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training questions #9
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We return class labels together with images in dataset and send different parts into the corresponding loss function. e.g. real part: images[class ==0], fake part: images[class ==1] |
Hello! Can you provide the training code? |
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Hello!
Thanks for your inspiring work. And I 'm very intersted in it,Among them, there is a little doubt in the training,How is batchsize set during training? After tampering and non-tampering images are shuffled in the dataloader, the loss function used by the images in batch will be different. My training setting, when the batchsize is 8, I don’t know how to calculate the loss,Is it to traverse or set batchsize to 1 or some other method?
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