[Tests] Reduce redundant ONNX and PyTorch integration tests

[tlopex]

This PR reduces repeated Relax frontend and integration test work while preserving distinct coverage. It reworks ONNX ConvTranspose tests into direct importer checks plus 11 numerical cases covering all ranks, asymmetric padding, grouping, bias, dilation, and output padding. Targeted runtime improves from 17.97s to 3.55s.

• removes duplicate ONNX Pow, unused dynamic Squeeze parameterizations, and irrelevant Resize ROI value permutations.
• consolidates overlapping PyTorch integration tests while preserving symbolic shapes, TIR, I.pyfunc, and packed-function coverage.
• removes the redundant BasePyModule aggregate suite, moves its unique output-only call_tir case into the DLPack test, and removes a DLPack test that swallowed all exceptions.

[gemini-code-assist]

Code Review

This pull request refactors and simplifies several test files in the Relax Python test suite. It removes the redundant test_base_py_module.py file, cleans up unused imports, and consolidates test cases in test_pytorch_integration.py and test_dlpack_integration.py. Additionally, it refactors the ConvTranspose tests in test_frontend_onnx.py into parameterized import and numerical tests, and simplifies the test cases for dynamic squeeze and resize operations. There are no review comments, so I have no feedback to provide.

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