add Phi3 in transformers module and cache utils

[itruonghai]

What does this PR do?

This PR introduces the Phi3 model into the MindONE transformers, enhancing the framework's capabilities with advanced caching utilities. Corresponding tests have been added under tests/transformers_tests/models to ensure the integrity and performance of the implementation.

Performance Metrics:

The table below summarizes the test results for Phi3 across different numeric formats and execution modes, which passed the threshold for each data type:

Mode	FP32 (≤ 5e-4)	FP16 (≤ 5e-3)	BF16 (≤ 5e-3)
GRAPH MODE	1.33e-7	8.73e-5	0.0046
PYNATIVE MODE	1.37e-7	8.73e-5	0.0046

These results validate the functionality and efficiency of the Phi3 integration, maintaining precise computational outputs across varied data types.

Fixes # (issue)

Adds # (feature)

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

[CaitinZhao]

add st in mindone/tests/transformers_tests

[itruonghai]

I updated the performance results, running with tests/transformers_tests/models/phi3/test_modeling_phi3.py