Individual skill
pytorch-lightning
Organizes PyTorch training code with the lightning package (PyTorch Lightning): LightningModule, LightningDataModule, Trainer, callbacks such as ModelCheckpoint and EarlyStopping, loggers (TensorBoard, W&B, MLflow, Comet, CSV), and multi-GPU/TPU strategies (DDP, FSDP, DeepSpeed). Use when structuring a PyTorch model into training, validation and test steps. Use when configuring a Trainer for multi-GPU or TPU runs. Use when writing a LightningDataModule for data loading. Use when adding checkpointing, early stopping or experiment logging to a training run. Use when choosing between DDP, FSDP and DeepSpeed for a model size. Not for plain PyTorch loops without Lightning.
plugins/KalarisLabs/research-agent-skills/skills/pytorch-lightning/SKILL.md
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SKILL.mdcore · 10,401 bytesSKILL.mdcore · 10,401 bytesSKILL.mdcore · 10,401 bytesSKILL.mdcore · 10,401 bytesSKILL.mdcore · 10,401 bytesSKILL.mdcore · 10,401 bytesSKILL.mdcore · 10,401 bytesreferences/best_practices.mddoc · 16,074 bytesreferences/callbacks.mddoc · 15,540 bytesreferences/data_module.mddoc · 14,497 bytesreferences/distributed_training.mddoc · 14,286 bytesreferences/lightning_module.mddoc · 13,774 bytesreferences/logging.mddoc · 14,156 bytesreferences/trainer.mddoc · 14,784 bytesscripts/quick_trainer_setup.pyruns · 13,843 bytesscripts/template_datamodule.pyruns · 9,354 bytesscripts/template_lightning_module.pyruns · 6,045 bytes
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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.
**Current upstream:** lightning 2.6.4 (PyPI, May 2026). Docs: [lightning.ai/docs/pytorch/stable](https://lightning.ai/docs/pytorch/stable/). Use `import lightning as L` (the `pytorch-lightning` package name still installs the same library).
## Installation
```bash
uv pip install lightning
```
