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pytorch-lightning

Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

skills/pytorch-lightning/SKILL.md

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# 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](https://github.com/Lightning-AI/pytorch-lightning/releases/tag/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

```bash
uv pip install "lightning==2.6.6"
```