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

Before Change

        Load session from checkpoint
        
        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

            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):
        // Determine dimensions

Instances