Qualcomm AI Engine Direct - Adding QNN backend support for the isNan core ATen op

[qti-horodnic]

Summary

Added support for the isNan core ATen op using the existing QNN backend implementation. Note that only FP32 and FP16 input data types are supported.

Test plan

python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNFloatingPointOperator.test_qnn_backend_is_nan --model SM8750 --host aisw-vm19-labsd --device b3bf37fe --build_folder build-android

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/17941

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❌ 50 New Failures, 6 Unrelated Failures

As of commit e747472 with merge base aa2f683 ():

NEW FAILURES - The following jobs have failed:

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FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

• pull / test-moshi-linux / linux-job (gh) (matched linux rule in flaky-rules.json)
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• Test CUDA Builds / test-executorch-cuda-build-12.6 / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
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• Test CUDA Builds / test-models-cuda (add) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)
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• Test CUDA Builds / unittest-cuda / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

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[qti-horodnic]

@pytorchbot label "release notes: qualcomm"