[Announce] Move existing models (< opset_version 13) to models/legacy
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Description
Feature Request
What is the problem that this feature solves?
All of existing ONNX Model Zoo models use opset_version<13, which is a quite old version (opset 12 released on May 8, 2020 in ONNX 1.7.0). Please see similar discussion in https://github.com/onnx/models/issues/472. While we will bring more new models with higher opset_version (i.e., 18): https://github.com/onnx/models/issues/617, move existing old models to models/legacy for better awareness. Also the upload requirements/model storage structure will be changed.
Describe the feature
Why is this feature necessary? What does it accomplish?
- Move existing models (< opset_version 13) to models/legacy
- ONNX Hub will continue to support download these old models, but please note that the location of these models will be changed. (Moved to models legacy)
- In the future, once ONNX Model Zoo has sufficient new models, we will remove the legacy directory entirely and please go ahead to use higher opset_version instead.
Relevant Model Zoo feature areas
Which area in the Model Zoo infrastructure does this impact?
Feature Area (e.g. CI, file organization, model storage, other):
CI, file organization
Notes
Any additional information
If anyone has any question/concern, feel free to raise in this thread. Thank you for the contribution!
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by inventorying the existing models and their opset versions, then review the models/legacy location and the ONNX Hub download references described in the issue. Done means models with opset_version below 13 are moved to models/legacy, while CI, file organization, and downloads continue to account for the new location.
Written by the indexing model from the issue text.
Assessment
- Domain
- ci-cd, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100