PyTorch Lightning

Overview

PyTorch Lightning is a deep learning framework that organizes PyTorch code to eliminate boilerplate while maintaining full flexibility. Automate training workflows, multi-device orchestration, and implement best practices for neural network training and scaling across multiple GPUs/TPUs.

Reviewed release: Lightning 2.6.6, including its checkpoint-loading security fixes. CPU tests use Python 3.11, Torch 2.14.1 and Lightning 2.6.6. Use import lightning as L with the lightning distribution. The alternative pytorch-lightning distribution exposes import pytorch_lightning as pl; do not mix class namespaces within one application. GPU, TPU, multi-node and online logger examples are source-verified illustrations, not executed training validation.

Installation

uv pip install "lightning==2.6.6"

Optional extras: