Enable C++17 failed when build pytorch from source on windows

xianshunw: <p>Hi all,</p>
<p>It’s my first time to try build pytorch from source on windows. I followed the official build docs. Here is the cmake summaries</p>
<pre><code class="lang-auto">  --   System                    : Windows
  --   C++ compiler              : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/cl.exe
  --   C++ compiler version      : 19.37.32825.0
  --   CXX flags                 : /DWIN32 /D_WINDOWS /GR /EHsc /bigobj /FS -DUSE_PTHREADPOOL /std:c++17 /EHsc /wd26812
  --   Build type                : Release
  --   Compile definitions       : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS
  --   CMAKE_PREFIX_PATH         : D:\workspace\envs\py38_torch1.13.1_cuda11.6\Lib\site-packages;C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6
  --   CMAKE_INSTALL_PREFIX      : D:/workspace/codes/pytorch/torch
  --   CMAKE_MODULE_PATH         : D:/workspace/codes/pytorch/cmake/Modules;D:/workspace/codes/pytorch/cmake/public/../Modules_CUDA_fix
  --
  --   ONNX version              : 1.14.1
  --   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         : 3.24.1
  --   CMake command         : D:/workspace/envs/py38_torch1.13.1_cuda11.6/Library/bin/cmake.exe
  --   System                : Windows
  --   C++ compiler          : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/cl.exe
  --   C++ compiler version  : 19.37.32825.0
  --   CXX flags             : /DWIN32 /D_WINDOWS /GR /EHsc /bigobj /FS -DUSE_PTHREADPOOL
  --   Build type            : Release
  --   Compile definitions   : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1
  --   CMAKE_PREFIX_PATH     : D:\workspace\envs\py38_torch1.13.1_cuda11.6\Lib\site-packages;C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6
  --   CMAKE_INSTALL_PREFIX  : D:/workspace/codes/pytorch/torch
  --   CMAKE_MODULE_PATH     : D:/workspace/codes/pytorch/cmake/Modules;D:/workspace/codes/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
  -- 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.
  -- MKL_THREADING = OMP
  -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_sequential - mkl_core]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_core - pthread]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_core - pthread]
  --   Library mkl_intel: 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: BLAS_openblas_LIBRARY-NOTFOUND
  -- Checking for [openblas - pthread - m]
  --   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
  -- Checking for [openblas - pthread - m - gomp]
  --   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
  -- Checking for [libopenblas]
  --   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
  -- Checking for [goto2 - gfortran]
  --   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
  -- Checking for [goto2 - gfortran - pthread]
  --   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
  -- Checking for [acml - gfortran]
  --   Library acml: BLAS_acml_LIBRARY-NOTFOUND
  -- Checking for [blis]
  --   Library blis: BLAS_blis_LIBRARY-NOTFOUND
  -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
  -- Checking for [ptf77blas - atlas - gfortran]
  --   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
  -- Checking for []
  -- Cannot find a library with BLAS API. Not using BLAS.
  -- LAPACK requires BLAS
  -- Cannot find a library with LAPACK API. Not using LAPACK.
  disabling ROCM because NOT USE_ROCM is set
  -- MIOpen not found. Compiling without MIOpen support
  -- MKL_THREADING = OMP
  -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_intel_thread - mkl_core]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_sequential - mkl_core]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_core - libiomp5md - pthread]
  --   Library mkl_intel: not found
  -- Checking for [mkl_intel_lp64 - mkl_core - pthread]
  --   Library mkl_intel_lp64: not found
  -- Checking for [mkl_intel - mkl_core - pthread]
  --   Library mkl_intel: 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: BLAS_openblas_LIBRARY-NOTFOUND
  -- Checking for [openblas - pthread - m]
  --   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
  -- Checking for [openblas - pthread - m - gomp]
  --   Library openblas: BLAS_openblas_LIBRARY-NOTFOUND
  -- Checking for [libopenblas]
  --   Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND
  -- Checking for [goto2 - gfortran]
  --   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
  -- Checking for [goto2 - gfortran - pthread]
  --   Library goto2: BLAS_goto2_LIBRARY-NOTFOUND
  -- Checking for [acml - gfortran]
  --   Library acml: BLAS_acml_LIBRARY-NOTFOUND
  -- Checking for [blis]
  --   Library blis: BLAS_blis_LIBRARY-NOTFOUND
  -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY)
  -- Checking for [ptf77blas - atlas - gfortran]
  --   Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND
  -- Checking for []
  -- Cannot find a library with BLAS API. Not using BLAS.
  -- MKLDNN_CPU_RUNTIME = OMP
  -- DNNL_TARGET_ARCH: X64
  -- DNNL_LIBRARY_NAME: dnnl
  CMake Warning (dev) at D:/workspace/envs/py38_torch1.13.1_cuda11.6/Library/share/cmake-3.24/Modules/FindPackageHandleStandardArgs.cmake:438 (message):
    The package name passed to `find_package_handle_standard_args` (OpenMP_C)
    does not match the name of the calling package (OpenMP).  This can lead to
    problems in calling code that expects `find_package` result variables
    (e.g., `_FOUND`) to follow a certain pattern.
  Call Stack (most recent call first):
    cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args)
    third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:69 (find_package)
    third_party/ideep/mkl-dnn/CMakeLists.txt:117 (include)
  This warning is for project developers.  Use -Wno-dev to suppress it.
  
  CMake Warning (dev) at D:/workspace/envs/py38_torch1.13.1_cuda11.6/Library/share/cmake-3.24/Modules/FindPackageHandleStandardArgs.cmake:438 (message):
    The package name passed to `find_package_handle_standard_args` (OpenMP_CXX)
    does not match the name of the calling package (OpenMP).  This can lead to
    problems in calling code that expects `find_package` result variables
    (e.g., `_FOUND`) to follow a certain pattern.
  Call Stack (most recent call first):
    cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args)
    third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:69 (find_package)
    third_party/ideep/mkl-dnn/CMakeLists.txt:117 (include)
  This warning is for project developers.  Use -Wno-dev to suppress it.
  
  -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE)
  -- Found PythonInterp: D:/workspace/envs/py38_torch1.13.1_cuda11.6/python.exe (found suitable version "3.8.18", minimum required is "2.7")
  -- Could NOT find Sphinx (missing: SPHINX_EXECUTABLE)
  -- Enabled workload: TRAINING
  -- Enabled primitives: ALL
  -- Enabled primitive CPU ISA: ALL
  -- Enabled primitive GPU ISA: ALL
  -- Primitive cache is enabled
  -- Graph component is enabled
  -- Found MKL-DNN: TRUE
  -- Version: 10.1.0
  -- Build type: Release
  -- Using CPU-only version of Kineto
  -- Configuring Kineto dependency:
  --   KINETO_SOURCE_DIR = D:/workspace/codes/pytorch/third_party/kineto/libkineto
  --   KINETO_BUILD_TESTS = OFF
  --   KINETO_LIBRARY_TYPE = static
  -- Found PythonInterp: D:/workspace/envs/py38_torch1.13.1_cuda11.6/python.exe (found version "3.8.18")
  INFO CUDA_SOURCE_DIR =
  INFO ROCM_SOURCE_DIR =
  INFO CUPTI unavailable or disabled - not building GPU profilers
  -- Kineto: FMT_SOURCE_DIR = D:/workspace/codes/pytorch/third_party/fmt
  -- Kineto: FMT_INCLUDE_DIR = D:/workspace/codes/pytorch/third_party/fmt/include
  INFO CUPTI_INCLUDE_DIR = /extras/CUPTI/include
  INFO ROCTRACER_INCLUDE_DIR = /include/roctracer
  INFO DYNOLOG_INCLUDE_DIR = D:/workspace/codes/pytorch/third_party/kineto/libkineto/third_party/dynolog/
  INFO IPCFABRIC_INCLUDE_DIR = D:/workspace/codes/pytorch/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/
  -- Configured Kineto (CPU)
  CMake Warning (dev) at D:/workspace/envs/py38_torch1.13.1_cuda11.6/Library/share/cmake-3.24/Modules/CMakeDependentOption.cmake:89 (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:725 (cmake_dependent_option)
  This warning is for project developers.  Use -Wno-dev to suppress it.
  
  --
  -- Use the C++ compiler to compile (MI_USE_CXX=ON)
  --
  -- Library base name: mimalloc
  -- Version          : 1.8
  -- Build type       : release
  -- C++ Compiler     : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/cl.exe
  -- Compiler flags   : /Zc:__cplusplus
  -- Compiler defines :
  -- Link libraries   : psapi;shell32;user32;advapi32;bcrypt
  -- Build targets    : static
  --
  -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR)
  -- don't use NUMA
  -- headers outputs:
  -- sources outputs:
  -- declarations_yaml outputs:
  -- Using ATen parallel backend: OMP
  AT_INSTALL_INCLUDE_DIR include/ATen/core
  core header install: D:/workspace/codes/pytorch/build/aten/src/ATen/core/TensorBody.h
  core header install: D:/workspace/codes/pytorch/build/aten/src/ATen/core/aten_interned_strings.h
  core header install: D:/workspace/codes/pytorch/build/aten/src/ATen/core/enum_tag.h
  -- Generating sources for unboxing kernels D:/workspace/envs/py38_torch1.13.1_cuda11.6/python.exe;-m;torchgen.gen_executorch;--source-path=D:/workspace/codes/pytorch/test/edge/../../test/edge;--install-dir=D:/workspace/codes/pytorch/build/out;--tags-path=D:/workspace/codes/pytorch/test/edge/../../aten/src/ATen/native/tags.yaml;--aten-yaml-path=D:/workspace/codes/pytorch/test/edge/../../aten/src/ATen/native/native_functions.yaml;--use-aten-lib;--op-selection-yaml-path=D:/workspace/codes/pytorch/test/edge/../../test/edge/selected_operators.yaml;--custom-ops-yaml-path=D:/workspace/codes/pytorch/test/edge/../../test/edge/custom_ops.yaml
  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.
  
  -- Autodetected CUDA architecture(s):  8.6 6.1
  -- Using Lib/site-packages as python relative installation path
  CMake Warning at CMakeLists.txt:1113 (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.
  
  
  -- somehow this is happening
  --
  -- ******** Summary ********
  -- General:
  --   CMake version         : 3.24.1
  --   CMake command         : D:/workspace/envs/py38_torch1.13.1_cuda11.6/Library/bin/cmake.exe
  --   System                : Windows
  --   C++ compiler          : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/cl.exe
  --   C++ compiler id       : MSVC
  --   C++ compiler version  : 19.37.32825.0
  --   Using ccache if found : OFF
  --   CXX flags             : /DWIN32 /D_WINDOWS /GR /EHsc /bigobj /FS -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /utf-8 /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273
  --   Build type            : Release
  --   Compile definitions   : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;_CRT_SECURE_NO_DEPRECATE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;WIN32_LEAN_AND_MEAN;_UCRT_LEGACY_INFINITY;NOMINMAX;USE_MIMALLOC;BUILD_NVFUSER
  --   CMAKE_PREFIX_PATH     : D:\workspace\envs\py38_torch1.13.1_cuda11.6\Lib\site-packages;C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6
  --   CMAKE_INSTALL_PREFIX  : D:/workspace/codes/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      : 3.8.18
  --     Python executable   : D:/workspace/envs/py38_torch1.13.1_cuda11.6/python.exe
  --     Pythonlibs version  : 3.8.18
  --     Python library      : D:/workspace/envs/py38_torch1.13.1_cuda11.6/libs/python38.lib
  --     Python includes     : D:/workspace/envs/py38_torch1.13.1_cuda11.6/include
  --     Python site-packages: Lib/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              : 0
  --   USE_LAPACK            : 0
  --   USE_ASAN              : OFF
  --   USE_TSAN              : OFF
  --   USE_CPP_CODE_COVERAGE : OFF
  --   USE_CUDA              : ON
  --     Split CUDA          :
  --     CUDA static link    : OFF
  --     USE_CUDNN           : ON
  --     USE_EXPERIMENTAL_CUDNN_V8_API: ON
  --     USE_CUSPARSELT      : OFF
  --     CUDA version        : 11.6
  --     USE_FLASH_ATTENTION : ON
  --     cuDNN version       : 8.9.5
  --     CUDA root directory : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6
  --     CUDA library        : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cuda.lib
  --     cudart library      : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cudart.lib
  --     cublas library      : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cublas.lib
  --     cufft library       : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cufft.lib
  --     curand library      : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/curand.lib
  --     cusparse library    : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cusparse.lib
  --     cuDNN library       : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cudnn.lib
  --     nvrtc               : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/nvrtc.lib
  --     CUDA include path   : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/include
  --     NVCC executable     : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/bin/nvcc.exe
  --     CUDA compiler       : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/bin/nvcc.exe
  --     CUDA flags          : -D_WINDOWS -Xcompiler=" /GR /EHsc" -Xcompiler /w -w -Xcompiler /FS -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch --use-local-env -gencode arch=compute_86,code=sm_86 -gencode arch=compute_61,code=sm_61 -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 --Werror cross-execution-space-call --no-host-device-move-forward --expt-relaxed-constexpr --expt-extended-lambda  -Xcompiler=/wd4819,/wd4503,/wd4190,/wd4244,/wd4251,/wd4275,/wd4522 -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            : ON
  --     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            : ON
  --   USE_MKLDNN_ACL        : OFF
  --   USE_MKLDNN_CBLAS      : OFF
  --   USE_UCC               : OFF
  --   USE_ITT               : ON
  --   USE_NCCL              : OFF
  --   USE_NNPACK            : OFF
  --   USE_NUMPY             : ON
  --   USE_OBSERVERS         : ON
  --   USE_OPENCL            : OFF
  --   USE_OPENCV            : OFF
  --   USE_OPENMP            : ON
  --   USE_TBB               : OFF
  --   USE_MIMALLOC          : ON
  --   USE_VULKAN            : OFF
  --   USE_PROF              : OFF
  --   USE_QNNPACK           : OFF
  --   USE_PYTORCH_QNNPACK   : OFF
  --   USE_XNNPACK           : ON
  --   USE_REDIS             : OFF
  --   USE_ROCKSDB           : OFF
  --   USE_ZMQ               : OFF
  --   USE_DISTRIBUTED       : ON
  --     USE_MPI               : OFF
  --     USE_GLOO              : ON
  --     USE_GLOO_WITH_OPENSSL : OFF
  --     USE_TENSORPIPE        : OFF
  --   Public Dependencies  :
  --   Private Dependencies : Threads::Threads;pthreadpool;cpuinfo;XNNPACK;fbgemm;ittnotify;fp16;caffe2::openmp;gloo;foxi_loader;fmt::fmt-header-only;kineto
  --   Public CUDA Deps.    : caffe2::cufft;caffe2::curand;caffe2::cublas
  --   Private CUDA Deps.   : torch::cudnn;gloo_cuda;C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64/cudart_static.lib;CUDA::cusparse;CUDA::curand;CUDA::cufft;CUDA::cusolver;ATEN_CUDA_FILES_GEN_LIB
  --   USE_COREML_DELEGATE     : OFF
  --   BUILD_LAZY_TS_BACKEND   : ON
  --   TORCH_DISABLE_GPU_ASSERTS : OFF
  -- Configuring done
  -- Generating done
</code></pre>
<p>The build goes well at the beginning. but when it comes <code>caffe2</code> module, a fatal error occurs：</p>
<pre><code class="lang-auto">D:/workspace/codes/pytorch\c10/util/C++17.h(27): fatal error C1189: #error:  You need C++17 to compile PyTorch
</code></pre>
<p>It seems that the cmake try to enable c++17 by adding <code>-std=c++17</code> flag instead of <code>/std:c++17</code>:</p>
<pre><code class="lang-auto">FAILED: caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/cub.cu.obj
C:\PROGRA~1\NVIDIA~2\CUDA\v11.6\bin\nvcc.exe -forward-unknown-to-host-compiler -DAT_PER_OPERATOR_HEADERS -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DNOMINMAX -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DTORCH_CUDA_BUILD_MAIN_LIB -DUSE_C10D_GLOO -DUSE_CUDA -DUSE_DISTRIBUTED -DUSE_EXPERIMENTAL_CUDNN_V8_API -DUSE_EXTERNAL_MZCRC -DUSE_FLASH_ATTENTION -DUSE_MIMALLOC -DWIN32_LEAN_AND_MEAN -D_CRT_SECURE_NO_DEPRECATE=1 -D_UCRT_LEGACY_INFINITY -Dtorch_cuda_EXPORTS -ID:\workspace\codes\pytorch\build\aten\src -ID:\workspace\codes\pytorch\aten\src -ID:\workspace\codes\pytorch\build -ID:\workspace\codes\pytorch -ID:\workspace\codes\pytorch\cmake\..\third_party\benchmark\include -ID:\workspace\codes\pytorch\third_party\onnx -ID:\workspace\codes\pytorch\build\third_party\onnx -ID:\workspace\codes\pytorch\third_party\foxi -ID:\workspace\codes\pytorch\build\third_party\foxi -ID:\workspace\codes\pytorch\third_party\mimalloc\include -ID:\workspace\codes\pytorch\aten\src\THC -ID:\workspace\codes\pytorch\aten\src\ATen\cuda -ID:\workspace\codes\pytorch\aten\src\ATen\..\..\..\third_party\cutlass\include -ID:\workspace\codes\pytorch\build\caffe2\aten\src -ID:\workspace\codes\pytorch\aten\src\ATen\.. -ID:\workspace\codes\pytorch\c10\cuda\..\.. -ID:\workspace\codes\pytorch\c10\.. -ID:\workspace\codes\pytorch\torch\csrc\api -ID:\workspace\codes\pytorch\torch\csrc\api\include -isystem=D:\workspace\codes\pytorch\build\third_party\gloo -isystem=D:\workspace\codes\pytorch\cmake\..\third_party\gloo -isystem=D:\workspace\codes\pytorch\cmake\..\third_party\googletest\googlemock\include -isystem=D:\workspace\codes\pytorch\cmake\..\third_party\googletest\googletest\include -isystem=D:\workspace\codes\pytorch\third_party\protobuf\src -isystem=D:\workspace\codes\pytorch\third_party\XNNPACK\include -isystem=D:\workspace\codes\pytorch\third_party\ittapi\include -isystem=D:\workspace\codes\pytorch\cmake\..\third_party\eigen -isystem="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6\include" -isystem=D:\workspace\codes\pytorch\third_party\ideep\mkl-dnn\include\oneapi\dnnl -isystem=D:\workspace\codes\pytorch\third_party\ideep\include -isystem="C:\Program Files\NVIDIA Corporation\NvToolsExt\include" -isystem=D:\workspace\codes\pytorch\cmake\..\third_party\cudnn_frontend\include -D_WINDOWS -Xcompiler=" /GR /EHsc" -Xcompiler /w -w -Xcompiler /FS -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch --use-local-env -gencode arch=compute_86,code=sm_86 -gencode arch=compute_61,code=sm_61 -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 --Werror cross-execution-space-call --no-host-device-move-forward --expt-relaxed-constexpr --expt-extended-lambda  -Xcompiler=/wd4819,/wd4503,/wd4190,/wd4244,/wd4251,/wd4275,/wd4522 -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__ -Xcompiler="-O2 -Ob2" -DNDEBUG -Xcompiler /MD -Xcompiler=-MD -DCAFFE2_USE_GLOO -DTH_HAVE_THREAD -Xcompiler= -std=c++17 -MD -MT caffe2\CMakeFiles\torch_cuda.dir\__\aten\src\ATen\cuda\cub.cu.obj -MF caffe2\CMakeFiles\torch_cuda.dir\__\aten\src\ATen\cuda\cub.cu.obj.d -x cu -c D:\workspace\codes\pytorch\aten\src\ATen\cuda\cub.cu -o caffe2\CMakeFiles\torch_cuda.dir\__\aten\src\ATen\cuda\cub.cu.obj -Xcompiler=-Fdcaffe2\CMakeFiles\torch_cuda.dir\,-FS
cl: 命令行 warning D9002 :忽略未知选项“-std=c++17”
</code></pre>
<p>So I try add <code>/std:c++17</code> to <code>${CMAKE_CXX_FLAGS}</code> . But this seems not work.<br>
Is there any configs are missed in this process? Hope someone can give me some help or tips.</p>
<p>Thanks.</p>

julienw: <p>I got exactly the same error when trying to build the cuda version on Windows. I would really appreciate it if anyone could help me out here.</p>

Subham: <p>Hi, did you solve this yet?</p>

Subham: <p>Hi, did you solve this yet? Can you help me with this same error?</p>