updater.py 文件源码

def loss_D(self, real_D, fake_D):
        batch_size, _, h, w = real_D.shape

        loss = - F.sum(F.log(real_D + self.eps) + F.log(1 - fake_D + self.eps)) / (batch_size*h*w)
        chainer.report({'loss': loss}, self.D)

        return loss