Incorrect calculation of H(c)?

[zjost]

I'm reference the code here. The mutual information calculation is disc_mi_est = disc_ent - disc_cross_ent. If you reference disc_ent, it is the negative mean of disc_log_q_c, where disc_log_q_c = self.model.reg_disc_latent_dist.logli_prior(disc_reg_z).

However, for Categorical distributions, the logli_prior does not merely use the prior uniform probabilities, but instead something like: SUM_i{x_i * log(p_i)}. Shouldn't it just be SUM_i{p_i * log(p_i}? Put simply, if H(C) is a constant, why is it being passed data? It appears the entropy method would work as expected if it were passed the prior dist_info.