NVIDIA / NVIDIA/TransformerEngine
[JAX] Integrate grouped tensor support into MaxText
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2.17
MoE
- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 831
- Avg merge
- 3d 11h
- Merged PRs (30d)
- 65
Description
Integrate JAX-based grouped tensor support with MaxText models, ensuring smooth data and workflow compatibility for MoE training and inference scenarios.
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
The issue names MaxText models and MoE training and inference, but gives no files, tests, or entry points. Start by locating the MaxText integration points and determining the required grouped-tensor data and workflow compatibility; done means grouped tensors work for both MoE training and inference.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100