For sure resnets need normalization, see the data_transforms in the Transfer learning tutorial:
https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html#sphx-glr-beginner-transfer-learning-tutorial-py 61
where you’d use the ‘val’ form for your test data.
Also, I don’t see your loss or “criterion” function. You might want
criterion=nn.CrossEntropyLoss()