dpnp.right_shift

dpnp.right_shift(x1, x2, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Shifts the bits of each element x1_i of the input array x1 to the right according to the respective element x2_i of the input array x2.

For full documentation refer to numpy.right_shift.

Parameters:

  • x1 ({dpnp.ndarray, usm_ndarray}) – First input array, expected to have integer data type.

  • x2 ({dpnp.ndarray, usm_ndarray}) – Second input array, also expected to have integer data type. Each element must be greater than or equal to 0.

  • out ({None, dpnp.ndarray}, optional) – Output array to populate. Array must have the correct shape and the expected data type.

  • order ({"C", "F", "A", "K"}, optional) – Memory layout of the newly output array, if parameter out is None. Default: “K”.

Returns:

out – An array containing the element-wise results. The data type of the returned array is determined by the Type Promotion Rules.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise NotImplementedError exception will be raised.

See also

dpnp.left_shift

Shift the bits of an integer to the left.

Examples

>>> import dpnp as np
>>> x1 = np.array([10])
>>> x2 = np.array([1, 2, 3])
>>> np.right_shift(x1, x2)
array([5, 2, 1])

The >> operator can be used as a shorthand for right_shift on dpnp.ndarray.

>>> x1 >> x2
array([5, 2, 1])