问在ray-rllib中保存算法训练器的模型和检查点。

EN

 @override(Trainable)
def save_checkpoint(self, checkpoint_dir: str) -> str:
    checkpoint_path = os.path.join(
        checkpoint_dir, "checkpoint-{}".format(self.iteration)
    )
    pickle.dump(self.__getstate__(), open(checkpoint_path, "wb"))

    return checkpoint_path

@override(Trainable)
def load_checkpoint(self, checkpoint_path: str) -> None:
    extra_data = pickle.load(open(checkpoint_path, "rb"))
    self.__setstate__(extra_data)