Unable to connect trained layers VAE in autoencoderdual.py for loaded h5 model

[rsyamil]

LSI architecture can also utilize VAEs, see autoencoderdual.py. When LSI is trained and the computation graphs are active, we can get m2zm and d2zd but when model is loaded, and m2zm/d2zd need to be assembled from the loaded h5 models. An error associated with the sampling (lambda) layer is thrown.

Run qc-demo.ipynb to replicate the error, use LSI.train_autoencoder_dual_var() and set load=False.