Adding test for CadenceWith16BitConvActivationsQuantizer

[RahulC7]

Summary:
Add annotation tests for CadenceWith16BitConvActivationsQuantizer covering both conv1d and conv2d operations.

https://www.internalfb.com/code/fbsource/[01c566b03c670b1869136cbb64f25d16d730c8d4]/fbcode/executorch/backends/cadence/aot/quantizer/quantizer.py?lines=384-396

Reviewed By: hsharma35

Differential Revision: D88895865

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16205

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✅ You can merge normally! (2 Unrelated Failures)

As of commit e4b02ec with merge base 050e2ee ():

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• Test CUDA Builds / test-models-cuda (add) / linux-job (gh) (detected as infra flaky with no log or failing log classifier)

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

• pull / android / run-emulator (gh) (#16137)
  Timeout waiting for emulator to boot.

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[meta-codesync]

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[Copilot]

Pull request overview

This PR adds comprehensive test coverage for CadenceWith16BitConvActivationsQuantizer, which was previously in the excluded quantizers list. The implementation validates that the quantizer correctly annotates both conv1d and conv2d operations with 16-bit activation quantization specs.

Key Changes:

• Removed CadenceWith16BitConvActivationsQuantizer from the exclusion list
• Added parameterized test cases for both conv1d and conv2d operations
• Implemented graph builder helper methods following established patterns

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[Copilot]

Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated no new comments.

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