[CI][Enhancement] Add Pytest in MultiHeadAttention and GroupQueryAttention unit test

[RMLYC]

Description

Type of Change

• Infrastructure/CI

Checklist

• I have run pre-commit run --all-files and fixed all linting issues.
• I have verified that my changes pass local unit tests.

[gemini-code-assist]

Summary of Changes

Hello @RMLYC, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the unit testing framework for MultiHeadAttention and GroupQueryAttention operations by integrating Pytest's parameterization capabilities. This allows for more comprehensive and flexible testing across various configurations and data types, improving the robustness of these critical components and streamlining the testing process.

Highlights

• Pytest Parameterization for GroupQueryAttention (GQA): The unit tests for GroupQueryAttention's forward (test_gqa_fwd) and backward (test_gqa_bwd) passes in tests/ops/test_gqa.py have been refactored to utilize pytest.mark.parametrize. This allows for running the same test function with multiple sets of input parameters, significantly expanding test coverage with concise code.
• Pytest Parameterization for MultiHeadAttention (MHA): Similarly, the forward (test_mha_fwd) and backward (test_mha_bwd) unit tests for MultiHeadAttention in tests/ops/test_mha.py now leverage pytest.mark.parametrize. This introduces new test configurations, including different batch sizes, sequence lengths, head counts, dimensions, causality settings, and data types (float16, bfloat16).
• Enhanced Test Logging in MHA: Print statements within the MHA tests (test_mha_fwd and test_mha_bwd) have been updated to output the specific parameters for each test run. This provides clearer context and aids in debugging when tests are executed.
• Removal of Benchmarking Calls in MHA Tests: The explicit benchmark.profile calls have been removed from the MHA unit test functions (test_mha_fwd and test_mha_bwd). This change streamlines the unit test execution, focusing solely on correctness rather than performance profiling within these specific tests.

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[gemini-code-assist]

Code Review

This pull request is a great enhancement, introducing pytest to the unit tests for MultiHeadAttention and GroupQueryAttention, which will improve the testing structure and CI process. The use of pytest.mark.parametrize makes the tests cleaner and easier to extend.

I've noticed one inconsistency: the benchmark.profile() calls have been removed from tests/ops/test_mha.py, which is good for speeding up unit tests, but they remain in tests/ops/test_gqa.py. It would be best to remove them from test_gqa.py as well for consistency.

I have also left a few specific comments in tests/ops/test_mha.py regarding missing type hints and test case coverage. Addressing these will improve code quality and maintainability.