PyTorch Lightning: Difference between revisions

Revision as of 03:16, 26 July 2024

Revision as of 19:15, 28 October 2024

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| website = {{URL|https://lightning.ai/}}

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'''PyTorch Lightning''' is an open-source [[Python (programming language)|Python]] library that provides a high-level interface for [[PyTorch]], a popular [[deep learning]] framework.<ref>{{Cite web|url=https://github.com/PyTorchLightning/pytorch-lightning|title=GitHub - PyTorch Lightning|last=|first=|date=2019-12-01|website=[[GitHub]]|archive-url=|archive-date=|access-date=}}</ref> It is a lightweight and high-performance framework that organizes PyTorch code to decouple the research from the engineering, thus making deep learning experiments easier to read and reproduce. It is designed to create scalable deep learning models that can easily run on distributed hardware while keeping the models' hardware [[Agnostic (data)|agnostic]].

In 2019, Lightning was adopted by the [[Conference on Neural Information Processing Systems|NeurIPS]] Reproducibility Challenge as a standard for submitting PyTorch code to the conference.<ref>{{Cite web|url=https://reproducibility-challenge.github.io/neurips2019/resources/|title=Reproducibility Challenge @NeurIPS 2019|last=|first=|date=2019-12-01|website=NeurIPS|archive-url=|archive-date=|access-date=2019-12-01}}</ref>