Welcome to ⚡ PyTorch Lightning
===============================

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      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.

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Install Lightning
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Pip users

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    pip install lightning

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Conda users

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    conda install lightning -c conda-forge

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Or read the `advanced install guide <starter/installation.html>`_

You can find the list of supported PyTorch versions in our :ref:`compatibility matrix <versioning:Compatibility matrix>`.

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Get Started
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   :description: Learn the 7 key steps of a typical Lightning workflow.
   :header: Lightning in 15 minutes
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   :description: Learn how to benchmark PyTorch Lightning.
   :header: Benchmarking
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Current Lightning Users
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   :description: Learn Lightning in small bites at 4 levels of expertise: Introductory, intermediate, advanced and expert.
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   :description: Detailed description of API each package. Assumes you already have basic Lightning knowledge.
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   :description: From NLP, Computer vision to RL and meta learning - see how to use Lightning in ALL research areas.
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   :description: Learn how to do everything from hyper-parameters sweeps to cloud training to Pruning and Quantization with Lightning.
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   :description: Convert your current code to Lightning
   :header: Convert code to PyTorch Lightning
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.. toctree::
   :maxdepth: 1
   :name: start
   :caption: Home

   starter/introduction
   Install <starter/installation>
   upgrade/migration_guide


.. toctree::
   :maxdepth: 2
   :name: levels
   :caption: Level Up

   levels/core_skills
   levels/intermediate
   levels/advanced
   levels/expert

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   :name: pl_docs
   :caption: Core API

   common/lightning_module
   common/trainer

.. toctree::
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   :name: api
   :caption: Optional API

   api_references

.. toctree::
   :maxdepth: 1
   :name: More
   :caption: More

   Community <community/index>
   Examples <tutorials>
   Glossary <glossary/index>
   How to <common/index>


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