lightning/.github/ISSUE_TEMPLATE/feature_request.md

---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: enhancement, help wanted
assignees: ''

---

## 🚀 Feature
<!-- A clear and concise description of the feature proposal -->

### Motivation

<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->

### Pitch

<!-- A clear and concise description of what you want to happen. -->

### Alternatives

<!-- A clear and concise description of any alternative solutions or features you've considered, if any. -->

### Additional context

<!-- Add any other context or screenshots about the feature request here. -->


#### If you enjoy PL, check out our other projects:

- [Metrics](https://github.com/PyTorchLightning/metrics): Machine learning metrics for distributed, scalable PyTorch applications.
- [Flash](https://github.com/PyTorchLightning/lightning-flash): The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning
- [Bolts](https://github.com/PyTorchLightning/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch
- [Lightning Transformers](https://github.com/PyTorchLightning/lightning-transformers): Flexible interface for high performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.