Triton JIT support for device APIs
Open
Nobody has claimed this yet.
- Dominant language
- Cython
- Stars
- 601
- Forks
- 46
- PR merge metrics
- No merged PRs in 30d
Description
There is already support for Numba CUDA JIT but Triton JIT interacts much better with frameworks like PyTorch.
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 no files, tests, or entry points. Start by locating the existing Numba CUDA JIT support and reviewing how device APIs are exposed, then compare the requirements for Triton JIT with PyTorch. Done should mean Triton JIT support is available for the relevant device APIs, with coverage for the supported use cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- backend, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100