NVIDIA / NVIDIA/TransformerEngine
Enable Router custom call from JAX
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- Dominant language
- Python
- Stars
- 3.5k
- Forks
- 831
- Avg merge
- 3d 11h
- Merged PRs (30d)
- 65
Description
Current router kernels are present in common and callable from Pytorch side but not JAX. Need to support JAX router for either standalone use or later intergation to Maxtext moe layer.
These router kernels are CUDA kernels so using jax ffi lowering is sufficient.
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 by locating the existing common router kernels and their PyTorch-side call path. Then investigate how JAX FFI lowering can expose the CUDA kernels for standalone router use or later MaxText MoE integration. Done means JAX can call the router kernels successfully.
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
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100