ll self.save(sess, self.conf.dl_steps) to save the final model. During prediction (get_pred_fn), you can restore the latest model by calling self.create_saver() after creating the network but before creating a session, and then calling self.restore(sess). In most cases, if you use self.create_saver(), then you don't need to override get_pred_fn().<p>

        <p>If you want to use your own saver, the train function should save models to self.conf.cachedir every self.conf.save_step. Also save a final model a