问题：
I was looking for alternative ways to save a trained model in PyTorch.我一直在寻找在 PyTorch 中保存训练模型的替代方法。 So far, I have found two alternatives.到目前为止，我找到了两种选择。
- torch.save() to save a model and torch.load() to load a model. torch.save()保存模型， torch.load()加载模型。
- model.state_dict() to save a trained model andmodel.load_state_dict() to load the saved model. model.state_dict()保存训练好的模型，model.load_state_dict()加载保存的模型。
I have come across to thisdiscussion where approach 2 is recommended over approach 1.我遇到过这个讨论，建议方法 2 优于方法 1。
My question is, why the second approach is preferred?我的问题是，为什么首选第二种方法？ Is it only because torch.nn modules have those two function and we are encouraged to use them?仅仅是因为torch.nn模块具有这两个功能并且我们被鼓励使用它们吗？
解决方案：
参考一： https://en.stackoom.com/question/2tB88参考二： https://stackoom.com/question/2tB88