human
Complete the below
def _find_input_path(src, dst_predicate):

    ''''Finds an input path from `src` to a node that satisfies `dst_predicate`.
    TensorFlow graphs are directed. We generate paths from outputs to inputs,
    recursively searching both direct (i.e. data) and control inputs. Graphs with
    while_loop control flow may contain cycles. Therefore we eliminate loops
    during the DFS.
    Args:
    src: tf.Tensor or tf.Operation root node.
    dst_predicate: function taking one argument (a node), returning true iff a
    a target node has been found.
    Returns:
    a path from `src` to the first node that satisfies dest_predicate, or the
    empty list otherwise.'
    '''
assistant
#Here is the Python code you requested.
    path_to = {src: None}
    def dfs(x):
        if dst_predicate(x):
            return x
        x_op = _as_op(x)
        for y in (x_op.control_inputs + list(x_op.inputs)):
            if (y not in path_to):
                path_to[y] = x
                res = dfs(y)
                if (res is not None):
                    return res
        return None
    dst = dfs(src)
    path = []
    while (dst in path_to):
        path.append(dst)
        dst = path_to[dst]
    return list(reversed(path))