dpnp.sqrt

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

Computes the positive square-root for each element x_i of input array x.

For full documentation refer to numpy.sqrt.

Parameters:

  • x ({dpnp.ndarray, usm_ndarray}) -- Input array.

  • 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 ({"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 positive square-roots of x. 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. Otherwise NotImplementedError exception will be raised.

See also

dpnp.cbrt

Return the cube-root of an array, element-wise.

dpnp.rsqrt

Return the reciprocal square-root of an array, element-wise.

Examples

>>> import dpnp as np
>>> x = np.array([1, 4, 9])
>>> np.sqrt(x)
array([1., 2., 3.])

>>> x2 = np.array([4, -1, np.inf])
>>> np.sqrt(x2)
array([ 2., nan, inf])