pytorch / pytorch/executorch

Add complex dtype support and tests for: unsqueeze_copy

Open
#11,409 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

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

Description

cc @larryliu0820

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

No file or test path is named. Start by locating the unsqueeze_copy entry point and its existing tests, then trace how dtype support is handled. Done means complex dtypes are supported for unsqueeze_copy and the added tests pass.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, testing-qa
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 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.