cupy.r

cupy.r_ = <cupy.indexing.generate.RClass object>

Translates slice objects to concatenation along the first axis.

This is a simple way to build up arrays quickly. If the index expression contains comma separated arrays, then stack them along their first axis.

This object can build up from normal CuPy arrays. Therefore, the other objects (e.g. writing strings like ‘2,3,4’, or using imaginary numbers like [1,2,3j], or using string integers like ‘-1’) are not implemented yet compared with NumPy.

This implementation is partially borrowed from NumPy’s one.

Parameters:a function, so takes no parameters (Not) – Returns:Joined array. Return type:cupy.ndarray

See also

numpy.r_()

Examples

>>> a = cupy.array([1, 2, 3], dtype=np.int32)
>>> b = cupy.array([4, 5, 6], dtype=np.int32)
>>> cupy.r_[a, 0, 0, b]
array([1, 2, 3, 0, 0, 4, 5, 6], dtype=int32)