Should cp.ndarray.__getitem__(some_object) check to see if some_object implements __cuda_array_interface__ or DLPack? #8352
Description
Description
Currently, if you do
cupy_array[some_iterable]CuPy will interrogate some_iterable to see if it implements __array_struct__, __array_interface__, __array__ (in that order) before concluding that some_iterable is not an array and proceed to iterate over it as a Python object.
The Interoperability documentation says that CuPy produces (for Numba) and consumes (from PyTorch) the __cuda_array_interface__ protocol, as well as DLPack. But if some_iterable produces either or both of these protocols, CuPy does not check.
Should it? Is this a feature request or a bug report?
Additional Information
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