I have been looking into ways to deploy and use models after they are trained. I originally started machine/deep learning using Keras/Tensorflow, and one of the options with them is the ability to save the model architecture as a .json file and loading the weights into that. Is there any plans on doing something like with with PyTorch? For a lot of use cases, it isn’t ideal to use the same development project to rebuild the model architecture to load the weights into in the deployment use-case.