o zi@sLdZddlmZddlmZddlmZmZed dededfd d Z d S) z1Utilities to help with reproducibility of models.)contextmanager) Generator_collect_rng_states_set_rng_statesT include_cudareturn)NNNccst|}dVt|dS)aA context manager that resets the global random state on exit to what it was before entering. It supports isolating the states for PyTorch, Numpy, and Python built-in random number generators. Args: include_cuda: Whether to allow this function to also control the `torch.cuda` random number generator. Set this to ``False`` when using the function in a forked process where CUDA re-initialization is prohibited. Example: >>> import torch >>> torch.manual_seed(1) # doctest: +ELLIPSIS >>> with isolate_rng(): ... [torch.rand(1) for _ in range(3)] [tensor([0.7576]), tensor([0.2793]), tensor([0.4031])] >>> torch.rand(1) tensor([0.7576]) Nr)rstatesr T/home/ubuntu/.local/lib/python3.10/site-packages/pytorch_lightning/utilities/seed.py isolate_rngs r N)T) __doc__ contextlibrtypingrlightning_fabric.utilities.seedrrboolr r r r r s