pytorch / pytorch/executorch

Add complex dtype support and tests for: full

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module: kernels triaged
Dominant language
Python
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Avg merge
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Merged PRs (30d)
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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 files, tests, or entry points are identified in the issue. Start by locating the implementation and existing tests for the full operator, then determine the expected complex-dtype behavior and add coverage showing that full supports it.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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