Qualcomm AI Engine Direct - Resolved RMSNorm issue without weight

[shewu-quic]

Summary

• Added a test case for torch.nn.RMSNorm([4], elementwise_affine=False).
• Verified whether weight exists in the op builder.
  • Used an all-ones weight tensor for identity scaling if no weight is present.
• Fix htp_rules.py RmsNorm annotator to skip weight annotation when weight is absent.

Test plan

• FloatingPoint RMSNorm unit test

python3 backends/qualcomm/tests/test_qnn_delegate.py TestQNNFloatingPointOperator.test_qnn_backend_rms_norm  -b build-android/ -H ${HOST} -s ${SERIAL}  -m SM8750 -r /path/to/executorch -a /path/to/artifacts

• Quantized RMSNorm unit test

python3 backends/qualcomm/tests/test_qnn_delegate.py TestQNNQuantizedOperator.test_qnn_backend_rms_norm  -b build-android/ -H ${HOST} -s ${SERIAL}  -m SM8750 -r /path/to/executorch -a /path/to/artifacts

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18219

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❌ 2 New Failures

As of commit 4dac95e with merge base a81ef44 ():

NEW FAILURES - The following jobs have failed:

• pull / android / run-emulator (gh)
  The process '/usr/local/lib/android/sdk/platform-tools/adb' failed with exit code 224
• pull / unittest / linux / linux-job (gh)
  backends/xnnpack/test/ops/test_conv2d.py::TestConv2d::test_qs8_conv2d_bn

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[shewu-quic]

Hi @cccclai, @abhinaykukkadapu,

This PR addresses the issue regarding RMSNorm without weight reported by a Discord user.
Could you please review it?

Thanks,
Hutton

[abhinaykukkadapu]

Looks great, thanks for fixing this.