Does the implementation satisfy the causailty constraint?

Hi, 

The idea behind autoregressive modeling (pixelcnn, pixelcnn++,...) is that pixels are generated sequentially depending on the previous pixels. it is so called causality constraint. 

with up and down sampling, i think the constraint is not satisfied.

It could be because of up and downsampling layers in your network.

Please correct me if I am wrong. 


