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scientific-packages/pytorch-lightning/SKILL.md
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---
name: pytorch-lightning
description: Work with PyTorch Lightning for deep learning model training and research. This skill should be used when building, training, or deploying neural networks using PyTorch Lightning, organizing PyTorch code into LightningModules, configuring Trainers for multi-GPU/TPU training, implementing data pipelines with LightningDataModules, or working with callbacks, logging, and distributed training strategies (DDP, FSDP, DeepSpeed).
description: "Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training."
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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. It automates training workflows, multi-device orchestration, and best practices from research labs. Use this skill when working with neural network training, scaling models across multiple GPUs/TPUs, or structuring deep learning projects professionally.
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.
## When to Use This Skill
This skill should be used when:
- Building, training, or deploying neural networks using PyTorch Lightning
- Organizing PyTorch code into LightningModules
- Configuring Trainers for multi-GPU/TPU training
- Implementing data pipelines with LightningDataModules
- Working with callbacks, logging, and distributed training strategies (DDP, FSDP, DeepSpeed)
- Structuring deep learning projects professionally
## Core Capabilities