Found a library with LAPACK API (open). disabling ROCM because NOT USE_ROCM is set -- MIOpen not found. Compiling without MIOpen support disabling MKLDNN because USE_MKLDNN is not set -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for mmap -- Looking for mmap - found -- Looking for shm_open -- Looking for shm_open - found -- Looking for shm_unlink -- Looking for shm_unlink - found -- Looking for malloc_usable_size -- Looking for malloc_usable_size - found -- Performing Test C_HAS_THREAD -- Performing Test C_HAS_THREAD - Success -- <FindZVECTOR> -- check z16 -- Performing Test COMPILE_OUT_z16 -- Performing Test COMPILE_OUT_z16 - Failed -- check z15 -- Performing Test COMPILE_OUT_z15 -- Performing Test COMPILE_OUT_z15 - Failed -- check z14 -- Performing Test COMPILE_OUT_z14 -- Performing Test COMPILE_OUT_z14 - Failed -- </FindZVECTOR> -- Module support is disabled. -- Version: 9.1.0 -- Build type: Release -- CXX_STANDARD: 17 -- Performing Test has_std_17_flag -- Performing Test has_std_17_flag - Success -- Performing Test has_std_1z_flag -- Performing Test has_std_1z_flag - Success -- Required features: cxx_variadic_templates -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = /root/pytorch/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = /usr/local/cuda -- CUDA_INCLUDE_DIRS = /usr/local/cuda/include -- CUPTI_INCLUDE_DIR = /usr/local/cuda/extras/CUPTI/include -- CUDA_cupti_LIBRARY = /usr/local/cuda/extras/CUPTI/lib64/libcupti.so -- Found CUPTI INFO ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = /root/pytorch/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = /root/pytorch/third_party/fmt/include INFO CUPTI_INCLUDE_DIR = /usr/local/cuda/extras/CUPTI/include INFO ROCTRACER_INCLUDE_DIR = /include/roctracer INFO DYNOLOG_INCLUDE_DIR = /root/pytorch/third_party/kineto/libkineto/third_party/dynolog/ INFO IPCFABRIC_INCLUDE_DIR = /root/pytorch/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Configured Kineto CMake Warning (dev) at /root/anaconda3/share/cmake-3.22/Modules/CMakeDependentOption.cmake:84 (message): Policy CMP0127 is not set: cmake_dependent_option() supports full Condition Syntax. Run "cmake --help-policy CMP0127" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): CMakeLists.txt:721 (cmake_dependent_option) This warning is for project developers. Use -Wno-dev to suppress it. -- GCC 7.5.0: Adding gcc and gcc_s libs to link line -- Performing Test HAS_WERROR_RETURN_TYPE -- Performing Test HAS_WERROR_RETURN_TYPE - Success -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR - Success -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT - Failed -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT - Failed -- Performing Test HAS_WERROR_BOOL_OPERATION -- Performing Test HAS_WERROR_BOOL_OPERATION - Success -- Performing Test HAS_WNARROWING -- Performing Test HAS_WNARROWING - Success -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS - Success -- Performing Test HAS_WNO_TYPE_LIMITS -- Performing Test HAS_WNO_TYPE_LIMITS - Success -- Performing Test HAS_WNO_ARRAY_BOUNDS -- Performing Test HAS_WNO_ARRAY_BOUNDS - Success -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS - Success -- Performing Test HAS_WNO_UNUSED_PARAMETER -- Performing Test HAS_WNO_UNUSED_PARAMETER - Success -- Performing Test HAS_WNO_UNUSED_FUNCTION -- Performing Test HAS_WNO_UNUSED_FUNCTION - Success -- Performing Test HAS_WNO_UNUSED_RESULT -- Performing Test HAS_WNO_UNUSED_RESULT - Success -- Performing Test HAS_WNO_STRICT_OVERFLOW -- Performing Test HAS_WNO_STRICT_OVERFLOW - Success -- Performing Test HAS_WNO_STRICT_ALIASING -- Performing Test HAS_WNO_STRICT_ALIASING - Success -- Performing Test HAS_WVLA_EXTENSION -- Performing Test HAS_WVLA_EXTENSION - Failed -- Performing Test HAS_WNEWLINE_EOF -- Performing Test HAS_WNEWLINE_EOF - Failed -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE - Failed -- Performing Test HAS_WINCONSISTENT_MISSING_DESTRUCTOR_OVERRIDE -- Performing Test HAS_WINCONSISTENT_MISSING_DESTRUCTOR_OVERRIDE - Failed -- Performing Test HAS_WNO_ERROR_PEDANTIC -- Performing Test HAS_WNO_ERROR_PEDANTIC - Success -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST - Success -- Performing Test HAS_WNO_ERROR_INCONSISTENT_MISSING_OVERRIDE -- Performing Test HAS_WNO_ERROR_INCONSISTENT_MISSING_OVERRIDE - Failed -- Performing Test HAS_WNO_ERROR_INCONSISTENT_MISSING_DESTRUCTOR_OVERRIDE -- Performing Test HAS_WNO_ERROR_INCONSISTENT_MISSING_DESTRUCTOR_OVERRIDE - Failed -- Performing Test HAS_WCONSTANT_CONVERSION -- Performing Test HAS_WCONSTANT_CONVERSION - Failed -- Performing Test HAS_WNO_INVALID_PARTIAL_SPECIALIZATION -- Performing Test HAS_WNO_INVALID_PARTIAL_SPECIALIZATION - Success -- Performing Test HAS_WNO_UNUSED_PRIVATE_FIELD -- Performing Test HAS_WNO_UNUSED_PRIVATE_FIELD - Success -- Performing Test HAS_WNO_ALIGNED_ALLOCATION_UNAVAILABLE -- Performing Test HAS_WNO_ALIGNED_ALLOCATION_UNAVAILABLE - Success -- Performing Test HAS_WNO_MISSING_BRACES -- Performing Test HAS_WNO_MISSING_BRACES - Success -- Performing Test HAS_WUNUSED_LAMBDA_CAPTURE -- Performing Test HAS_WUNUSED_LAMBDA_CAPTURE - Failed -- Performing Test HAS_QUNUSED_ARGUMENTS -- Performing Test HAS_QUNUSED_ARGUMENTS - Failed -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS - Success -- Performing Test HAS_FALIGNED_NEW -- Performing Test HAS_FALIGNED_NEW - Success -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE - Success -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED - Success -- Performing Test HAS_FSTANDALONE_DEBUG -- Performing Test HAS_FSTANDALONE_DEBUG - Failed -- Performing Test HAS_FNO_MATH_ERRNO -- Performing Test HAS_FNO_MATH_ERRNO - Success -- Performing Test HAS_FNO_TRAPPING_MATH -- Performing Test HAS_FNO_TRAPPING_MATH - Success -- Performing Test HAS_WERROR_FORMAT -- Performing Test HAS_WERROR_FORMAT - Success -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE - Failed -- Performing Test HAS_VST1 -- Performing Test HAS_VST1 - Failed -- Performing Test HAS_VLD1 -- Performing Test HAS_VLD1 - Failed -- Performing Test HAS_WNO_STRINGOP_OVERFLOW -- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Success -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- NUMA paths: -- /usr/include -- /usr/lib/aarch64-linux-gnu/libnuma.so -- headers outputs: -- sources outputs: -- declarations_yaml outputs: -- Using ATen parallel backend: OMP CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:91 (cmake_policy): The OLD behavior for policy CMP0066 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- Found OpenSSL: /root/anaconda3/lib/libcrypto.so (found version "1.1.1u") -- Check size of long double -- Check size of long double - done -- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE -- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE - Success -- Performing Test COMPILER_SUPPORTS_FLOAT128 -- Performing Test COMPILER_SUPPORTS_FLOAT128 - Failed -- Performing Test COMPILER_SUPPORTS_SVE -- Performing Test COMPILER_SUPPORTS_SVE - Failed -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Performing Test COMPILER_SUPPORTS_OPENMP -- Performing Test COMPILER_SUPPORTS_OPENMP - Success -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Success -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Success -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Success -- Configuring build for SLEEF-v3.6.0 Target system: Linux-6.2.0-26-generic Target processor: aarch64 Host system: Linux-6.2.0-26-generic Host processor: aarch64 Detected C compiler: GNU @ /usr/bin/cc CMake: 3.22.1 Make program: /root/anaconda3/bin/ninja -- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -Wno-psabi -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : /root/anaconda3/lib/libmpfr.so -- MPFR header file in /root/anaconda3/include -- GMP : /root/anaconda3/lib/libgmp.so -- RT : /usr/lib/aarch64-linux-gnu/librt.so -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : 1.1.1u -- SDE : SDE_COMMAND-NOTFOUND -- RUNNING_ON_TRAVIS : -- COMPILER_SUPPORTS_OPENMP : 1 AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: /root/pytorch/build/aten/src/ATen/core/TensorBody.h core header install: /root/pytorch/build/aten/src/ATen/core/aten_interned_strings.h core header install: /root/pytorch/build/aten/src/ATen/core/enum_tag.h -- Generating sources for unboxing kernels /root/anaconda3/bin/python;-m;torchgen.gen_executorch;--source-path=/root/pytorch/test/edge/../../test/edge;--install-dir=/root/pytorch/build/out;--tags-path=/root/pytorch/test/edge/../../aten/src/ATen/native/tags.yaml;--aten-yaml-path=/root/pytorch/test/edge/../../aten/src/ATen/native/native_functions.yaml;--use-aten-lib;--op-selection-yaml-path=/root/pytorch/test/edge/../../test/edge/selected_operators.yaml;--custom-ops-yaml-path=/root/pytorch/test/edge/../../test/edge/custom_ops.yaml -- Performing Test HAS_WNO_UNUSED_VARIABLE -- Performing Test HAS_WNO_UNUSED_VARIABLE - Success -- Performing Test HAS_WNO_UNUSED_BUT_SET_PARAMETER -- Performing Test HAS_WNO_UNUSED_BUT_SET_PARAMETER - Success -- _GLIBCXX_USE_CXX11_ABI=1 is already defined as a cmake variable CMake Warning (dev) at torch/CMakeLists.txt:389: Syntax Warning in cmake code at column 107 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at torch/CMakeLists.txt:389: Syntax Warning in cmake code at column 115 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;8.0;8.6;8.9;9.0;8.9+PTX;9.0+PTX -- Using lib/python3.11/site-packages as python relative installation path CMake Warning at CMakeLists.txt:1109 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 3.22.1 -- CMake command : /root/anaconda3/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/c++ -- C++ compiler id : GNU -- C++ compiler version : 7.5.0 -- Using ccache if found : ON -- Found ccache : CCACHE_PROGRAM-NOTFOUND -- CXX flags : -D_GLIBCXX_USE_CXX11_ABI=1 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -DMISSING_ARM_VST1 -DMISSING_ARM_VLD1 -Wno-stringop-overflow -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;HAVE_MMAP=1;_FILE_OFFSET_BITS=64;HAVE_SHM_OPEN=1;HAVE_SHM_UNLINK=1;HAVE_MALLOC_USABLE_SIZE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;BUILD_NVFUSER -- CMAKE_PREFIX_PATH : /root/anaconda3/lib/python3.11/site-packages;/root/anaconda3;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /root/pytorch/torch -- USE_GOLD_LINKER : OFF -- -- TORCH_VERSION : 2.1.0 -- BUILD_CAFFE2 : OFF -- BUILD_CAFFE2_OPS : OFF -- BUILD_STATIC_RUNTIME_BENCHMARK: OFF -- BUILD_TENSOREXPR_BENCHMARK: OFF -- BUILD_NVFUSER_BENCHMARK: OFF -- BUILD_BINARY : OFF -- BUILD_CUSTOM_PROTOBUF : ON -- Link local protobuf : ON -- BUILD_DOCS : OFF -- BUILD_PYTHON : True -- Python version : 3.11.3 -- Python executable : /root/anaconda3/bin/python -- Pythonlibs version : 3.11.3 -- Python library : /root/anaconda3/lib/libpython3.11.a -- Python includes : /root/anaconda3/include/python3.11 -- Python site-packages: lib/python3.11/site-packages -- BUILD_SHARED_LIBS : ON -- CAFFE2_USE_MSVC_STATIC_RUNTIME : OFF -- BUILD_TEST : True -- BUILD_JNI : OFF -- BUILD_MOBILE_AUTOGRAD : OFF -- BUILD_LITE_INTERPRETER: OFF -- INTERN_BUILD_MOBILE : -- TRACING_BASED : OFF -- USE_BLAS : 1 -- BLAS : open -- BLAS_HAS_SBGEMM : -- USE_LAPACK : 1 -- LAPACK : open -- USE_ASAN : OFF -- USE_TSAN : OFF -- USE_CPP_CODE_COVERAGE : OFF -- USE_CUDA : 1 -- Split CUDA : -- CUDA static link : OFF -- USE_CUDNN : OFF -- USE_EXPERIMENTAL_CUDNN_V8_API: ON -- CUDA version : 11.8 -- USE_FLASH_ATTENTION : ON -- CUDA root directory : /usr/local/cuda -- CUDA library : /usr/local/cuda/lib64/stubs/libcuda.so -- cudart library : /usr/local/cuda/lib64/libcudart.so -- cublas library : /usr/local/cuda/lib64/libcublas.so -- cufft library : /usr/local/cuda/lib64/libcufft.so -- curand library : /usr/local/cuda/lib64/libcurand.so -- cusparse library : /usr/local/cuda/lib64/libcusparse.so -- nvrtc : /usr/local/cuda/lib64/libnvrtc.so -- CUDA include path : /usr/local/cuda/include -- NVCC executable : /usr/local/cuda/bin/nvcc -- CUDA compiler : /usr/local/cuda/bin/nvcc -- CUDA flags : -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_89,code=sm_89 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_89,code=compute_89 -gencode arch=compute_90,code=compute_90 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=bad_friend_decl --expt-relaxed-constexpr --expt-extended-lambda -Wno-deprecated-gpu-targets --expt-extended-lambda -DCUB_WRAPPED_NAMESPACE=at_cuda_detail -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -- CUDA host compiler : -- CUDA --device-c : OFF -- USE_TENSORRT : OFF -- USE_ROCM : OFF -- BUILD_NVFUSER : ON -- USE_EIGEN_FOR_BLAS : ON -- USE_FBGEMM : OFF -- USE_FAKELOWP : OFF -- USE_KINETO : ON -- USE_FFMPEG : OFF -- USE_GFLAGS : OFF -- USE_GLOG : OFF -- USE_LEVELDB : OFF -- USE_LITE_PROTO : OFF -- USE_LMDB : OFF -- USE_METAL : OFF -- USE_PYTORCH_METAL : OFF -- USE_PYTORCH_METAL_EXPORT : OFF -- USE_MPS : OFF -- USE_FFTW : OFF -- USE_MKL : OFF -- USE_MKLDNN : OFF -- USE_UCC : OFF -- USE_ITT : OFF -- USE_NCCL : ON -- USE_SYSTEM_NCCL : OFF -- USE_NCCL_WITH_UCC : OFF -- USE_NNPACK : ON -- USE_NUMPY : ON -- USE_OBSERVERS : ON -- USE_OPENCL : OFF -- USE_OPENCV : OFF -- USE_OPENMP : ON -- USE_TBB : OFF -- USE_MIMALLOC : OFF -- USE_VULKAN : OFF -- USE_PROF : OFF -- USE_QNNPACK : ON -- USE_PYTORCH_QNNPACK : ON -- USE_XNNPACK : ON -- USE_REDIS : OFF -- USE_ROCKSDB : OFF -- USE_ZMQ : OFF -- USE_DISTRIBUTED : ON -- USE_MPI : ON -- USE_GLOO : ON -- USE_GLOO_WITH_OPENSSL : OFF -- USE_TENSORPIPE : ON -- Public Dependencies : -- Private Dependencies : Threads::Threads;pthreadpool;cpuinfo;qnnpack;pytorch_qnnpack;nnpack;XNNPACK;/usr/lib/aarch64-linux-gnu/libnuma.so;fp16;/usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi_cxx.so;/usr/lib/aarch64-linux-gnu/openmpi/lib/libmpi.so;caffe2::openmp;tensorpipe;gloo;foxi_loader;rt;fmt::fmt-header-only;kineto;gcc_s;gcc;dl -- Public CUDA Deps. : caffe2::cufft;caffe2::curand;caffe2::cublas -- Private CUDA Deps. : __caffe2_nccl;tensorpipe_cuda;gloo_cuda;/usr/local/cuda/lib64/libcudart.so;CUDA::cusparse;CUDA::curand;CUDA::cufft;ATEN_CUDA_FILES_GEN_LIB -- USE_COREML_DELEGATE : OFF -- BUILD_LAZY_TS_BACKEND : ON -- TORCH_DISABLE_GPU_ASSERTS : ON -- Performing Test HAS_WMISSING_PROTOTYPES -- Performing Test HAS_WMISSING_PROTOTYPES - Failed -- Performing Test HAS_WERROR_MISSING_PROTOTYPES -- Performing Test HAS_WERROR_MISSING_PROTOTYPES - Failed -- Configuring done CMake Warning at caffe2/CMakeLists.txt:813 (add_library): Cannot generate a safe runtime search path for target torch_cpu because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/aarch64-linux-gnu/7 may be hidden by files in: /root/anaconda3/lib Some of these libraries may not be found correctly. -- Generating done -- Build files have been written to: /root/pytorch/build cmake --build . --target install --config Release [1/4] Generating ATen declarations_yaml [3/4] Generating ATen sources
本博客是博主个人学习时的一些记录，不保证是为原创，个别文章加入了转载的源地址，还有个别文章是汇总网上多份资料所成，在这之中也必有疏漏未加标注处，如有侵权请与博主联系。
如果未特殊标注则为原创，遵循 CC 4.0 BY-SA 版权协议。
posted on 2023-08-11 08:15 Angry_Panda 阅读(393) 评论(0) 编辑 收藏 举报
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