I haven’t done an asynchronous call forward to train multiple neural networks together; if you may provide some insights, that will be much appreciated.
For example, neural network A and B are to be trained together. Then, neural network C takes the outputs from A and B for next step’s training. How may I do that in coding using PyTorch?
Another question, if I use Jupyter Notebook the code is executed sequentially. If I have A.forward and then B.forward. Jupyter Notebook takes A first and takes B after A’s execution is finished. I am not sure how could I do that in Jupyter Notebook.
I have no idea how’s this sequential/parallel/async processing works.