在Windows上构建pytorch时出现C1001内部编译器错误

分类：编程问答

如何解决在Windows上构建pytorch时出现C1001内部编译器错误

我正在尝试使用Visual Studio在Windows上构建Pytorch，但是似乎遇到了一些内部编译器错误，我无法找出其原因。 在46个目标中，有35个成功构建，直到最终因以下错误而失败。 在列出错误之前，这就是我构建错误的方法：

git clone --branch v1.6.0 https://github.com/pytorch/pytorch.git pytorch-1.6.0
cd pytorch-1.6.0
git submodule update --init --recursive
set CUDAHOSTCXX=
set DISTUTILS_USE_SDK=1
for /f "usebackq tokens=*" %i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -version [15^,16^) -products * -latest -property installationPath`) do call "%i\VC\Auxiliary\Build\vcvarsall.bat" x64 -vcvars_ver=14.27
python setup.py build --cmake-only
cmake-gui

这是我之后所做的：

pytorch_build|690x323

建筑群：

1>------ Build started: Project: defs.bzl,Configuration: Release x64 ------
2>------ Build started: Project: ATEN_CPU_FILES_GEN_TARGET,Configuration: Release x64 ------
3>------ Build started: Project: dnnl_cpu,Configuration: Release x64 ------
4>------ Build started: Project: generate-torch-sources,Configuration: Release x64 ------
5>------ Build started: Project: python_copy_files,Configuration: Release x64 ------
6>------ Build started: Project: gen_onnx_proto,Configuration: Release x64 ------
4>Generating ../../torch/csrc/autograd/generated/Functions.cpp,../../torch/csrc/jit/generated/generated_unboxing_wrappers_0.cpp,../../torch/csrc/jit/generated/generated_unboxing_wrappers_1.cpp,../../torch/csrc/jit/generated/generated_unboxing_wrappers_2.cpp,../../torch/csrc/autograd/generated/VariableType_0.cpp,../../torch/csrc/autograd/generated/VariableType_1.cpp,../../torch/csrc/autograd/generated/VariableType_2.cpp,../../torch/csrc/autograd/generated/VariableType_3.cpp,../../torch/csrc/autograd/generated/VariableType_4.cpp,../../torch/csrc/autograd/generated/ProfiledType_0.cpp,../../torch/csrc/autograd/generated/ProfiledType_1.cpp,../../torch/csrc/autograd/generated/ProfiledType_2.cpp,../../torch/csrc/autograd/generated/ProfiledType_3.cpp,../../torch/csrc/autograd/generated/ProfiledType_4.cpp,../../torch/csrc/autograd/generated/TraceType_0.cpp,../../torch/csrc/autograd/generated/TraceType_1.cpp,../../torch/csrc/autograd/generated/TraceType_2.cpp,../../torch/csrc/autograd/generated/TraceType_3.cpp,../../torch/csrc/autograd/generated/TraceType_4.cpp,../../torch/csrc/autograd/generated/Functions.h,../../torch/csrc/autograd/generated/variable_factories.h,../../torch/csrc/autograd/generated/VariableType.h,../../torch/csrc/autograd/generated/python_functions.cpp,../../torch/csrc/autograd/generated/python_variable_methods.cpp,../../torch/csrc/autograd/generated/python_torch_functions.cpp,../../torch/csrc/autograd/generated/python_nn_functions.cpp,../../torch/csrc/autograd/generated/python_functions.h
7>------ Build started: Project: __aten_op_header_gen,Configuration: Release x64 ------
8>------ Build started: Project: torch_python_stubs,Configuration: Release x64 ------
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>cpu_concat.cpp
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>cpu_layer_normalization_list.cpp
3>cpu_shuffle_list.cpp
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>gemm_convolution_utils.cpp
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>ref_convolution.cpp
3>ref_deconvolution.cpp
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>ref_eltwise.cpp
3>cl : command line warning D9025: overriding '/W1' with '/w'
3>ref_inner_product.cpp
3>ref_layer_normalization.cpp
3>ref_lrn.cpp
3>ref_pooling.cpp
3>ref_resampling.cpp
3>ref_shuffle.cpp
3>ref_softmax.cpp
3>D:\Codes\pytorch-1.6.0\third_party\ideep\mkl-dnn\src\cpu\gemm_convolution_utils.cpp(401): fatal error C1001: Internal compiler error.
3>(compiler file 'd:\agent\_work\7\s\src\vctools\Compiler\Utc\src\p2\main.c',line 195)
3> To work around this problem,try simplifying or changing the program near the locations listed above.
3>If possible please provide a repro here: https://developercommunity.visualstudio.com
3>Please choose the Technical Support command on the Visual C++
3> Help menu,or open the Technical Support help file for more information
3>  CL!RaiseException()+0x69
3>  CL!RaiseException()+0x69
3>  CL!CloseTypeServerPDB()+0x22e6b
3>  CL!CloseTypeServerPDB()+0xcd30a
3>simple_concat.cpp
3>simple_layer_normalization.cpp
3>simple_layer_normalization_kernels.cpp
3>simple_resampling.cpp
3>simple_sum.cpp
3>gemm_utils_f32.cpp
3>ref_gemm_f32.cpp
3>gemm.cpp
3>gemm_pack.cpp
3>ref_gemm_s8x8s32.cpp
3>simple_gemm_s8s8s32.cpp
3>cpu_matmul_list.cpp
3>cl : command line error D8040: error creating or communicating with child process
3>Done building project "dnnl_cpu.vcxproj" -- FAILED.
9>------ Build started: Project: dnnl,Configuration: Release x64 ------
9>Microsoft (R) Library Manager Version 14.27.29111.0
9>Copyright (C) Microsoft Corporation.  All rights reserved.
9>
9>"/OUT:D:\Codes\pytorch-1.6.0\build_dir\lib\Release\dnnl.lib" /NOLOGO /MACHINE:X64 /machine:x64 /ignore:4049 /ignore:4217 dnnl.dir\Release\version.res
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\batch_normalization.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\binary.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\concat.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\convolution.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\convolution_pd.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\deconvolution.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\dnnl_debug.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\dnnl_debug_autogenerated.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\eltwise.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\engine.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\inner_product.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\layer_normalization.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\lrn.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\matmul.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\memory.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\memory_debug.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\memory_desc_wrapper.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\memory_storage.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\memory_zero_pad.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\pooling.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive_attr.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive_cache.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive_desc.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive_exec_types.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive_hashing.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\primitive_iterator.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\query.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\reorder.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\resampling.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\rnn.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\rw_mutex.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\scratchpad.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\scratchpad_debug.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\shuffle.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\softmax.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\stream.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\stream_attr.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\sum.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\utils.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\common\dnnl_common.dir\Release\verbose.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\bfloat16.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_batch_normalization_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_batch_normalization_utils.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_binary_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_concat.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_convolution_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_deconvolution_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_eltwise_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_engine.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_inner_product_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_layer_normalization_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_lrn_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_pooling_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_reorder.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_resampling_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_rnn_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_shuffle_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_softmax_list.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\cpu_sum.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\gemm_convolution.obj"
9>"D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\gemm_convolution_utils.obj"
9>D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\gemm_convolution_utils.obj : fatal error LNK1136: invalid or corrupt file
9>Done building project "dnnl.vcxproj" -- FAILED.
10>------ Build started: Project: torch_cpu,Configuration: Release x64 ------
11>------ Build started: Project: compat_libs,Configuration: Release x64 ------
11>Error copying file "D:/Codes/pytorch-1.6.0/build_dir/lib/Release/dnnl.lib" to "D:/Codes/pytorch-1.6.0/build_dir/lib/Release/mkldnn.lib".
11>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(234,5): error MSB6006: "cmd.exe" exited with code 1.
11>Done building project "compat_libs.vcxproj" -- FAILED.
10>Generating ../../torch/csrc/autograd/generated/Functions.cpp,../../torch/csrc/autograd/generated/python_functions.h
4>Skipped writing torch/csrc\autograd\generated\python_functions.h
4>Skipped writing torch/csrc\autograd\generated\python_functions.cpp
4>Skipped writing torch/csrc\autograd\generated\python_variable_methods.cpp
4>Skipped writing torch/csrc\autograd\generated\python_torch_functions.cpp
4>Skipped writing torch/csrc\autograd\generated\python_nn_functions.cpp
4>Skipped writing torch/csrc\autograd\generated\VariableType.h
4>Skipped writing torch/csrc\autograd\generated\VariableType_0.cpp
4>Skipped writing torch/csrc\autograd\generated\ProfiledType_0.cpp
4>Skipped writing torch/csrc\autograd\generated\TraceType_0.cpp
4>Skipped writing torch/csrc\autograd\generated\VariableType_1.cpp
4>Skipped writing torch/csrc\autograd\generated\ProfiledType_1.cpp
4>Skipped writing torch/csrc\autograd\generated\TraceType_1.cpp
4>Skipped writing torch/csrc\autograd\generated\VariableType_2.cpp
4>Skipped writing torch/csrc\autograd\generated\ProfiledType_2.cpp
4>Skipped writing torch/csrc\autograd\generated\TraceType_2.cpp
4>Skipped writing torch/csrc\autograd\generated\VariableType_3.cpp
4>Skipped writing torch/csrc\autograd\generated\ProfiledType_3.cpp
4>Skipped writing torch/csrc\autograd\generated\TraceType_3.cpp
4>Skipped writing torch/csrc\autograd\generated\VariableType_4.cpp
4>Skipped writing torch/csrc\autograd\generated\ProfiledType_4.cpp
4>Skipped writing torch/csrc\autograd\generated\TraceType_4.cpp
4>Skipped writing torch/csrc\autograd\generated\VariableTypeEverything.cpp
4>Skipped writing torch/csrc\autograd\generated\ProfiledTypeEverything.cpp
4>Skipped writing torch/csrc\autograd\generated\TraceTypeEverything.cpp
4>Skipped writing torch/csrc\autograd\generated\RegistrationDeclarations.h
4>Skipped writing torch/csrc\autograd\generated\Functions.h
4>Skipped writing torch/csrc\autograd\generated\Functions.cpp
4>Skipped writing torch/csrc\autograd\generated\variable_factories.h
4>Skipped writing torch/csrc\jit\generated\generated_unboxing_wrappers_0.cpp
4>Skipped writing torch/csrc\jit\generated\generated_unboxing_wrappers_1.cpp
4>Skipped writing torch/csrc\jit\generated\generated_unboxing_wrappers_2.cpp
10>Skipped writing torch/csrc\autograd\generated\python_functions.h
10>Skipped writing torch/csrc\autograd\generated\python_functions.cpp
10>Skipped writing torch/csrc\autograd\generated\python_variable_methods.cpp
10>Skipped writing torch/csrc\autograd\generated\python_torch_functions.cpp
10>Skipped writing torch/csrc\autograd\generated\python_nn_functions.cpp
10>Skipped writing torch/csrc\autograd\generated\VariableType.h
10>Skipped writing torch/csrc\autograd\generated\VariableType_0.cpp
10>Skipped writing torch/csrc\autograd\generated\ProfiledType_0.cpp
10>Skipped writing torch/csrc\autograd\generated\TraceType_0.cpp
10>Skipped writing torch/csrc\autograd\generated\VariableType_1.cpp
10>Skipped writing torch/csrc\autograd\generated\ProfiledType_1.cpp
10>Skipped writing torch/csrc\autograd\generated\TraceType_1.cpp
10>Skipped writing torch/csrc\autograd\generated\VariableType_2.cpp
10>Skipped writing torch/csrc\autograd\generated\ProfiledType_2.cpp
10>Skipped writing torch/csrc\autograd\generated\TraceType_2.cpp
10>Skipped writing torch/csrc\autograd\generated\VariableType_3.cpp
10>Skipped writing torch/csrc\autograd\generated\ProfiledType_3.cpp
10>Skipped writing torch/csrc\autograd\generated\TraceType_3.cpp
10>Skipped writing torch/csrc\autograd\generated\VariableType_4.cpp
10>Skipped writing torch/csrc\autograd\generated\ProfiledType_4.cpp
10>Skipped writing torch/csrc\autograd\generated\TraceType_4.cpp
10>Skipped writing torch/csrc\autograd\generated\VariableTypeEverything.cpp
10>Skipped writing torch/csrc\autograd\generated\ProfiledTypeEverything.cpp
10>Skipped writing torch/csrc\autograd\generated\TraceTypeEverything.cpp
10>Skipped writing torch/csrc\autograd\generated\RegistrationDeclarations.h
10>Skipped writing torch/csrc\autograd\generated\Functions.h
10>Skipped writing torch/csrc\autograd\generated\Functions.cpp
10>Skipped writing torch/csrc\autograd\generated\variable_factories.h
10>Skipped writing torch/csrc\jit\generated\generated_unboxing_wrappers_0.cpp
10>Skipped writing torch/csrc\jit\generated\generated_unboxing_wrappers_1.cpp
10>Skipped writing torch/csrc\jit\generated\generated_unboxing_wrappers_2.cpp
10>LINK : fatal error LNK1181: cannot open input file '..\lib\Release\dnnl.lib'
10>Done building project "torch_cpu.vcxproj" -- FAILED.
12>------ Build started: Project: torch,Configuration: Release x64 ------
12>LINK : fatal error LNK1181: cannot open input file '..\lib\Release\torch_cpu.lib'
12>Done building project "torch.vcxproj" -- FAILED.
13>------ Build started: Project: caffe2_pybind11_state,Configuration: Release x64 ------
14>------ Build started: Project: shm,Configuration: Release x64 ------
15>------ Build started: Project: caffe2_observers,Configuration: Release x64 ------
16>------ Build started: Project: caffe2_detectron_ops,Configuration: Release x64 ------
15>LINK : fatal error LNK1181: cannot open input file '..\..\lib\Release\torch.lib'
15>Done building project "caffe2_observers.vcxproj" -- FAILED.
14>LINK : fatal error LNK1181: cannot open input file '..\..\..\..\lib\Release\torch.lib'
14>Done building project "shm.vcxproj" -- FAILED.
17>------ Build started: Project: torch_python,Configuration: Release x64 ------
18>------ Build started: Project: windows_python_copy_lib,Configuration: Release x64 ------
16>LINK : fatal error LNK1181: cannot open input file '..\..\lib\Release\torch.lib'
16>Done building project "caffe2_detectron_ops.vcxproj" -- FAILED.
18>Error copying file "D:/Codes/pytorch-1.6.0/build_dir/caffe2/python/Release/caffe2_pybind11_state.cp37-win_amd64.pyd" to "D:/Codes/pytorch-1.6.0/build_dir/caffe2/python".
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: The command "setlocal
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: "C:\Program Files\CMake\bin\cmake.exe" -E copy D:/Codes/pytorch-1.6.0/build_dir/caffe2/python/Release/caffe2_pybind11_state.cp37-win_amd64.pyd D:/Codes/pytorch-1.6.0/build_dir/caffe2/python
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: if %errorlevel% neq 0 goto :cmEnd
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: :cmEnd
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: :cmErrorLevel
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: exit /b %1
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: :cmDone
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: if %errorlevel% neq 0 goto :VCEnd
18>C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets(149,5): error MSB3073: :VCEnd" exited with code 1.
18>Done building project "windows_python_copy_lib.vcxproj" -- FAILED.
17>LINK : fatal error LNK1181: cannot open input file '..\..\lib\Release\shm.lib'
17>Done building project "torch_python.vcxproj" -- FAILED.
========== Build: 7 succeeded,11 failed,28 up-to-date,0 skipped ==========

链接器错误：

Severity    Code    Description Project File    Line    Suppression State
Error   C1001   Internal compiler error.    dnnl_cpu    D:\Codes\pytorch-1.6.0\third_party\ideep\mkl-dnn\src\cpu\gemm_convolution_utils.cpp 401 
Error   D8040   error creating or communicating with child process  dnnl_cpu    D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\cl   1   
Error   LNK1136 invalid or corrupt file dnnl    D:\Codes\pytorch-1.6.0\build_dir\third_party\ideep\mkl-dnn\src\cpu\dnnl_cpu.dir\Release\gemm_convolution_utils.obj  1   
Error   MSB6006 "cmd.exe" exited with code 1.   compat_libs C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets    234 
Error   LNK1181 cannot open input file '..\lib\Release\dnnl.lib'    torch_cpu   D:\Codes\pytorch-1.6.0\build_dir\caffe2\LINK    1   
Error   LNK1181 cannot open input file '..\lib\Release\torch_cpu.lib'   torch   D:\Codes\pytorch-1.6.0\build_dir\caffe2\LINK    1   
Error   LNK1181 cannot open input file '..\..\lib\Release\torch.lib'    caffe2_observers    D:\Codes\pytorch-1.6.0\build_dir\modules\observers\LINK 1   
Error   LNK1181 cannot open input file '..\..\..\..\lib\Release\torch.lib'  shm D:\Codes\pytorch-1.6.0\build_dir\caffe2\torch\lib\libshm_windows\LINK   1   
Error   LNK1181 cannot open input file '..\..\lib\Release\torch.lib'    caffe2_detectron_ops    D:\Codes\pytorch-1.6.0\build_dir\modules\detectron\LINK 1   
Error   MSB3073 The command "setlocal
"C:\Program Files\CMake\bin\cmake.exe" -E copy D:/Codes/pytorch-1.6.0/build_dir/caffe2/python/Release/caffe2_pybind11_state.cp37-win_amd64.pyd D:/Codes/pytorch-1.6.0/build_dir/caffe2/python
if %errorlevel% neq 0 goto :cmEnd
:cmEnd
endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone
:cmErrorLevel
exit /b %1
:cmDone
if %errorlevel% neq 0 goto :VCEnd
:VCEnd" exited with code 1. windows_python_copy_lib C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets    149 
Error   LNK1181 cannot open input file '..\..\lib\Release\shm.lib'  torch_python    D:\Codes\pytorch-1.6.0\build_dir\caffe2\torch\LINK  1

我在这里想念什么？

解决方法

您不是the first to encounter this issue：

从Visual Studio v16.6.4移至v16.7.1，我们现在看到以下内容 编译oneDNN时出错：

[路径] src \ cpu \ gemm_convolution_utils.cpp（401）：致命错误C1001： 内部编译器错误。

您的问题的解决方法是included in Pytorch 1.6.2。

编译器错误本身仍然是under investigation，到目前为止尚未解决。

,

内部编译器错误始终是编译器的错误。在这种情况下，可以防止构建在构建过程中稍后需要的库。

您的选择是有限的。我建议尝试使用其他版本的Visual Studio。

您还应该将此报告给Microsoft。

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