updater_LSGAN.py 文件源码

def loss_dis(self, dis, y_fake, y_real):
        batchsize = len(y_fake)
        L1 = 0.5 * (F.sum((y_real - self.b) ** 2)) / batchsize
        L2 = 0.5 * (F.sum((y_fake - self.a) ** 2)) / batchsize
        loss = L1 + L2
        chainer.report({'loss': loss}, dis)
        return loss