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when training “the loss_d_real is negative value ” is OK？ and why #114

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talengu opened this issue May 31, 2020 · 0 comments

talengu commented May 31, 2020 •

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The result is amazing! I have two questions about loss.

But I have a question that the three loss below will influence each other？some positive some negative.

“self._loss_d_real + self._loss_d_cond + self._loss_d_fake”

when I am training “loss_d_real is negative value” is right" and why

self._loss_d_real = self._compute_loss_D(d_real_img_prob, True) * self._opt.lambda_D_prob

def _compute_loss_D(self, estim, is_real):
        return -torch.mean(estim) if is_real else torch.mean(estim)

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