Accept NumPy arrays in advanced indexing

[ndgrigorian]

This PR proposes allowing NumPy arrays when indexing usm_ndarray

This can be useful where attempting to use usm_ndarray in a library which generates indices with NumPy, and which expects to only handle devices implicitly through tensor operations (i.e., a library which can take an arbitrary tensor input, but generates indices with numpy.random and expects these indices to work on the input tensor)

Both boolean and integer advanced indices can accept NumPy arrays with these changes

Closes #2053

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[github-actions]

Deleted rendered PR docs from intelpython.github.com/dpctl, latest should be updated shortly. 🤞

[github-actions]

Array API standard conformance tests for dpctl=0.21.0dev0=py310h93fe807_79 ran successfully.
Passed: 1115
Failed: 6
Skipped: 119

[coveralls]

coverage: 85.894% (+0.01%) from 85.882%
when pulling 532c11e on allow-numpy-arrays-indexing
into 0dbd495 on master.

[github-actions]

Array API standard conformance tests for dpctl=0.21.0dev0=py310h93fe807_81 ran successfully.
Passed: 1115
Failed: 6
Skipped: 119

[github-actions]

Array API standard conformance tests for dpctl=0.21.0dev0=py310h93fe807_83 ran successfully.
Passed: 1113
Failed: 8
Skipped: 119

[antonwolfy]

@ndgrigorian , no more comments from me.
I run the dpnp tests with that change and they passed.