deep_helmholtz.py 文件源码

def l2_decay(self, rate):
        rec_l2_cost = T.constant(0.).astype(floatX)
        gen_l2_cost = T.constant(0.).astype(floatX)

        for l in xrange(self.n_layers):
            rec_l2_cost += self.posteriors[l].l2_decay(rate)
            gen_l2_cost += self.conditionals[l].l2_decay(rate)

        rval = OrderedDict(
            rec_l2_cost=rec_l2_cost,
            gen_l2_cost=gen_l2_cost,
            cost = rec_l2_cost + gen_l2_cost
        )

        return rval

    # --------------------------------------------------------------------------