human
What is a the Python code you requested given the following:
Complete the below
def forget(func, *xs):

    ''''Call a function without storing internal results.
    On a forward propagation Chainer stores all internal results of
    :class:`Function` on a computational graph as they are required on
    backward-propagation. These results consume too much memory when the
    internal results are too large. This method **forgets** such internal
    results on forward propagation, and still supports back-propagation with
    recalculation.
    In a forward propagation, this method calls a given function with given
    variables without creating a computational graph. That means, no internal
    results are stored. In a backward propagation this method calls the given
    function again to create a computational graph to execute back-propagation.
    This method reduces internal memory usage. Instead it requires more
    calculation time as it calls the function twice.
    .. admonition:: Example
    Let ``f`` be a function defined as:
    >>> def f(a, b):
    ...   return a + b + a
    and, ``x`` and ``y`` be :class:`~chainer.Variable`:
    >>> x = chainer.Variable(np.random.uniform(-1, 1, 5).astype(\'f\'))
    >>> y = chainer.Variable(np.random.uniform(-1, 1, 5).astype(\'f\'))
    When ``z`` is calculated as ``z = f(x, y)``, its internal result
    ``x + y`` is stored in memory. Instead if you call ``f`` with
    :meth:`forget`:
    >>> z = F.forget(f, x, y)
    internal ``x + y`` is forgotten.
    .. note::
    The method does not support functions behaving randomly, such as
    :meth:`~chainer.functions.dropout` and
    :meth:`~chainer.functions.negative_sampling`. It is because first results
    of these function differ from the second one.
    Args:
    func (callable): A function to call. It needs to be called with
    :class:`~chainer.Variable` object(s) and to return a
    :class:`~chainer.Variable` object or a tuple of
    :class:`~chainer.Variable` objects.
    xs (~chainer.Variable): Argument variables of the function.
    Returns:
    ~chainer.Variable: A variable ``func`` returns. If it returns a tuple,
   ...'''
assistant
#Here is the Python code you requested.
    return Forget(func)(*xs)