大家好，
我在从源代码构建PyTorch时遇到问题。我遵循了official build instructions。我使用Anaconda Python 3.7.1（版本2018.12，构建py37_0）。我使用conda安装了所有必要的依赖项，并发出了python setup.py install命令来构建它。它会成功构建所有文件，但是然后在安装步骤中失败：
build/temp.linux-x86_64-3.7/torch/csrc/stub.o: file not recognized: file format not recognized
我尝试使用gcc / g ++版本5,6,7进行构建，但没有帮助。您能帮我解决这个问题吗？
这是python setup.py install的输出，带有我得到的错误：
[manjaro-pc pytorch]# python setup.py install
Building wheel torch-1.1.0a0+44809fd
-- Building version 1.1.0a0+44809fd
[0/1] Install the project...
-- Install configuration: "Release"
running install
running build
running build_py
copying torch/version.py -> build/lib.linux-x86_64-3.7/torch
copying caffe2/proto/caffe2_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
copying caffe2/proto/caffe2_legacy_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
copying caffe2/proto/predictor_consts_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
copying caffe2/proto/metanet_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
copying caffe2/proto/torch_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
copying caffe2/proto/prof_dag_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
copying caffe2/proto/hsm_pb2.py -> build/lib.linux-x86_64-3.7/caffe2/proto
running build_ext
-- Building with NumPy bindings
-- Not using cuDNN
-- Not using MIOpen
-- Not using CUDA
-- Not using MKLDNN
-- Not using NCCL
-- Building without distributed package
Copying extension caffe2.python.caffe2_pybind11_state
Copying caffe2.python.caffe2_pybind11_state from torch/lib/python3.7/site-packages/caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.so to /home/manjaro/Downloads/pytorch/build/lib.linux-x86_64-3.7/caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.so
building 'torch._C' extension
gcc -pthread -B /opt/anaconda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/anaconda/include/python3.7m -c torch/csrc/stub.cpp -o build/temp.linux-x86_64-3.7/torch/csrc/stub.o -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
g++ -pthread -shared -B /opt/anaconda/compiler_compat -L/opt/anaconda/lib -Wl,-rpath=/opt/anaconda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/torch/csrc/stub.o -L/home/manjaro/Downloads/pytorch/torch/lib -lshm -ltorch_python -o build/lib.linux-x86_64-3.7/torch/_C.cpython-37m-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib
/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info
/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info
/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info
/opt/anaconda/compiler_compat/ld: build/temp.linux-x86_64-3.7/torch/csrc/stub.o: unable to initialize decompress status for section .debug_info
build/temp.linux-x86_64-3.7/torch/csrc/stub.o: file not recognized: file format not recognized
collect2: error: ld returned 1 exit status
error: command 'g++' failed with exit status 1
从此输出中，我认为错误是由以下行引起的：
g++ -pthread -shared -B /opt/anaconda/compiler_compat -L/opt/anaconda/lib -Wl,-rpath=/opt/anaconda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/torch/csrc/stub.o -L/home/manjaro/Downloads/pytorch/torch/lib -lshm -ltorch_python -o build/lib.linux-x86_64-3.7/torch/_C.cpython-37m-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib
PyTorch version: 1.0
Is debug build: N/A
CUDA used to build PyTorch: 10
OS: Manjaro Linux
GCC version: (GCC) 6.4.1 20171002
CMake version: version 3.12.2
Python version: 3.7
Is CUDA available: N/A
CUDA runtime version: 10.0.130
GPU models and configuration: GPU 0: GeForce GTX 650
Nvidia driver version: 415.27
cuDNN version: Probably one of the following:
/usr/lib/libcudnn.so.7.4.1
/usr/lib/libcudnn_static_v7.a
Versions of relevant libraries:
[pip] Could not collect
[conda] blas 1.0 mkl
[conda] magma-cuda100 2.4.0 1 pytorch
[conda] mkl 2019.1 144
[conda] mkl-include 2019.1 144
[conda] mkl-service 1.1.2 py37he904b0f_5
[conda] mkl_fft 1.0.6 py37hd81dba3_0
[conda] mkl_random 1.0.2 py37hd81dba3_0
[conda] mkldnn 0.16.1 0 mingfeima
Building wheel torch-1.1.0a0+44809fd
-- Building version 1.1.0a0+44809fd
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'-DBLAS=MKL',
'-DBUILDING_WITH_TORCH_LIBS=ON',
'-DBUILD_BINARY=False',
'-DBUILD_CAFFE2_OPS=False',
'-DBUILD_PYTHON=True',
'-DBUILD_SHARED_LIBS=ON',
'-DBUILD_TEST=False',
'-DBUILD_TORCH=ON',
'-DCAFFE2_STATIC_LINK_CUDA=False',
'-DCMAKE_BUILD_TYPE=Release',
'-DCMAKE_CXX_FLAGS= ',
'-DCMAKE_C_FLAGS= ',
'-DCMAKE_EXE_LINKER_FLAGS=',
'-DCMAKE_INSTALL_PREFIX=/home/manjaro/Downloads/pytorch/torch',
'-DCMAKE_PREFIX_PATH=/opt/anaconda/bin/../',
'-DCMAKE_SHARED_LINKER_FLAGS=',
'-DINSTALL_TEST=False',
'-DNCCL_EXTERNAL=False',
'-DNUMPY_INCLUDE_DIR=/opt/anaconda/lib/python3.7/site-packages/numpy/core/include',
'-DONNX_NAMESPACE=onnx_torch',
'-DPYTHON_EXECUTABLE=/opt/anaconda/bin/python',
'-DPYTHON_INCLUDE_DIR=/opt/anaconda/include/python3.7m',
'-DPYTHON_LIBRARY=/opt/anaconda/lib/libpython3.7m.so.1.0',
'-DTHD_SO_VERSION=1',
'-DTORCH_BUILD_VERSION=1.1.0a0+44809fd',
'-DUSE_CUDA=False',
'-DUSE_DISTRIBUTED=False',
'-DUSE_FBGEMM=False',
'-DUSE_FFMPEG=False',
'-DUSE_LEVELDB=False',
'-DUSE_LMDB=False',
'-DUSE_MKLDNN=False',
'-DUSE_NNPACK=False',
'-DUSE_NUMPY=True',
'-DUSE_OPENCV=False',
'-DUSE_QNNPACK=False',
'-DUSE_ROCM=False',
'-DUSE_SYSTEM_EIGEN_INSTALL=OFF',
'-DUSE_SYSTEM_NCCL=False',
'-DUSE_TENSORRT=False']
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'NO_CAFFE2_OPS': '1',
'NO_CUDA': '1',
'NO_CUDNN': '1',
'NO_DISTRIBUTED': '1',
'NO_FBGEMM': '1',
'NO_MIOPEN': '1',
'NO_MKLDNN': '1',
'NO_NNPACK': '1',
'NO_QNNPACK': '1',
'NO_TEST': '1',
'OLDPWD': '/home/manjaro/Downloads',
'PATH': '/opt/anaconda/bin:/opt/anaconda/bin:/usr/local/sbin:/usr/local/bin:/usr/bin:/opt/cuda/bin:/usr/lib/jvm/default/bin:/usr/bin/site_perl:/usr/bin/vendor_perl:/usr/bin/core_perl:/usr/local/bin:/opt/cuda/bin:/usr/local/bin:/opt/cuda/bin',
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'TORCH_CUDA_ARCH_LIST': '3.0',
'USER': 'manjaro',
'USE_CUDA': '0',
'USE_CUDNN': '0',
'USE_DISTRIBUTED': '0',
'USE_FBGEMM': '0',
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'USE_MKLDNN': '0',
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'_': '/opt/anaconda/bin/python'}
-- The CXX compiler identification is GNU 5.4.1
-- The C compiler identification is GNU 5.4.1
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Performing Test COMPILER_WORKS
-- Performing Test COMPILER_WORKS - Success
-- Performing Test SUPPORT_GLIBCXX_USE_C99
-- Performing Test SUPPORT_GLIBCXX_USE_C99 - Success
-- Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED
-- Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED - Success
-- std::exception_ptr is supported.
-- Performing Test CAFFE2_IS_NUMA_AVAILABLE
-- Performing Test CAFFE2_IS_NUMA_AVAILABLE - Success
-- NUMA is available
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Success
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS - Success
-- Current compiler supports avx2 extension. Will build perfkernels.
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Success
-- Current compiler supports avx512f extension. Will build fbgemm.
-- 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
-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:/home/manjaro/Downloads/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- Trying to find preferred BLAS backend of choice: MKL
-- 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
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
-- Library mkl_intel_lp64: /opt/anaconda/lib/libmkl_intel_lp64.so
-- Library mkl_gnu_thread: /opt/anaconda/lib/libmkl_gnu_thread.so
-- Library mkl_core: /opt/anaconda/lib/libmkl_core.so
-- Found OpenMP_C: -fopenmp (found version "4.0")
-- Found OpenMP_CXX: -fopenmp (found version "4.0")
-- Found OpenMP: TRUE (found version "4.0")
-- Library gomp: -fopenmp
-- Library pthread: /usr/lib/libpthread.so
-- Library m: /usr/lib/libm.so
-- Library dl: /usr/lib/libdl.so
-- Looking for cblas_sgemm
-- Looking for cblas_sgemm - found
-- MKL library found
-- Check if compiler accepts -pthread
-- Check if compiler accepts -pthread - yes
-- Caffe2: Found gflags with new-style gflags target.
-- Caffe2: Cannot find glog automatically. Using legacy find.
-- Found glog: /usr/include
-- Caffe2: Found glog (include: /usr/include, library: /usr/lib/libglog.so)
-- Found Numa: /usr/include
-- Found Numa (include: /usr/include, library: /usr/lib/libnuma.so)
-- Downloading PSimd to /home/manjaro/Downloads/pytorch/build/confu-srcs/psimd (define PSIMD_SOURCE_DIR to avoid it)
-- Configuring done
-- Generating done
-- Build files have been written to: /home/manjaro/Downloads/pytorch/build/confu-deps/psimd-download
[1/9] Creating directories for 'psimd'
[2/9] Performing download step (git clone) for 'psimd'
Cloning into 'psimd'...
Already on 'master'
Your branch is up to date with 'origin/master'.
[3/9] No patch step for 'psimd'
[4/9] Performing update step for 'psimd'
Current branch master is up to date.
[5/9] No configure step for 'psimd'
[6/9] No build step for 'psimd'
[7/9] No install step for 'psimd'
[8/9] No test step for 'psimd'
[9/9] Completed 'psimd'
-- Using third party subdirectory Eigen.
Python 3.7.1
-- Found PythonInterp: /opt/anaconda/bin/python (found suitable version "3.7.1", minimum required is "2.7")
-- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0 (found suitable version "3.7.1", minimum required is "2.7")
-- Found PythonInterp: /opt/anaconda/bin/python (found version "3.7.1")
-- Found PythonLibs: /opt/anaconda/lib/libpython3.7m.so.1.0
-- System pybind11 found
-- pybind11 include dirs: /usr/include;/opt/anaconda/include/python3.7m
CMake Warning at cmake/Dependencies.cmake:805 (message):
Not using CUDA, so disabling NCCL. Suppress this warning with
-DUSE_NCCL=OFF.
Call Stack (most recent call first):
CMakeLists.txt:219 (include)
CMake Warning at cmake/Dependencies.cmake:950 (message):
Metal is only used in ios builds.
Call Stack (most recent call first):
CMakeLists.txt:219 (include)
--
-- ******** Summary ********
-- CMake version : 3.12.2
-- CMake command : /opt/anaconda/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler version : 5.4.1
-- CXX flags : -fvisibility-inlines-hidden -Wnon-virtual-dtor
-- Build type : Release
-- Compile definitions : TH_BLAS_MKL
-- CMAKE_PREFIX_PATH : /opt/anaconda/bin/../
-- CMAKE_INSTALL_PREFIX : /home/manjaro/Downloads/pytorch/torch
-- CMAKE_MODULE_PATH : /home/manjaro/Downloads/pytorch/cmake/Modules;/usr/share/cmake/pybind11
--
-- 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 : OFF
--
-- Protobuf compiler :
-- Protobuf includes :
-- Protobuf libraries :
-- BUILD_ONNX_PYTHON : OFF
-- Found gcc >=5 and CUDA <= 7.5, adding workaround C++ flags
-- Could not find CUDA with FP16 support, compiling without torch.CudaHalfTensor
-- Removing -DNDEBUG from compile flags
-- Found OpenMP_C: -fopenmp (found version "4.0")
-- Found OpenMP_CXX: -fopenmp (found version "4.0")
-- Compiling with OpenMP support
-- MAGMA not found. Compiling without MAGMA support
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Looking for cpuid.h
-- Looking for cpuid.h - found
-- Performing Test HAVE_GCC_GET_CPUID
-- Performing Test HAVE_GCC_GET_CPUID - Success
-- Performing Test NO_GCC_EBX_FPIC_BUG
-- Performing Test NO_GCC_EBX_FPIC_BUG - Success
-- 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 - Success
-- 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 - Success
-- 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 - Success
-- 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 - Success
-- AVX compiler support found
-- AVX2 compiler support found
-- Performing Test HAS_C11_ATOMICS
-- Performing Test HAS_C11_ATOMICS - Failed
-- Performing Test HAS_MSC_ATOMICS
-- Performing Test HAS_MSC_ATOMICS - Failed
-- Performing Test HAS_GCC_ATOMICS
-- Performing Test HAS_GCC_ATOMICS - Success
-- Atomics: using GCC intrinsics
-- 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
-- Found a library with BLAS API (mkl).
-- Found a library with LAPACK API (mkl).
disabling CUDA because NOT USE_CUDA is set
-- CuDNN not found. Compiling without CuDNN support
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
-- GCC 5.4.1: Adding gcc and gcc_s libs to link line
-- NUMA paths:
-- /usr/include
-- /usr/lib/libnuma.so
disabling CUDA because USE_CUDA is set false
-- 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 - Success
-- Performing Test COMPILER_SUPPORTS_SSE2
-- Performing Test COMPILER_SUPPORTS_SSE2 - Success
-- Performing Test COMPILER_SUPPORTS_SSE4
-- Performing Test COMPILER_SUPPORTS_SSE4 - Success
-- Performing Test COMPILER_SUPPORTS_AVX
-- Performing Test COMPILER_SUPPORTS_AVX - Success
-- Performing Test COMPILER_SUPPORTS_FMA4
-- Performing Test COMPILER_SUPPORTS_FMA4 - Success
-- Performing Test COMPILER_SUPPORTS_AVX2
-- Performing Test COMPILER_SUPPORTS_AVX2 - Success
-- Performing Test COMPILER_SUPPORTS_SVE
-- Performing Test COMPILER_SUPPORTS_SVE - Failed
-- Performing Test COMPILER_SUPPORTS_AVX512F
-- Performing Test COMPILER_SUPPORTS_AVX512F - Failed
-- Found OpenMP_C: -fopenmp (found version "4.0")
-- Found OpenMP_CXX: -fopenmp (found version "4.0")
-- 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
-- Configuring build for SLEEF-v3.2
Target system: Linux-4.14.94-1-MANJARO
Target processor: x86_64
Host system: Linux-4.14.94-1-MANJARO
Host processor: x86_64
Detected C compiler: GNU @ /usr/bin/cc
-- 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
-- MPFR : /opt/anaconda/lib/libmpfr.so
-- MPFR header file in /opt/anaconda/include
-- GMP : /opt/anaconda/lib/libgmp.so
-- RUNNING_ON_TRAVIS : 0
-- COMPILER_SUPPORTS_OPENMP : 1
-- /usr/bin/c++ /home/manjaro/Downloads/pytorch/torch/abi-check.cpp -o /home/manjaro/Downloads/pytorch/build/abi-check
-- Determined _GLIBCXX_USE_CXX11_ABI=1
-- NCCL operators skipped due to no CUDA support
-- Excluding ideep operators as we are not using ideep
-- Excluding image processing operators due to no opencv
-- Excluding video processing operators due to no opencv
-- MPI operators skipped due to no MPI support
-- Include Observer library
-- Using lib/python3.7/site-packages as python relative installation path
CMake Warning at CMakeLists.txt:416 (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 : 3.12.2
-- CMake command : /opt/anaconda/bin/cmake
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- C++ compiler version : 5.4.1
-- BLAS : MKL
-- CXX flags : -fvisibility-inlines-hidden -D_FORCE_INLINES -D_MWAITXINTRIN_H_INCLUDED -D__STRICT_ANSI__ -fopenmp -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -Wno-unused-but-set-variable -Wno-maybe-uninitialized
-- Build type : Release
-- Compile definitions : TH_BLAS_MKL;ONNX_NAMESPACE=onnx_torch;USE_GCC_ATOMICS=1;HAVE_MMAP=1;_FILE_OFFSET_BITS=64;HAVE_SHM_OPEN=1;HAVE_SHM_UNLINK=1;HAVE_MALLOC_USABLE_SIZE=1
-- CMAKE_PREFIX_PATH : /opt/anaconda/bin/../
-- CMAKE_INSTALL_PREFIX : /home/manjaro/Downloads/pytorch/torch
--
-- TORCH_VERSION : 1.1.0
-- CAFFE2_VERSION : 1.1.0
-- BUILD_ATEN_MOBILE : OFF
-- BUILD_ATEN_ONLY : OFF
-- BUILD_BINARY : False
-- BUILD_CUSTOM_PROTOBUF : ON
-- Link local protobuf : ON
-- BUILD_DOCS : OFF
-- BUILD_PYTHON : True
-- Python version : 3.7.1
-- Python executable : /opt/anaconda/bin/python
-- Pythonlibs version : 3.7.1
-- Python library : /opt/anaconda/lib/libpython3.7m.so.1.0
-- Python includes : /opt/anaconda/include/python3.7m
-- Python site-packages: lib/python3.7/site-packages
-- BUILD_CAFFE2_OPS : False
-- BUILD_SHARED_LIBS : ON
-- BUILD_TEST : False
-- USE_ASAN : OFF
-- USE_CUDA : False
-- USE_ROCM : False
-- USE_EIGEN_FOR_BLAS :
-- USE_FBGEMM : OFF
-- USE_FFMPEG : False
-- USE_GFLAGS : ON
-- USE_GLOG : ON
-- USE_LEVELDB : False
-- USE_LITE_PROTO : OFF
-- USE_LMDB : False
-- USE_METAL : OFF
-- USE_MKL : ON
-- USE_MKLDNN : OFF
-- USE_NCCL : OFF
-- USE_NNPACK : False
-- USE_NUMPY : ON
-- USE_OBSERVERS : ON
-- USE_OPENCL : OFF
-- USE_OPENCV : False
-- USE_OPENMP : OFF
-- USE_PROF : OFF
-- USE_QNNPACK : False
-- USE_REDIS : OFF
-- USE_ROCKSDB : OFF
-- USE_ZMQ : OFF
-- USE_DISTRIBUTED : False
-- Public Dependencies : Threads::Threads;caffe2::mkl;glog::glog
-- Private Dependencies : cpuinfo;/usr/lib/libnuma.so;fp16;onnxifi_loader;rt;gcc_s;gcc;dl
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:
NCCL_EXTERNAL
THD_SO_VERSION
答案 0 :(得分：1)
问题已解决。
我发现了问题所在，并进行了修复。整个问题在于，Anaconda发行版附带了自己的ld链接器，该链接器位于/ opt / anaconda / compiler_compat /中，并且使位于/ usr / bin的系统ld黯然失色。
要修复我的错误，我运行了python setup.py clean，然后将Anaconda的ld链接器临时重命名为ld-old，以使其在PyTorch安装期间不可见。