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errG_real is not backpropagated in the training of generator #14

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guxd opened this issue Jan 18, 2018 · 0 comments
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errG_real is not backpropagated in the training of generator #14

guxd opened this issue Jan 18, 2018 · 0 comments

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@guxd
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guxd commented Jan 18, 2018

According to the Algorithm1 in the paper, L_G=errG_real-errG_fake.
However, in your pytorch implementation, only errG_fake is backpropagated.
Why? How does it affect the performance if you backpropagate both?
@guxd guxd closed this as completed Sep 1, 2018
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