NVIDIA / NVIDIA/Model-Optimizer
When creating a claude skill for puzzletron, quantization tests fails slowing down development process
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- Dominant language
- Python
- Stars
- 3.8k
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- Merged PRs (30d)
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Description
I made a claude skill for puzzletron algo, then on CI a quantization test failed.
https://github.com/NVIDIA/Model-Optimizer/actions/runs/27755920751/job/82119078253?pr=1769
from pull request: https://github.com/NVIDIA/Model-Optimizer/pull/1769
it happened multiple times before, slowing down development process in modelopt.
how about making modelopt more modular so that different parts could be developed in a more isolated way?
Contributor guide
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 with the failing quantization test in CI run 27755920751 and compare it with pull request 1769. Trace which Model-Optimizer components are coupled during that test and review the existing CI setup. Done should mean quantization development can run in isolation without unrelated failures, with CI coverage preserved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ci-cd, machine-learning, testing-qa
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100