This is probably a silly question but…
I am installing PyTorch on my laptop, which does not have a GPU. Ive been using a pre-installed version of PyTorch on Kaggle and GCP.
I assume I should select ‘None’ for CUDA on the “getting started” page?
I still want access to any methods or libraries that deal with CUDA like torch.cuda.is_available() so that I can write my code locally and then run it on a GPU when I need it.