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infogan's Issues

Label in CIFAR-10

Hi,
In your code of CIFAR-10, did you use the label information of data (I'm not sure if I understand right, I am not good at Torch)? If yes, did you try with random labels to train a infoGAN in CIFAR-10?

reproduce results by MNIST_GAN.ipynb

HI, I followed the exactly same code for this notebook, the only difference is that I was not running with ipython notebook so I didn't use tqdm. I couldn't get the same results, actually loss_q didn't seem to backpropagate. loss_q is always around 2.452557 instead of the results in the notebook code. Also the out_gen gives the same results for all the epochs. I am new to pytorch, but I tried to look into this but have not fixed it yet..

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