I noticed that the model does not produce reproducible results even when I set the PyTorch random seed using torch.manual_seed(), and also control other randomness-related settings (e.g., setting torch.backends.cudnn.deterministic = True and torch.backends.cudnn.benchmark = False). Each run still gives slightly different results.
Has anyone managed to make this model deterministic? Any suggestions are appreciated.
I noticed that the model does not produce reproducible results even when I set the PyTorch random seed using torch.manual_seed(), and also control other randomness-related settings (e.g., setting torch.backends.cudnn.deterministic = True and torch.backends.cudnn.benchmark = False). Each run still gives slightly different results.
Has anyone managed to make this model deterministic? Any suggestions are appreciated.