Our GPU cluster is shipped with nvidia driver version 460.67 and CUDA 11.2 now and, for some reasons, we are not able to upgrade the underlying driver version.
I want to try out PyTorch 2.0 in such a condition, but saw that the PyTorch 2.0 docker image
ghcr.io/pytorch/pytorch:2.0.0-devel was built with CUDA 11.7. I’ve tried to run it and it works well, but I am not sure if there will be implicit problems concerning the CUDA version mismatch.
Could somebody explain is it OK to do so? Or should I build PyTorch from source with CUDA 11.2?