PyTorch Lightning Documentation
================================

.. image:: https://img.shields.io/pypi/v/lightning.svg
   :target: https://pypi.org/project/lightning/
   :alt: PyPI version

.. image:: https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue
   :alt: Python versions

**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 organizes PyTorch code to remove boilerplate and unlock Trainer features like
multi-GPU, mixed-precision, gradient accumulation, and more.

.. code-block:: bash

   pip install lightning

.. code-block:: python

   import lightning as L
   from lightning.pytorch import Trainer

   trainer = Trainer(max_epochs=100, accelerator="auto")
   trainer.fit(model, train_dataloader, val_dataloader)

.. toctree::
   :maxdepth: 2
   :caption: Getting Started

   installation
   quickstart

.. toctree::
   :maxdepth: 2
   :caption: User Guide

   trainer
   modules
   callbacks
   logging

.. toctree::
   :maxdepth: 1
   :caption: Reference

   changelog