I couldn’t go through the full installation from your link as it requires root access. Is there a way to tell torch where the cudnn library is after import?
I think the solution you suggest requires a local installation of cuda directly on that machine. The system administrators would prefer us working with cuda/cudnn modules instead.
EDIT: if it is not possible to install pytorch from source using cuda cudnn modules and having it recognise cudnn, which are the versions of CUDA and cuDNN you would suggest using for an up to date from source installation? The newest that are compatible with torch?
Thanks for the great help