76125cafc9734441b4dab036e345fbb0abf1d84a,deeppavlov/models/ner/ner_network.py,NerNetwork,load,#NerNetwork#,197

Before Change

        saver = tf.train.Saver()
        ckpt = self.get_checkpoint_state()
        if ckpt and ckpt.model_checkpoint_path:
            print("\n:: restoring checkpoint from", ckpt.model_checkpoint_path, "\n")
            saver.restore(self._sess, ckpt.model_checkpoint_path)
            print("session restored")
        else:
            print("\n:: <ERR> checkpoint not found! \n")

After Change

    @overrides
    def load(self):
        if self.load_path:
            if isinstance(self.load_path, Path) and self.load_path.parent.is_dir():
                if tf.train.get_checkpoint_state(self.load_path.parent) is not None:
                    saver = tf.train.Saver()
                    print("Restore NerNetwork model from {}".format(str(self.load_path)))
                    saver.restore(self._sess, str(self.load_path))
                else:
                    warn("Provided `load_path` is incorrect!")
            else:
                warn("Provided `load_path` is incorrect!")
        else:
            warn("No `load_path` is provided for {}".format(self.__class__.__name__))

    def tokens_batch_to_numpy_batch(self, batch_x, batch_y=None):

Instances