dpnp.rsqrt¶

dpnp.rsqrt = <DPNPUnaryFunc 'rsqrt'>¶

Computes the reciprocal square-root for each element \(x_i\) for input array x.

Parameters:

x{dpnp.ndarray, usm_ndarray}

Input array, expected to have a real-valued 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 reciprocal square-roots. 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.sqrt: Calculate \(\sqrt{x}\), element-wise.
dpnp.reciprocal: Calculate \(\frac{1}{x}\), element-wise.

Notes

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

Examples

>>> import dpnp as np
>>> x = np.array([1, 8, 27])
>>> np.rsqrt(x)
array([1.        , 0.35355338, 0.19245009])