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docs(trainer): add note for NumPy randomness #21310

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docs(trainer): add note for NumPy randomness
adosar Oct 23, 2025
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Merge branch 'master' into docs/reproducibility_numpy
SkafteNicki Oct 23, 2025
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5 changes: 5 additions & 0 deletions docs/source-pytorch/common/trainer.rst
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Expand Up @@ -165,6 +165,11 @@ By setting ``workers=True`` in :func:`~lightning.pytorch.seed_everything`, Light
unique seeds across all dataloader workers and processes for :mod:`torch`, :mod:`numpy` and stdlib
:mod:`random` number generators. When turned on, it ensures that e.g. data augmentations are not repeated across workers.

.. note::

If your project depends on NumPy for randomness (e.g. for data
augmentation), it is recommended to use version 2.5.0 or higher.

-------

.. _trainer_flags:
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