Stores and retrieves state of random number generators. Sets random seed for
numpy. Does not set
torch.backends.cudnn.benchmark = False
A random state manager which provides some reproducibility without sacrificing potential training speed.
less_random does not set
torch.backends.cudnn.benchmark = False so it's possible to train faster. Training runs on the same GPU, PyTorch, & CUDA setup should be reproducible, but different hardware/software setup will probably have less reproducibility then using