Qualcomm AI Engine Direct - Adding QNN backend support for the remainder core ATen ops

[qti-horodnic]

Summary

Added support for the aten ops remainder.Scalar and remainder.Tensor using a decomposition pass via the identity:

remainder(x, y) = x - floor(x / y) * y

Also did a minor refactor for the acos and log_variants unit tests, to combine all cases into a single test similarly to how other op tests were previously implemented.

Test plan

python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNQuantizedOperator.test_qnn_backend_remainder --model SM8750 --host aisw-vm16-labsd --device 4a8bfec7 --build_folder build-android
python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNFloatingPointOperator.test_qnn_backend_remainder --model SM8750 --host aisw-vm16-labsd --device 4a8bfec7 --build_folder build-android

For the refactored acos and log_variants tests:

python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNQuantizedOperator.test_qnn_backend_acos --model SM8750 --host aisw-vm16-labsd --device 4a8bfec7 --build_folder build-android
python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNFloatingPointOperator.test_qnn_backend_acos --model SM8750 --host aisw-vm16-labsd --device 4a8bfec7 --build_folder build-android

python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNQuantizedOperator.test_qnn_backend_log_variants --model SM8750 --host aisw-vm16-labsd --device 4a8bfec7 --build_folder build-android
python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNFloatingPointOperator.test_qnn_backend_log_variants --model SM8750 --host aisw-vm16-labsd --device 4a8bfec7 --build_folder build-android

[qti-horodnic]

@pytorchbot label "release notes: qualcomm"

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18843

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[abhinaykukkadapu]

@qti-horodnic thanks for adding support, wondering if you've tried the skills from @shewu-quic latest PR, curious if we can improve them if you see any gaps.

[qti-horodnic]

@qti-horodnic thanks for adding support, wondering if you've tried the skills from @shewu-quic latest PR, curious if we can improve them if you see any gaps.

Thanks for bringing this up, I have not tried them yet. Let me look into it and I'll follow up