Lightning-AI / Lightning-AI/lightning-thunder
nvFuser has a faster RMSNorm fusion definition than thunder's RMSNorm decomposition
Open
Nobody has claimed this yet.
operators
performance
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 121
- PR merge metrics
- No merged PRs in 30d
Description
See https://github.com/NVIDIA/Fuser/issues/3629 for details
cc @apaz-cli
Contributor guide
No contributing guide indexed for this repository
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 NVIDIA/Fuser issue 3629 and locating Thunder's RMSNorm decomposition and nvFuser's corresponding fusion definition. Compare the two approaches and verify that the faster definition can be represented in Thunder; done means the RMSNorm path uses the improved definition and its behavior is validated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- compilers, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100