dpnp.reciprocal
- dpnp.reciprocal(x, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)
Computes the reciprocal square-root for each element x_i for input array x.
For full documentation refer to
numpy.reciprocal
.- Parameters:
x ({dpnp.ndarray, usm_ndarray}) -- Input array, expected to have a real-valued floating-point 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 ({"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 reciprocals. The returned array has a floating-point data type 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.rsqrt
Return the reciprocal square-root of an array, element-wise.
Examples
>>> import dpnp as np >>> x = np.array([1, 2., 3.33]) >>> np.reciprocal(x) array([1.0, 0.5, 0.3003003])