Thanks. I am writing a network that train from scratch with own dataset. My aim to reproduce the result after each running. However, i cannot reproduce it ( because the losses are different when i rerun the code). This is my setting
random.seed(1234) #  np.randint()
torch.manual_seed(1234)
cudnn.enabled = True
cudnn.benchmark=True

Do you have any suggession?