Hi,
I have a pre-trained model and whenever I try to test my model on the same test data, I get different accuracy and loss every time.
For example, for my first try, I get 98% in test accuracy, but then when I re-test the model on the exact same test data loader, I now get 91%.
Since the model weights are fixed during inference, there should be no such thing as randomness.
What could have gone wrong here?
Here is an example:

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