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fixed batch size #5
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Hi, thanks for your question. |
Thanks for your reply @swami1995 . I will make my question more specific. In the paper, you substitute the random noise z with a mixture of Gaussian distributions, and you set the number of the distribution to N, which is the batch size. So if I want to generate 2N samples at a time, it will not be convenient. What I mean is that in your implementation, the batch size have to be fixed during training phase, not like some other network, which the batch size can be set to None. |
Hi, |
if I want to apply deli-GAN's spirits to some other application like conditional GAN , so the batch size have to fixed? I think this is not convenient.
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