dpnp.abs

dpnp.abs = <DPNPUnaryFunc 'abs'>

Calculates the absolute value for each element \(x_i\) of input array x.

For full documentation refer to numpy.absolute.

Parameters:

x{dpnp.ndarray, usm_ndarray}

Input array, may have any 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 absolute values. For complex input, the absolute value is its magnitude. If x has a real-valued data type, the returned array has the same data type as x. If x has a complex floating-point data type, the returned array has a real-valued floating-point data type whose precision matches the precision of x.

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.fabs

Calculate the absolute value element-wise excluding complex types.

Notes

dpnp.absolute is an equivalent function.

Examples

>>> import dpnp as np
>>> a = np.array([-1.2, 1.2])
>>> np.abs(a)
array([1.2, 1.2])

>>> a = np.array(1.2 + 1j)
>>> np.abs(a)
array(1.5620499351813308)