I am using the PyTorch DataLoader for MNIST dataset. I wanted to know if there is any equivalent of make_one_shot_iterator in pytorch. All I want to do is make a circular iterator so that we can do multiple passes through the dataset. I know we can achieve this by running multiple training iterations but I wanted to know if there is a way like this.