Hello everyone,
I’m trying to implement a training method, which trains the model on dataset A first and then continues the training on dataset B. Both datasets should be shuffled independently of each other. There is a class called torch.data.utils.ConcatDataset which enables the combination of 2 datasets however as far as I know it has no shuffling. The DataLoader class can perform the shuffle, but it will mix up the 2 datasets. So how do I implement the shuffling pre concatenation?
Thanks in advance