🐛 Bug
When compiling a CUDA extension, it will complain that the MSVC compiler is not found.
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\nvcc.exe -c "C:\Users\peter\Desktop\try\D CNv2\src\cuda\dcn_v2_cuda.cu" -o "build\temp.win-amd64-3.7\Release\Users\peter\Desktop\try\D CNv2\src\cuda\dcn_v2_cuda.obj" "-IC:\Users\peter\Desktop\try\D CNv2\src" -IC:\Users\peter\Anaconda3\lib\site-packages\torch\include -IC:\Users\peter\Anaconda3\lib\site-packages\torch\include\torch\csrc\api\include -IC:\Users\peter\Anaconda3\lib\site-packages\torch\include\TH -IC:\Users\peter\Anaconda3\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\include" -IC:\Users\peter\Anaconda3\include -IC:\Users\peter\Anaconda3\include "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\VC\Tools\MSVC\14.11.25503\ATLMFC\include" "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\VC\Tools\MSVC\14.11.25503\include" "-IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.7.2\include\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt" "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\VC\Tools\MSVC\14.11.25503\ATLMFC\include" "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Enterprise\VC\Tools\MSVC\14.11.25503\include" "-IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt" -Xcompiler /EHsc -Xcompiler /wd4819 -Xcompiler /MD -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_ext -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=sm_61
dcn_v2_cuda.cu
'cl.exe' is not recognized as an internal or external command,
operable program or batch file.
To Reproduce
Steps to reproduce the behavior:
- git clone https://github.com/CharlesShang/DCNv2.git
- cd DCNv2
- python setup.py build
Expected behavior
Build passes.
Environment
PyTorch version: 1.5.0
Is debug build: No
CUDA used to build PyTorch: 10.1
OS: Microsoft Windows 10 Pro
GCC version: (Rev2, Built by MSYS2 project) 7.1.0
CMake version: version 3.17.2
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 9.0.176
GPU models and configuration: GPU 0: GeForce GTX 1070
Nvidia driver version: 445.87
cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\cudnn64_7.dll
Versions of relevant libraries:
[pip3] numpy==1.17.3
[pip3] torch==1.3.1+cu92
[pip3] torchvision==0.4.2+cu92
[conda] blas 1.0 mkl defaults
[conda] mkl 2019.4 245 defaults
[conda] mkl-service 2.3.0 py37hb782905_0 defaults
[conda] mkl_fft 1.0.14 py37h14836fe_0 defaults
[conda] mkl_random 1.1.0 py37h675688f_0 defaults
[conda] pytorch 1.5.0 py3.7_cuda101_cudnn7_0 pytorch
[conda] torchfile 0.1.0 pypi_0 pypi
[conda] torchvision 0.6.0 py37_cu101 pytorch
Additional context
The solution is to pass the the path of the cl compiler to nvcc using -ccbin.
🐛 Bug
When compiling a CUDA extension, it will complain that the MSVC compiler is not found.
To Reproduce
Steps to reproduce the behavior:
Expected behavior
Build passes.
Environment
PyTorch version: 1.5.0
Is debug build: No
CUDA used to build PyTorch: 10.1
OS: Microsoft Windows 10 Pro
GCC version: (Rev2, Built by MSYS2 project) 7.1.0
CMake version: version 3.17.2
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 9.0.176
GPU models and configuration: GPU 0: GeForce GTX 1070
Nvidia driver version: 445.87
cuDNN version: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0\bin\cudnn64_7.dll
Versions of relevant libraries:
[pip3] numpy==1.17.3
[pip3] torch==1.3.1+cu92
[pip3] torchvision==0.4.2+cu92
[conda] blas 1.0 mkl defaults
[conda] mkl 2019.4 245 defaults
[conda] mkl-service 2.3.0 py37hb782905_0 defaults
[conda] mkl_fft 1.0.14 py37h14836fe_0 defaults
[conda] mkl_random 1.1.0 py37h675688f_0 defaults
[conda] pytorch 1.5.0 py3.7_cuda101_cudnn7_0 pytorch
[conda] torchfile 0.1.0 pypi_0 pypi
[conda] torchvision 0.6.0 py37_cu101 pytorch
Additional context
The solution is to pass the the path of the cl compiler to nvcc using
-ccbin.