updater.py 文件源码

def loss_dec(self, dec, x_out, t_out, y_out, lam1=100, lam2=1):
        batchsize,_,w,h = y_out.data.shape
        loss_rec = lam1*(F.mean_absolute_error(x_out, t_out))
        loss_adv = lam2*F.sum(F.softplus(-y_out)) / batchsize / w / h
        loss = loss_rec + loss_adv
        chainer.report({'loss': loss}, dec)
        return loss