Model prediction slightly different at each run

[Ali_Mirzaeyan]

apparently the dataloader is not deterministic and in this post shows hows to make it deterministic:

DataLoader is not deterministic

Hi, I am using DataLoader and even with single worker getting different generation of image order. How can I make it generate the same image order every time ? (and does it depend on #workers?) Code is initialized with: random.seed(1) torch.manual_seed(1) torch.backends.cudnn.deterministic = True In addition, I would like to be able to serialize DataLoader’s internal state to file so that if I stop the run at the middle of an epoch and resume it later then I can continue from the same plac…