Question about 'one' and 'mone'

[sz128]

I just got confusion about the "one" and "mone" used in "backward()". The goal of discriminator "D" is to maximize the output of netD for real data, but minimize the output of netD for fake data (as I understand it). While "backward" and "optimizerD" are minimizing a loss function. Therefore, I think "errD_real.backward(one)" should be "errD_real.backward(mone)", and "errD_fake.backward(mone)" should be "errD_fake.backward(one)". That is my opinion. Could you give some explanations? Thank you!

[darid]

发自我的 iPhone

在 2017年5月7日，07:35，sz128 notifications@github.com 写道：

I just got confusion about the "one" and "mone" used in "backward()". The goal of discriminator "D" is to maximize the output of netD for real data, but minimize the output of netD for fake data (as I understand it). While "backward" and "optimizerD" are minimizing a loss function. Therefore, I think "errD_real.backward(one)" should be "errD_real.backward(mone)", and "errD_fake.backward(mone)" should be "errD_fake.backward(one)". That is my opinion. Could you give some explanations? Thank you!

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[XavierLinNow]

hi, @sz128 . I have the same questions. Have you figured it out?

[martinarjovsky]

See https://github.com/martinarjovsky/WassersteinGAN/issues/9

[XavierLinNow]

@martinarjovsky , thanks!