Hi,
I am training a classification model. I found that if I directly test the accuracy using the model (which is stored in memory), versus that if I first save the model state dict to hard drive, and load it back (the model structure is exactly the same), the results are slightly different (by 1% absolute). Did anyone also observe similar situations, what might be the reason?
Thank you very much.