Unable to get inception score for cifar-10 when compared to the original paper about acgan-pytorch HOT 5 OPEN

Hey euwren, were you able to find a fix to reproduce the correct inception score on cifar10?

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euwern， do you deal with the problem??

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I am unable to reproduce the correct inception score.

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@euwern I can't get to 8.25 either. Did you ever do the hyper parameter search they mention in the paper? i.e. "Performing a grid search across 27 hyperparameter configurations" where those were: "generator_learning_rate, discriminator_learning_rate, and discriminator_activation_noise_standard_deviation, for which we used values of [0, 0.0001, 0.0002], [0, 0.0001, 0.0002] and [0, 0.1, 0.2]."
In the code here the first two are set to 0.0002 and I think the last is 0 since I don't see any noise added to activations in the code. Let me know. I can't get above 5 IS using this code with the openai tensorflow IS code with achieves 11.23 on the real CIFAR10 data.

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p.s. @euwern Actually after ensuring the GAN produced image is between 0,1 and then saving, I can get the IS to 6.2. Still quite a bit below the reported number though. But in line with the non-conditional GAN IS for such a network reported elsewhere see table 2

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