NXP backend: Add QAT tests for AvgPool, MaxPool and Mul tensor ops

[roman-janik-nxp]

Summary

Add QAT tests for AvgPool, MaxPool and Mul tensor ops for Neutron backend using the new Neutron MLIR flow.

Test plan

Unit tests provided.

cc @robert-kalmar

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19572

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❌ 2 New Failures, 1 Cancelled Job

As of commit 1ef312e with merge base 5b89d23 ():

NEW FAILURES - The following jobs have failed:

• pull / test-vulkan-operators-linux / linux-job (gh)
  RuntimeError: Command docker exec -t 659062712bf243ad33550410b0852932a9a8ea4920efe573cad5844710efa138 /exec failed with exit code 1
• pull / unittest-editable / macos / macos-job (gh)
  RuntimeError: Command bash /Users/ec2-user/runner/_work/_temp/exec_script failed with exit code 1

CANCELLED JOB - The following job was cancelled. Please retry:

• Test CoreML Backend / test-coreml / test-backend-macos (coreml, models) / macos-job (gh)
  ##[error]The operation was canceled.

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[MartinPavella]

Just out of curiosity, why did you use the NumericalStatsOutputComparator for the QAT tests?

[roman-janik-nxp]

I was inspired by our internal tests where we use it.

[roman-janik-nxp]

The failing checks seem unrelated and the internal build is passing. Merging.