Mini Batches respecting class proportion/frequency

[Fra (Francesco)]

I have currently found the answer here:

How to enable the dataloader to sample from each class with equal probability

The dataloader utility in torch (courtesy of Soumith Chintala) allowed one to sample from each class with equal probability. I was wondering, if there is a straightforward approach to enable the same in pytorch dataloaders.