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[API] Extend NumPy Array dtypes with int16, uint16, uint32, uint64 #20478
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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()
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