Sam2 test

[zyd-ustc]

What does this PR do?

Adds
1.Test code for Sam2

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you read the contributor guideline?
• Did you make sure to update the documentation with your changes? E.g. record bug fixes or new features in What's New. Here are the
  documentation guidelines
• Did you build and run the code without any errors?
• Did you report the running environment (NPU type/MS version) and performance in the doc? (better record it for data loading, model inference, or training tasks)
• Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

@xxx

[gemini-code-assist]

Summary of Changes

Hello @zyd-ustc, 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 integrates testing for the Sam2 model into the project's test suite. It establishes a robust testing framework for various components of Sam2, such as the prompt encoder and mask decoder, and includes cross-framework comparisons to validate the MindSpore implementation against its PyTorch counterpart. The primary goal is to ensure the functional correctness and numerical stability of the Sam2 model within the MindSpore ecosystem.

Highlights

• New Test Files: Introduced new test files for the Sam2 model, specifically tests/transformers_tests/models/sam2/__init__.py and tests/transformers_tests/models/sam2/test_modeling_sam2.py.
• Sam2 Model Testing: Added comprehensive test cases for the Sam2 model, including its Prompt Encoder, Mask Decoder, and the overall model, ensuring compatibility and correctness within the MindSpore framework.
• Cross-Framework Comparison: Implemented tests that compare the outputs of MindSpore and PyTorch implementations of the Sam2 model, verifying numerical consistency across different data types (fp32, fp16, bf16) and execution modes.

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[gemini-code-assist]

Code Review

This pull request adds test code for the Sam2 model. My review has identified several critical issues that would prevent the tests from running correctly. These include a TypeError during the test model's instantiation due to a missing argument, and a NameError from using an undefined function. Additionally, there are some latent bugs in helper classes that could cause AttributeErrors in the future. I have also included a suggestion to improve code style and readability. Addressing these points will ensure the tests are robust and maintainable.