log_var_q in gaussian_1 setting

[nimia]

Hi, thank you for a wonderful work!

I'm trying to understand the code and how it relates to the paper.
In https:/sony/sqvae/blob/main/vision/model.py#L62, we have (essentially):
log_var_q = 0
Then, in line 73, we have:
self.param_q = (log_var_q.exp() + self.log_param_q_scalar.exp())
so essentially:
param_q = 1 + e**log_param_q_scalar

Could you please explain what is the purpose of adding 1 to param_q here?
(Is it possible that the intent was to multiply, not add, log_var_q.exp() and self.log_param_q_scalar.exp() in line 73?)

thanks again, this is a wonderful, wonderful paper!
best wishes,
Nimrod