Welcome to ⚡ PyTorch Lightning =============================== .. twocolumns:: :left: .. image:: https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/mov.gif :alt: Animation showing how to convert standard training code to Lightning :right: PyTorch Lightning is the deep learning framework for professional AI researchers and machine learning engineers who need maximal flexibility without sacrificing performance at scale. Lightning evolves with you as your projects go from idea to paper/production. .. raw:: html
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Install Lightning ----------------- .. raw:: html
Pip users .. code-block:: bash pip install lightning .. raw:: html
Conda users .. code-block:: bash conda install lightning -c conda-forge .. raw:: html
Or read the `advanced install guide `_ You can find the list of supported PyTorch versions in our :ref:`compatibility matrix `. .. raw:: html
Get Started ----------- .. raw:: html
.. Add callout items below this line .. customcalloutitem:: :description: Learn the 7 key steps of a typical Lightning workflow. :header: Lightning in 15 minutes :button_link: starter/introduction.html .. customcalloutitem:: :description: Learn how to benchmark PyTorch Lightning. :header: Benchmarking :button_link: benchmarking/benchmarks.html .. raw:: html
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Current Lightning Users ----------------------- .. raw:: html
.. Add callout items below this line .. customcalloutitem:: :description: Learn Lightning in small bites at 4 levels of expertise: Introductory, intermediate, advanced and expert. :header: Level Up! :button_link: expertise_levels.html .. customcalloutitem:: :description: Detailed description of API each package. Assumes you already have basic Lightning knowledge. :header: API Reference :button_link: api_references.html .. customcalloutitem:: :description: From NLP, Computer vision to RL and meta learning - see how to use Lightning in ALL research areas. :header: Hands-on Examples :button_link: tutorials.html .. customcalloutitem:: :description: Learn how to do everything from hyper-parameters sweeps to cloud training to Pruning and Quantization with Lightning. :header: Common Workflows :button_link: common_usecases.html .. customcalloutitem:: :description: Convert your current code to Lightning :header: Convert code to PyTorch Lightning :button_link: starter/converting.html .. raw:: html
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.. toctree:: :maxdepth: 1 :name: start :caption: Home starter/introduction Install upgrade/migration_guide .. toctree:: :maxdepth: 2 :name: levels :caption: Level Up levels/core_skills levels/intermediate levels/advanced levels/expert .. toctree:: :maxdepth: 1 :name: pl_docs :caption: Core API common/lightning_module common/trainer .. toctree:: :maxdepth: 1 :name: api :caption: Optional API api_references .. toctree:: :maxdepth: 1 :name: More :caption: More Community Examples Glossary How to .. raw:: html
.. PyTorch-Lightning documentation master file, created by sphinx-quickstart on Fri Nov 15 07:48:22 2019. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive.