diff --git a/.github/ISSUE_TEMPLATE/3_feature_request.yaml b/.github/ISSUE_TEMPLATE/3_feature_request.yaml new file mode 100644 index 0000000000..2ca2dfd5fb --- /dev/null +++ b/.github/ISSUE_TEMPLATE/3_feature_request.yaml @@ -0,0 +1,47 @@ +name: Feature request +description: Propose a feature for this project +labels: ["needs triage"] +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. diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md deleted file mode 100644 index 0d506dd923..0000000000 --- a/.github/ISSUE_TEMPLATE/feature_request.md +++ /dev/null @@ -1,41 +0,0 @@ ---- -name: Feature request -about: Propose a feature for this project -title: '' -labels: needs triage -assignees: '' ---- - -## 🚀 Feature - - - -### Motivation - - - -### Pitch - - - -### Alternatives - - - -### Additional context - - - -______________________________________________________________________ - -#### 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. - -- [**Lightning Transformers**](https://github.com/Lightning-AI/lightning-transformers): Flexible interface for high-performance research using SOTA Transformers leveraging PyTorch Lightning, Transformers, and Hydra.