latent pixels)) —
The classes of each latent pixel at time t.   t (torch.Long) —
The timestep that determines which transition matrix is used.   Returns 
torch.FloatTensor of shape (batch size, num classes, num latent pixels)
  
The log probabilities for the predicted classes of the image at timestep t-1.
   Calculates the log probabilities for the predicted classes of the image at timestep t-1:   Copied p(x_{t-1} | x_t) = sum( q(x_t | x_{t-1})