Files
pytorch/scripts/appveyor/install_cuda.bat
Yangqing Jia 38f3d1fc40 move flags to c10 (#12144)
Summary:
still influx.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12144

Reviewed By: smessmer

Differential Revision: D10140176

Pulled By: Yangqing

fbshipit-source-id: 1a313abed022039333e3925d19f8b3ef2d95306c
2018-10-04 02:09:56 -07:00

23 lines
994 B
Batchfile

@echo on
appveyor DownloadFile ^
https://developer.nvidia.com/compute/cuda/8.0/prod/local_installers/cuda_8.0.44_windows-exe ^
-FileName cuda_8.0.44_windows.exe
appveyor Downloadfile ^
http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-windows10-x64-v5.1.zip ^
-FileName cudnn-8.0-windows10-x64-v5.1.zip
cuda_8.0.44_windows.exe -s compiler_8.0 cublas_8.0 cublas_dev_8.0 cudart_8.0 curand_8.0 curand_dev_8.0 nvrtc_8.0 nvrtc_dev_8.0
set PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v8.0\libnvvp;%PATH%
7z x cudnn-8.0-windows10-x64-v5.1.zip
copy cuda\include\cudnn.h ^
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include\"
copy cuda\lib\x64\cudnn.lib ^
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\lib\x64\"
copy cuda\bin\cudnn64_5.dll ^
"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\"
:: Make sure that nvcc is working correctly.
nvcc -V || exit /b