cumulative(x_t | x_0 = C_{k-1\})`}
		wrap={false}
	/>
  Calculates the log probabilities of the rows from the (cumulative or non-cumulative) transition matrix for each
latent pixel in x_t.  q_posterior  < source > ( log_p_x_0 x_t t  ) → torch.FloatTensor of shape (batch size, num classes, num latent pixels)  Parameters   log_p_x_0 (torch.FloatTensor of shape (batch size, num classes - 1, num latent pixels)) —
The log probabilities for the predi