Hi!, I’ve noticed that here 1 (in Chainer GAN lib) they use 1008 out classes while
in implementation provided by pytorch team used here 1, you use 1000 output classes. Messing around with comparing Inception scores I found that numbers do not match. I want to make some comparative study between models in their repo and mine (in pytorch). What would you suggest to do? By now I see the only way in somehow adopting chainer model, but I’d like to aviod it.