dpnp.conjugate

dpnp.conjugate(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

Returns the complex conjugate for each element \(x_i\) of the input array x.

For full documentation refer to numpy.conj.

Parameters:

• x ({dpnp.ndarray, usm_ndarray}) -- Input array, may have any data type.

• out ({None, dpnp.ndarray, usm_ndarray}, optional) --

  Output array to populate. Array must have the correct shape and the expected data type.

  Default: None.

• order ({None, "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 conjugate values.

Return type:

dpnp.ndarray

Limitations

Parameters where and subok are supported with their default values. Otherwise NotImplementedError exception will be raised.

Examples

>>> import dpnp as np
>>> np.conj(np.array(1+2j))
(1-2j)

>>> x = np.eye(2) + 1j * np.eye(2)
>>> np.conj(x)
array([[ 1.-1.j,  0.-0.j],
       [ 0.-0.j,  1.-1.j]])