We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Currently, no matter if we use CPU or GPU, we pin memory. Rather, we should only pin memory if performing computations on CUDA cores.
use_cuda = args.cuda and torch.cuda.is_available() device = torch.device("cuda" if use_cuda else "cpu") dataloader_kwargs = {'pin_memory': True} if use_cuda else {}
The text was updated successfully, but these errors were encountered:
ayushkarnawat
No branches or pull requests
Currently, no matter if we use CPU or GPU, we pin memory. Rather, we should only pin memory if performing computations on CUDA cores.
The text was updated successfully, but these errors were encountered: