Wesley_Neill:

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.


The CPU package will include these method, so that you can write device-agnostic code.
If you try to execute a CUDA operation, an error will be raised. However, no errors should be raised for utilitz functions e.g. to check of a GPU is available.