PyTorch apply transform

1

If we have a dataloader

train_loader = torch.utils.data.DataLoader(trainset_imoprt, batch_size=200, shuffle=True)
semi_loader = torch.utils.data.DataLoader(trainunl_imoprt, batch_size=200, shuffle=True)
valid_loader = torch.utils.data.DataLoader(validset_import, batch_size=200, shuffle=True)

How do we apply a transform to it? Like saying train_loader.dataset.transform = transform does nothing?

2

DataLoaders don’t support transforms, you need to make your dataset apply them.

3

look at existing examples: https://github.com/pytorch/examples or documentation for correct usage.