Support Tensor views
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 668
- Forks
- 141
- Avg merge
- 2d 8h
- Merged PRs (30d)
- 4
Description
MLIR backend should support Tensor views so that operations, such as slicing, indexing, and broadcasting, don't create a copy.
For example broadcast_to (https://github.com/pydata/sparse/pull/782) should support it.
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 inspecting the MLIR backend and the implementation of tensor operations such as slicing, indexing, broadcasting, and broadcast_to. Review the behavior described in pull request 782. Done means these operations support Tensor views without creating copies.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100