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Upgrade QNN support to latest version #9806

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RemonComputer opened this issue Apr 1, 2025 · 1 comment
Open

Upgrade QNN support to latest version #9806

RemonComputer opened this issue Apr 1, 2025 · 1 comment
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@cccclai
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module: qnn Issues related to Qualcomm's QNN delegate and code under backends/qualcomm/ partner: qualcomm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Qualcomm triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@RemonComputer
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RemonComputer commented Apr 1, 2025 •
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📚 The doc issue

  • I have installed executorch from source.
  • my latest commit is 97bca05
  • I have tried the tutorial from here
  • I was to compile executorch and get the tutorial working with Qualcomm Neural processing SDK version 2.31.0.250130
  • You can obtain this version from Qualcomm AI hub

Suggest a potential alternative/fix

I suggest adding a comment that this tutorial works with the mentioned SDK so that other people who want to try the latest optimizations and supported ops by Qualcomm can use them.

cc @cccclai @winskuo-quic @shewu-quic @cbilgin
@RemonComputer
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I am also using android-ndk-r27c-linux, while the tutorial states android-ndk-26, so this requirement also can be updated

@github-actions github-actions bot mentioned this issue Apr 14, 2025
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@GregoryComer GregoryComer added triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module module: qnn Issues related to Qualcomm's QNN delegate and code under backends/qualcomm/ labels Apr 14, 2025
@cccclai cccclai added the partner: qualcomm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Qualcomm label Apr 14, 2025
@github-actions github-actions bot mentioned this issue Apr 21, 2025
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This was referenced Apr 28, 2025
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module: qnn Issues related to Qualcomm's QNN delegate and code under backends/qualcomm/ partner: qualcomm For backend delegation, kernels, demo, etc. from the 3rd-party partner, Qualcomm triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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