seed¶

Functions

isolate_rng

A context manager that resets the global random state on exit to what it was before entering.

Utilities to help with reproducibility of models.

lightning.pytorch.utilities.seed.isolate_rng(include_cuda=True)[source]¶

A 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.

Parameters: include_cuda¶ (bool) – 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)  
<torch._C.Generator object at ...>
>>> 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])

Return type: Generator[None, None, None]