def __repr__(self):
        return "<Requirement(package={package}, version='{version}')>".format(
            package=self.package, version=self.version)
def get_target_input(module, input, output):
    """A forward hook which saves the tensor - attached to its graph.
    Used if we want to explain the interim outputs of a model
    """
    try:
        del module.target_input
    except AttributeError:
        pass
    setattr(module, 'target_input', input)