model encoder implemented as CNN?

[bhomass]

If I understand correctly, the encoder is there to implement the Variational Inference term for enhancing entropy of the feature space. The latent z variable is represented by diagonal Gaussian.

However, in the model.py code, I see a sequence of CNNs defined. I am not able to make the connection, how you implement this VI using a chain of CNNs?