hongyi-zhang

Your dataloaders are taking up the bulk of the running time. It's likely that you are not assigning enough CPUs for the workers. Try e.g. at least 32 CPUs for...

Let's say you want to shuffle [1, 2, 3, 4, 5, 6] into [1, 4, 2, 5, 3, 6], just do: torch.Tensor([1, 2, 3, 4, 5, 6]).view(2, 3).permute(1, 0).contiguous().view(6) To...