[API] Extend NumPy Array dtypes with int16, uint16, uint32, uint64

[barry-jin]

Description

As stated in array api standaization, array api should support bool, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float32, float64 data types.

This PR will extend MXNet NumPy array data type with int16, uint16, uint32, uint64, which are not supported in current design. Also, the following array creation functions will also update these data type support:
mx.np.arange, mx.np.empty, mx.np.empty_like, mx.np.eye, mx.np.full, mx.np.full_like, mx.np.ones, mx.np.ones_like
Type cast function:
arr.astype()

Checklist

Essentials

• PR's title starts with a category (e.g. [BUGFIX], [MODEL], [TUTORIAL], [FEATURE], [DOC], etc)
• Changes are complete (i.e. I finished coding on this PR)
• All changes have test coverage
• Code is well-documented

Changes

• Add dtypes: int16, uint16, uint32, uint64
• Update array creation functions
• Add tests
• Update manipulation functions and operators.

Comments

• If this change is a backward incompatible change, why must this change be made.
• Interesting edge cases to note here

[mxnet-bot]

Hey @barry-jin , Thanks for submitting the PR
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