I’m new to PyTorch and to CNNs in general so I apologize if this is a strange question. I’ve trained a pretrained VGG-16 network and saved the checkpoint from each epoch along the way, but I’ve realized that while I have the training losses printed for each epoch, I didn’t have the validation losses.
So I’m wondering: Is it possible to run through in model.eval() and manually calculate the losses for each epoch with the checkpoints I have saved along the way? Would I need to call loss.backward() here as well?