name: Feature request description: Propose a feature for this project labels: ["needs triage", "feature"] body: - type: textarea attributes: label: Description & Motivation description: A clear and concise description of the feature proposal placeholder: | 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 it here - type: textarea attributes: label: Pitch description: A clear and concise description of what you want to happen. validations: required: false - type: textarea attributes: label: Alternatives description: A clear and concise description of any alternative solutions or features you've considered, if any. validations: required: false - type: textarea attributes: label: Additional context description: Add any other context or screenshots about the feature request here. validations: required: false - type: markdown attributes: value: > ### If you enjoy Lightning, check out our other projects! ⚡ - [**Metrics**](https://github.com/Lightning-AI/metrics): Machine learning metrics for distributed, scalable PyTorch applications. - [**Lite**](https://pytorch-lightning.readthedocs.io/en/latest/starter/lightning_lite.html): enables pure PyTorch users to scale their existing code on any kind of device while retaining full control over their own loops and optimization logic. - [**Flash**](https://github.com/Lightning-AI/lightning-flash): The fastest way to get a Lightning baseline! A collection of tasks for fast prototyping, baselining, fine-tuning, and solving problems with deep learning. - [**Bolts**](https://github.com/Lightning-AI/lightning-bolts): Pretrained SOTA Deep Learning models, callbacks, and more for research and production with PyTorch Lightning and PyTorch.