You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
SSH-ing into one of those machines shows that the driver is too old:
python -c "import torch; print(torch.cuda.is_available())"
False
C:\Users\circleci\project\env\lib\site-packages\torch\cuda\__init__.py:52: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:115.)
return torch._C._cuda_getDeviceCount() > 0
@fmassa, who to ping for this? I suspect that all the other domains CI will be affected (EDIT: yes), and possibly those of pytorch?
The Windows GPU unittest workflows don't support cuda.
This can be seen in #4005 where the
unittest_windows_gpu_py3.8
workflow indicates thattorch.cuda.is_available()
returns False: https://app.circleci.com/pipelines/github/pytorch/vision/8793/workflows/0d3c21ce-7657-4388-b637-7361f318c441/jobs/638628SSH-ing into one of those machines shows that the driver is too old:
@fmassa, who to ping for this? I suspect that all the other domains CI will be affected (EDIT: yes), and possibly those of pytorch?
cc @seemethere
The text was updated successfully, but these errors were encountered: