Adding Test for CadenceWith16BitMatmulActivationsQuantizer

[RahulC7]

Summary:
We test the quantizer we added in D87996796 correctly annotates the graph.

We use the graph builder to build the graph with metadata(that's needed for quantizer.annotate to recognize the nodes), and we ensure that the quantization params are as expected.

Reviewed By: hsharma35

Differential Revision: D88053808

[pytorch-bot]

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❌ 1 New Failure, 1 Unrelated Failure

As of commit 9c942f2 with merge base a09a4b7 ():

NEW FAILURE - The following job has failed:

• Lint / lintrunner / linux-job (gh)
  >>> Lint for backends/cadence/aot/tests/test_quantizer_ops.py:

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

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

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[Copilot]

Pull request overview

This PR adds a unit test for the CadenceWith16BitMatmulActivationsQuantizer class that was introduced in D87996796. The test verifies that the quantizer correctly annotates matmul operations with 16-bit activation quantization specifications.

• Adds a new test class QuantizerAnnotationTest with a helper method to build matmul graphs using GraphBuilder
• Tests that the quantizer correctly annotates matmul nodes with A16 (16-bit activation) quantization specs
• Updates TARGETS file to include necessary dependencies for graph building and quantization annotation testing

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
backends/cadence/aot/tests/test_quantizer_ops.py	Adds QuantizerAnnotationTest class with test for 16-bit matmul quantizer annotation verification
backends/cadence/aot/TARGETS	Adds dependencies for graph_builder, pass_base, and torchao required by the new test

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