pytorch / pytorch/executorch

[Android][E2E] Add E2E test for Qwen3

Open
#13,615 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

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

Description

🚀 The feature, motivation and pitch

This is to add the E2E test for Qwen3 xnnpack model

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

Start by locating the Android E2E test entry point and existing model test coverage, then determine how Qwen3 with XNNPACK should be exercised. Done means the Android E2E suite includes a passing test for the Qwen3 XNNPACK model.

Written by the indexing model from the issue text.

Assessment

Tech stack
android
Domain
machine-learning, mobile, testing
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.