PyTorch Lightning
In today's world, PyTorch Lightning is a topic of great relevance and interest to many people. Whether due to its impact on society, its relevance in the workplace or its influence on popular culture, PyTorch Lightning has captured the attention of individuals of all ages and backgrounds. Throughout history, PyTorch Lightning has played a crucial role in the evolution of humanity, and its study and research continues to be a priority for academics, scientists, and professionals in various fields. In this article, we will explore in depth the impact and importance of PyTorch Lightning, as well as the implications it has on our daily lives.
| PyTorch Lightning | |
|---|---|
 | |
| Original author | William Falcon |
| Developer | Various |
| Initial release | May 31, 2019 |
| Repository | github |
| Platform | Cross-platform |
| License | Apache License 2.0 |
| Website | lightning |
PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework.[1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from 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.
In 2019, Lightning was adopted by the NeurIPS Reproducibility Challenge as a standard for submitting PyTorch code to the conference.[2]
In 2022, the PyTorch Lightning library officially became a part of the Lightning framework, an open-source framework managed by the original creators of PyTorch Lightning.
References
- ^ "GitHub - PyTorch Lightning". GitHub. 2019-12-01.
- ^ "Reproducibility Challenge @NeurIPS 2019". NeurIPS. 2019-12-01. Retrieved 2019-12-01.
External links
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