dpnp.left_shift

dpnp.left_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 left by appending x2_i (i.e., the respective element in the input array x2) zeros to the right of x1_i.

For full documentation refer to numpy.left_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.right_shift

Shift the bits of an integer to the right.

Examples

>>> import dpnp as np
>>> x1 = np.array([5])
>>> x2 = np.array([1, 2, 3])
>>> np.left_shift(x1, x2)
array([10, 20, 40])

The << operator can be used as a shorthand for left_shift on dpnp.ndarray.

>>> x1 << x2
array([10, 20, 40])