Potential bug in gradient accumulation? - #9
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For the gradient accumulation case, fix Discriminator regularization to use a different batch of real images every round.
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@tkarras will the accumulation bug be addressed? |
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While I believe that might be a bug, I tested the difference between with and without loading new data and they were quite small so probably that doesn't affect things significantly. It also doesn't affect the performance at all for the case of using multi-gpu because than there's anyway only one round. |
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fixed encoder
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For the gradient accumulation case, currently the regularization for the discriminator performs multiple rounds on the same batch of images, instead of averaging the regularization loss over multiple different batches (as is done for the standard discriminator loss).
Is this a bug or is it arranged this way intentionally?
Thanks!