Hi All,
I am currently trying to find a way to connect two seq2seq models together in a way that the output of one is the input to another deep neural model.
Both models are pre-trained. However, each of the neural models are implemented in different frameworks using different libraries. Is there a way to optimize the models that are implemented in different workspaces together?
In other words, to use the loss calculated in the second network in addition to update the parameters of the first network.
I would appreciate any help. Thank you!