[DLPack] Add inline C++ tests for torch DLPack Exchange API protocol

[Kathryn-cat]

As a followup to PR #96, this PR adds comprehensive unit tests for torch.Tensor.__c_dlpack_exchange_api__ using inline C++. It validates PyTorch's implementation of the DLPackExchangeAPI struct-based fast exchange protocol.

Unlike the ctypes-based tests, these tests use torch.utils.cpp_extension.load_inline to avoid GIL release issues
when calling THPVariable_Wrap.

[Kathryn-cat]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces a comprehensive suite of inline C++ tests for the PyTorch DLPack Exchange API, which is a valuable addition for ensuring the correctness of this low-level protocol. The tests are well-structured and cover various aspects of the API, including versioning, function pointer validity, allocation, and conversions between PyTorch tensors and DLPack tensors. My review focuses on improving code maintainability and consistency within the new test file. I've suggested refactoring the tests to use a pytest fixture to reduce boilerplate code, and pointed out a minor inconsistency in an assertion message.

[Kathryn-cat]

/gemini review

[gemini-code-assist]

Code Review

This pull request adds comprehensive inline C++ unit tests for the torch.Tensor.__c_dlpack_exchange_api__ protocol, which is a great addition for ensuring the robustness of the DLPack exchange mechanism. The tests are well-structured and cover various aspects of the API. I've identified a few potential resource leaks in the C++ test code due to exceptions and suggest using RAII patterns like std::unique_ptr to make the resource management more robust. Overall, this is a valuable contribution.

[Kathryn-cat]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces comprehensive inline C++ tests for the torch.Tensor.__c_dlpack_exchange_api__, which is a great addition for ensuring the correctness of the DLPack exchange protocol implementation. The tests are well-structured, covering various functions of the API. The update in tensor.pxi to use DLPack version constants instead of hardcoded values is also a good improvement for maintainability. I have one suggestion to enhance code consistency within the new C++ test code.