model.py 文件源码

def get_cost(self, data_iterator):
        ret = 0
        old_mode = self.mode
        self.set_mode('predict')
        data_iterator.begin(do_shuffle=False)
        while True:
            ret += self.cost_func(*(data_iterator.get_batch()))
            data_iterator.next()
            if data_iterator.no_batch_left():
                break
        self.set_mode(old_mode)
        return ret / data_iterator.total()