train1_unsupervised.py 文件源码

def loss_gen(self, gen, G_out, gt, batchsize, alpha=1):
        xp = self.gen.xp
        loss_L = F.mean_squared_error(G_out, gt) * G_out.data.size
        loss = loss_L
        chainer.report({'loss': loss, "loss_L": loss_L}, gen)
        return loss