pytorch / pytorch/executorch

Improve GPU performance

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triaged
Dominant language
Python
Stars
5k
Forks
1.2k
Avg merge
2d 10h
Merged PRs (30d)
581

Description

🚀 The feature, motivation and pitch

Improve GPU performance on CoreML (can you use MLX?).

Alternatives

No response

Additional context

No response

RFC (Optional)

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  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

The issue names no files, tests, or entry points. Begin by locating the CoreML execution path and evaluating the MLX suggestion; done requires a defined and validated GPU-performance improvement, but the issue does not specify a measurable target.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, mobile-dev, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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