[FEA]: Support importing `__c_dlpack_exchange_api__` objects as `StridedMemoryView`

[kkraus14]

Description

Add support for importing objects that implement the __c_dlpack_exchange_api__ protocol as StridedMemoryView objects.

Motivation

The __c_dlpack_exchange_api__ protocol provides a C-level interface for efficient zero-copy data exchange. Currently, StridedMemoryView supports construction from Python-level protocols (__dlpack__, __cuda_array_interface__, buffer protocol), but does not support the C-level exchange API.

Supporting this protocol would enable:

• More efficient data sharing with libraries that expose the C-level API
• Reduced overhead by avoiding Python-level protocol dispatch
• Better integration with Cython-based libraries that use the C exchange API

Requested Features

• Add a class method or constructor path in StridedMemoryView that can consume objects implementing __c_dlpack_exchange_api__
• Properly handle the DLManagedTensor lifecycle (deleter callback)

Additional Context

• Related to [FEA]: Support exporting StridedMemoryView objects via DLPack #1438 (export support)
• DLPack spec: https://dmlc.github.io/dlpack/latest/

[leofang]

TBH I am not convinced this has any real benefit, mainly because this is a very new and somewhat tailored solution that not many libraries have adopted (ex: we do not offer this in CuPy); for PyTorch, starting v1.0.0 torch.Tensor goes through the tensor bridge (#1894) so this is moot anyway.

In any case, the work was done in #1630 and was shipped in v0.7.0. Closing.