I have a training code using pytorch lightning. To get the same results in each run, I set the seeds like this:
if __name__ == '__main__':
pl.seed_everything(1234)
random.seed(1234)
np.random.seed(1234)
torch.manual_seed(1234)
but I still get different prediction results. What should I do to make sure the output of the model are always the same for all runs?
Try using the function seed_everything from lightning.pytorch and also specify deterministic=True when initializing pl.Trainer.