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training a question #7

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1962975362 opened this issue Nov 25, 2020 · 0 comments
Open

training a question #7

1962975362 opened this issue Nov 25, 2020 · 0 comments

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@1962975362
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local predGeneratorLoss = criterion_adv:forward(predFake, 2 * labels_encoded)
local predGeneratorGradOut = criterion_adv:backward(predFake, 2 * labels_encoded)
local predGeneratorGradIn = adversary:backward(payloads_encoded, predGeneratorGradOut, 0)
gradOutput[1] = gradOutput[1] + opt.adversary_gradient_scale * predGeneratorGradIn

I don't know why to train the discriminator to treat the encoded picture as the real picture
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