pymc-devs / pymc-devs/pytensor-ml
Implement SparseAdam optimizer
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- Dominant language
- Python
- Stars
- 9
- Forks
- 7
- Avg merge
- 6h 55m
- Merged PRs (30d)
- 40
Description
Adam restricted to sparse gradient entries, see torch.optim.SparseAdam.
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 reading the linked PyTorch SparseAdam documentation and locate the existing optimizer entry points in pytensor-ml. Compare the intended sparse-gradient behavior with the project's current optimizer implementations, then verify that the implementation matches the reference behavior with appropriate tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100