Yeah, that's because cuda on a mac isn't a thing - it could be swapped to the normal torch package but you'd have to do some code patching to make sure it's running on mps, even then some of the code may need rewriting/patching if there's no mps version of the cuda kernals.
Isn't there a common PyTorch API interface that could chose OS/hardware specific backend automatically? Or this project is hard coding cuda variant of PyTorch as a requirement?
