I have a processed ImageNet data that has been put into (a standard) ten ‘binary’ batches {train_data_batch_1, train_data_batch_2, …, train_data_batch_10}.
What is the best way, and how, to unpack these ‘binary’ patches and to use them later in a PyTorch dataset class? Is there a Dataset Class that accepts batches as inputs?