How to combine keras loss with other intermediate output loss using model.add_loss

[Ali Kasim]

I am trying to reproduce COSTA/VAE code to make it run on tf2.x and Keras 2.x rather than 1.x. however, I am facing problem in combining Keras loss (which are tensors) with some intermediate layer outputs (which are KerasTensors).

the error is occured in this line 

gan.add_loss(gan_loss(y_true,y_pred,a,ap,b,bp)) <------ HERE IS THE PROBLEM gan.compile(optimizer=opt, loss=None)

Note: the code works fine if i removed either y_true,y_pred or a,ap,b,bp from the calculation of loss function, but it throws an error if i used them together in the calculation of loss function

the Question: What shall i send for y_true and y_pred as they are implicitly send if we follow the standard form of loss calculation like gan.compile(optimizer=opt, loss=gan_loss)

please have a look at the question with full code posted in stack overflow on this link: 

python - how to combine keras loss with other intermediate output loss using model.add_loss - Stack Overflow

Thanks for bearing this with me

[Lance Norskog]

Added a reply on StackOverflow.

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Lance Norskog
lance....@gmail.com
Redwood City, CA