Qualcomm AI Engine Direct - supprot SAR2230P

[haowhsu-quic]

Summary

• add soc SAR2230P

Test plan

cd $EXECUTORCH_ROOT/examples
python qualcomm/scripts/export_example.py --model_name mul --output_folder . --generate_etrecord --soc SAR2230P -q ptq

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15437

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• ROCm failures during provisioning step due to network issues

✅ You can merge normally! (3 Unrelated Failures)

As of commit 3438200 with merge base 487dae0 ():

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pull / test-binary-size-linux-gcc / linux-job (gh) (trunk failure)
  ##[error]The operation was canceled.
• pull / test-openvino-linux / linux-job (gh) (trunk failure)
  ##[error]The operation was canceled.
• pull / test-setup-linux-gcc / linux-job (gh) (trunk failure)
  ##[error]The operation was canceled.

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[haowhsu-quic]

@pytorchbot label "release notes: qualcomm"

[billmguo]

@cccclai can u help review, the similar the PR break lots of test last time not sure whether we need re-export model to unblock the test or not

[cccclai]

Should we bump the qnn version before merging this PR? @billmguo mentioned that it only supports after 2.39

[billmguo]

We can keep qnn bump later since qnn-2.37 is being deployed with multiple products. The challenge parts here is for the v81 support if need custom ops support also need bump up the hexagon to 6.4.0.0, can you have dynamic qnn version support for different products?

[cccclai]

Can you rebase? Let's check CI signal

[cccclai]

import seems still failing, mind rebasing on the latest main?

[meta-codesync]

@cccclai has imported this pull request. If you are a Meta employee, you can view this in D85792854.