Lightning-AI / Lightning-AI/lightning-thunder
Find and improve performance gaps if any for thunder + nvFP4
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 121
- PR merge metrics
- No merged PRs in 30d
Description
Depends on #2595
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 reviewing the prerequisite issue #2595, since this issue provides no independent implementation location or acceptance criteria. Use the outcome of #2595 to determine which Thunder and nvFP4 performance gaps remain, then verify that the identified gaps have been improved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- compilers, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100