def METHOD_NAME(self, loss: Tensor):
    """Start backward propagation given the loss value computed by a loss function.
    Args:
        loss (:class:`torch.Tensor`): Loss value computed by a loss function.
    """
    ret = self.optimizer.METHOD_NAME(loss)
    for ophook in self._ophook_list:
        ophook.post_iter()
    return ret