pytorch / pytorch/executorch

Shared activation memory with ExecuTorch

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module: xnnpack triaged
Dominant language
Python
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Description

cc @digantdesai @mcr229

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 and only identifies shared activation memory with ExecuTorch. First clarify the desired behavior and scope with the referenced people, then locate the relevant activation-memory implementation; completion criteria are not defined in the issue.

Written by the indexing model from the issue text.

Assessment

Domain
ai, embedded-iot
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
10/100

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