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how do you get observed=1000 and 50000 in PriorLoss and NoiseLoss in bayes.py? #4

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ShellingFord221 opened this issue Apr 21, 2021 · 1 comment

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@ShellingFord221
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ShellingFord221 commented Apr 21, 2021

Hi, how do you get observed=1000 for generator and observed=50000 for discriminator in PriorLoss and NoiseLoss in bayes.py? Thanks!

@lxt3
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lxt3 commented Aug 11, 2024

The 50000 appears to be the dataset size of the CIFAR10 dataset. This was what was used as a divisor for the prior loss and noise loss in the original tensorflow code (original Bayesian GAN paper). However, I don't understand the observed=1000 for the gprior and gnoise.

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