possibility which is that the model architectures we use for generative adversarial Nets are usually a little bit different VA use usually are conditionally Gaussian and usually have an isotropic Gaussian at the output layer generative adversarial networks don't need to have any particular conditional distribution that you can evaluate so the last layer is often just a linear layer which would look kind of like a Gaussian distribution with a complete covariance matrix instead of a restricted covariance matrix so it's