Files
pytorch/.github/ISSUE_TEMPLATE/release-feature-request.yml
2025-05-27 22:45:21 +00:00

112 lines
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YAML

name: 🚀 Release highlight for proposed Feature
description: Submit a Release highlight for proposed Feature
labels: ["release-feature-request"]
body:
- type: textarea
attributes:
label: Release highlight for proposed Feature
description: >
Example: “A torch.special module, analogous to SciPy's special module.”
- type: input
id: contact
attributes:
label: Point(s) of contact
description: How can we get in touch with you if we need more info?
placeholder: ex. github username
validations:
required: false
- type: dropdown
attributes:
label: Release Mode (pytorch/pytorch features only)
description: |
If "out-of-tree", please include the GH repo name
options:
- In-tree
- Out-of-tree
validations:
required: true
- type: textarea
attributes:
label: Out-Of-Tree Repo
description: >
please include the GH repo name
validations:
required: false
- type: textarea
attributes:
label: Description and value to the user
description: >
Please provide a brief description of the feature and how it will benefit the user.
validations:
required: false
- type: textarea
attributes:
label: Link to design doc, GitHub issues, past submissions, etc
validations:
required: false
- type: textarea
attributes:
label: What feedback adopters have provided
description: >
Please list users/teams that have tried the feature and provided feedback. If that feedback motivated material changes (API, doc, etc..), a quick overview of the changes and the status (planned, in progress, implemented) would be helpful as well.
validations:
required: false
- type: dropdown
attributes:
label: Plan for documentations / tutorials
description: |
Select One of the following options
options:
- Tutorial exists
- Will submit a PR to pytorch/tutorials
- Will submit a PR to a repo
- Tutorial is not needed
validations:
required: true
- type: textarea
attributes:
label: Additional context for tutorials
description: >
Please provide a link for existing tutorial or link to a repo or context for why tutorial is not needed.
validations:
required: false
- type: dropdown
attributes:
label: Marketing/Blog Coverage
description: |
Are you requesting feature Inclusion in the release blogs?
options:
- "Yes"
- "No"
validations:
required: true
- type: textarea
attributes:
label: Are you requesting other marketing assistance with this feature?
description: >
E.g. supplementary blogs, social media amplification, etc.
validations:
required: false
- type: textarea
attributes:
label: Release Version
description: >
Please include release version for marketing coverage.
validations:
required: false
- type: textarea
attributes:
label: OS / Platform / Compute Coverage
description: >
Please list the platforms supported by the proposed feature. If the feature supports all the platforms, write "all". Goal of this section is to clearly share if this feature works in all PyTorch configurations or is it limited to only certain platforms/configurations (e.g. CPU only, GPU only, Linux only, etc...)
validations:
required: false
- type: textarea
attributes:
label: Testing Support (CI, test cases, etc..)
description: >
Please provide an overview of test coverage. This includes unit testing and integration testing, but if E2E validation testing has been done to show that the feature works for a certain set of use cases or models please mention that as well.
validations:
required: false