dpnp.reciprocal

dpnp.reciprocal = <DPNPUnaryFunc 'reciprocal'>

Computes the reciprocal 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 floating-point data type.

out{None, dpnp.ndarray, usm_ndarray, tuple of ndarray}, optional

Output array to populate. Array must have the correct shape and the expected data type. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

Default: None.

order{None, "C", "F", "A", "K"}, optional

Memory layout of the newly output array, if parameter out is None.

Default: "K".

Returns:

outdpnp.ndarray

An array containing the element-wise reciprocals. The returned array has a floating-point data type determined by the Type Promotion Rules.

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

Calculate \(\frac{1}{\sqrt{x}}\), element-wise.

Notes

This function is equivalent to \(\frac{1}{x}\), element-wise.

Examples

>>> import dpnp as np
>>> x = np.array([1, 2., 3.33])
>>> np.reciprocal(x)
array([1.0, 0.5, 0.3003003])