Can torchvision transforms/augmentations be applied after normalization?

Or must Normalize(mean, std) always be applied last?

torchvision.transform accept tensors as well so you could apply some of them after normaliying the tensor.
However, I would use transformations designed to change the actual pixel values of images (e.g. random color transforms) before convertig the image to a tensor.