pytorch / pytorch/executorch

What should I do if there is SoC for my processor?

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module: qnn partner: qualcomm
Dominant language
Python
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Description

📚 The doc issue

Hello. I have a device with a Snapdragon 685 processor, it is not on the Qualcomm SoCs list. In this case, the only thing left for me is to convert via Xnnpack? And will the model converted via Xnnpack work on android?

Suggest a potential alternative/fix

No response

cc @cccclai @winskuo-quic @shewu-quic @haowhsu-quic @DannyYuyang-quic @cbilgin

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 reviewing the Qualcomm SoCs list and the project's XNNPACK and Android guidance. Determine whether Snapdragon 685 is supported, what conversion path applies, and whether the resulting model runs on Android. Done means the documentation clearly answers this scenario or identifies the required support gap.

Written by the indexing model from the issue text.

Assessment

Tech stack
android
Domain
documentation, machine-learning, mobile-dev
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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