pytorch / pytorch/benchmark

Setup the origin and license of each model in the metadata.yaml

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Dominant language
Python
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Description

  1. Use metadata.py to query these metadata
  2. In CI, check each model has these metadata

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading metadata.py and the existing metadata.yaml entries to understand how model metadata is queried and represented. Then inspect the repository's CI configuration to identify where validation belongs; the work is done when each model records its origin and license and CI checks that these metadata are present.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ci-cd, tooling
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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