Evaluation of TACO compiler
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discussion
- Dominant language
- Python
- Stars
- 668
- Forks
- 141
- Avg merge
- 2d 8h
- Merged PRs (30d)
- 4
Description
From all the examples I can see, the TACO compiler is good for einsum-type expressions, and any that involve tensor products, contractions and sums. I've posted about it here: tensor-compiler/taco#276
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
No files, tests, or entry points are named. Start with the linked TACO discussion and the repository documentation, then clarify what evaluation is expected and how completion would be measured.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100