Maybe I’ve misunderstood something…but then I’ve just transformed my training data and not augmented it? I could save 10 versions of transformations per datapoint, but at some point, this is going to be expensive.
(I don’t have that many datapoints and need intensive data-augmentation, which worked pretty well in keras).
I thought torchvision.datasets applies them per epoch (or batch)?