pytorch / pytorch/executorch

Add complex dtype support and tests for: clone

Open
#11,414 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

Start by locating the implementation and existing tests for the clone operation in the Executorch codebase. Determine where complex dtype support is handled, then add coverage showing the expected clone behavior for complex values; the issue provides no file or test path to narrow the search.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.