dpnp.absolute

dpnp.absolute(x, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)[source]

Calculate the absolute value element-wise.

For full documentation refer to numpy.absolute.

Returns:: out – An array containing the absolute value of each element in x.
Return type:: dpnp.ndarray

Limitations

Parameters x is only supported as either dpnp.ndarray or dpctl.tensor.usm_ndarray. Parameters out, where, dtype and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise the function will be executed sequentially on CPU. Input array data types are limited by supported DPNP Data types.

See also

dpnp.fabs: Calculate the absolute value element-wise excluding complex types.

Notes

dpnp.abs is a shorthand for this function.

Examples

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

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