Question for E_step in EM Routing

[zmy1116]

In the function E_step in the method CapsLayer-master/capslayer/core/routing.py

The Gaussian probability is calculated as following:
normalized_vote = cl.divide(tf.square(vote - pose), 2 * tf.exp(log_var))
log_probs = normalized_vote + cl.log(2 * np.pi) + log_var
log_probs = -0.5 * cl.reduce_sum(log_probs, axis=-1, keepdims=True)

since you are pulling out the -0.5 in the third line, in the first line, shoudn't we have tf.exp(log_var)) instead of 2 * tf.exp(log_var))?

Also in the following two lines:
log_activation_logit = log_activation + log_probs
log_activation_logit = log_probs

I think the second line should not be there.

I'm just starting to read about capsule net and I'm trying to match the implementation with the pseudocode in the paper so I could be wrong...