pydata / pydata/sparse

Evaluation of TACO compiler

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discussion
Dominant language
Python
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668
Forks
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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

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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