How to iterate over training set AGAIN on training epoch end?
❓ Questions and Help

What is your question?
How to iterate over training set AGAIN on training epoch end or on validation epoch start?
I have a model that works as expected on MNIST, but for my unique data, val_loss<train_loss for all samples.
I have no idea what causes this, and it is too suspicious to allow me to go on.
I want to do a validation step on training data, in eval mode
I hope it will ease my mind.
Code
Well, if I had code for how to correctly do this I wouldn't ask :)
What have you tried?
This doesn't sound like a standard use case, not even sure that's supported.
What's your environment?

OS: [e.g. iOS, Linux, Win] Win
Packaging [e.g. pip, conda] Pip
Version [e.g. 0.5.2.1] 1.1.4