Inheriting the PyTorch DataLoader class
Can we inherit the DataLoader class? If so, are there any specific restrictions to it? 
I know we can do so for the Dataset class, but I need to know specifically about the DataLoader.
I have some requirements for a specific use case which involves overriding some of the DataLoader methods and adding some new ones.
Would really appreciate the help!
Thanks....

Thanks @Jan and @TheodorPeifer for your useful inputs..! :)
I was able to resolve this with a combination of NamedTuple returns from the dataset __get_item__ calls with the &quot;worker_specific_info&quot;(torch.utils.data.get_worker_info()) along with a custom collate_fn implementation.
