[Test]Add quantization test case

[kunpengW-code]

What this PR does / why we need it?

1. Remove meaningless parameters.

2. Reconstruct the UT directory tests/ut/quantization for quantization features
tests/ut/quantization/
├── conftest_quantization.py
├── methods
│ ├── test_kv_c8.py
│ ├── test_registry.py
│ ├── test_w4a16.py
│ ├── test_w4a4_flatquant.py
│ ├── test_w4a4_laos_dynamic.py
│ ├── test_w4a4_mxfp4.py
│ ├── test_w4a8.py
│ ├── test_w8a16.py
│ ├── test_w8a8_dynamic.py
│ ├── test_w8a8_mxfp8.py
│ ├── test_w8a8_pdmix.py
│ └── test_w8a8_static.py
├── test_compressed_tensors_config.py
├── test_method_adapters.py
├── test_modelslim_config.py
├── test_quant_parser.py
└── test_utils.py

3. Improve the UT coverage for quantization features.

Does this PR introduce any user-facing change?

no

How was this patch tested?

pytest --cov=vllm_ascend.quantization tests/ut/quantization/

• vLLM version: v0.19.0
• vLLM main: vllm-project/vllm@6f786f2

[gemini-code-assist]

Summary of Changes

Hello, 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 focuses on enhancing the test infrastructure for quantization methods. It introduces new test files, reorganizes existing ones for better maintainability, and adds significant test coverage for various quantization schemes and configurations. These changes ensure better reliability and easier verification of quantization logic.

Highlights

• Test Infrastructure Expansion: Added a new configuration file for quantization tests and reorganized existing test files into a dedicated methods directory.
• Test Coverage Improvements: Added comprehensive test cases for quantization schemes, including registry validation, W4A4, W8A8, and MXFP8 methods.
• Code Refactoring: Renamed several test files to better reflect their content and improved test robustness with better mocking and validation.

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[gemini-code-assist]

Code Review

This pull request introduces several enhancements and test coverage improvements for the quantization module, specifically focusing on W8A8, W4A4, and MXFP8 quantization schemes. It adds new test files for registry and configuration management, updates existing tests to use more robust mocking and real module structures, and includes utility functions for quantization parameter parsing and KV cache handling. My feedback highlights that some tests in test_w8a8_static.py rely on MagicMock for nn.Module objects, which can lead to unreliable verification; I recommend using real nn.Module instances to ensure parameter registration and tensor operations are correctly validated.

[gemini-code-assist]

The use of MagicMock for the layer object in these tests (lines 125, 149, 174) makes the verification of parameter registration and tensor computations unreliable.

• At line 125 and 174, dict(layer.named_parameters()) is performed on a mock, which returns an empty dictionary by default, meaning assertNotIn passes for the wrong reason and assertIn should technically fail unless the mock is specifically configured.
• At line 149, asserting that layer.deq_scale is a MagicMock confirms that the test is merely verifying mock interactions rather than the actual quantization logic or tensor values.
  It is highly recommended to use a real nn.Module (similar to the build_layer helper used in other test files) to ensure that parameters are correctly registered and that the mathematical operations produce valid tensors.