You could save each sample using torch.save, if you would like to save the tensors directly.
Note, that random data augmentation methods are applied with random parameters on the fly in your Dataset. If you store these augmented data samples, the transformations will be static now after reloading.
Could you explain your use case a bit and why you would like to store these samples?