You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hey, parallel GPU usage should be a simple addition by wrapping the generator and discriminator(s) in a DataParallel module, for example in Image2Image.py. Do you want to make this addition yourself and then submit a pull request so I can add it to the codebase?
For GPU utilisation, it's true that some training loops are a bit GPU-starved because of slow data loading. This only applies to some tasks I think though - which one are you trying? We could investigate together how to speed things up in this regard.
I have two GPUs in my machine. Is there a way to use multiple gpus for training? I can see training is not fully utilizing the GPU memory as well
The text was updated successfully, but these errors were encountered: