Qualcomm AI Engine Direct - CI test Adjustment

[winskuo-quic]

User description

Summary

Following changes are done to test_qnn_delegate.py
1. Skip dynamic shapes UT as it is failing after QNN 2.45.
2. Lower SQNR score to pass internal CI. This regression is not caused
by ExecuTorch but the torch version upgrage from torch==2.11.0 → torch==2.12.0.
This is detected with Claude using binary search for commits and we found that SQNR score is dropping due to torch update.

   Following is the SQNR score before and after the torch update.
   Bad: d66a37c3f709c48f397f03f1e8b8ba80be8e4d62
   SQNR Eval Score between FP32 nn.Module and QNN: 7.307226181030273
   SQNR Eval Score between CPU QDQ and QNN: 12.351027488708496
     
   Good: 10c8958bd5a8910a1ab49ae9ef2f1f529eba1e2d
   SQNR Eval Score between FP32 nn.Module and QNN: 8.778093338012695
   SQNR Eval Score between CPU QDQ and QNN: 13.889842987060547

Test plan

Passing internal CI

cc @cccclai @cbilgin @abhinaykukkadapu

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20013

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❌ 2 New Failures

As of commit 77fcad6 with merge base 56ad81b ():

NEW FAILURES - The following jobs have failed:

• Cadence Build & Test / hifi-build / hifi4 (gh)
  Input required and not supplied: aws-region
• Cadence Build & Test / vision-build / vision (gh)
  Input required and not supplied: aws-region

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[psiddh]

Pls fix Lint / lintrunner (pull_request)Failing after 1m

[psiddh]

@winskuo-quic can you fix the linter and we can land this PR

[winskuo-quic]

@winskuo-quic can you fix the linter and we can land this PR

It is done now. Thanks for the reminder.