Hi all,
So I was wondering the following two things.

What is the use of DataLoader?
What is the use of TensorDataset?

So the scenario begins where I have my current machine with 128GB of RAM.
Is there a particular reason why I should use TensorDataset or DataLoader instead of converting my complete Dataset into a Tensor?
Wouldn’t this be a considerably faster operation and also cause less usage of I/O inturn giving me speedups?
Am I missing something?
Sounds like a good discussing point of pytorch to me.