2e530e78c78c3f9f899143c437f55618d3038951,deeppavlov/core/models/tf_model.py,TFModel,load,#TFModel#,116

Before Change

        
        ckpt = self.get_checkpoint_state()
        if ckpt and ckpt.model_checkpoint_path:
            log.info("[restoring checkpoint from {}]".format(ckpt.model_checkpoint_path))
            self._saver().restore(self.sess, ckpt.model_checkpoint_path)
            log.info("session restored")
        else:
            log.error("checkpoint not found!")

After Change

    def load(self):
        Load model parameters from self.load_path
        path = str(self.load_path.resolve())
        // Check presence of the model files
        if tf.train.checkpoint_exists(path):
            print("[loading model from {}]".format(path), file=sys.stderr)
            saver = tf.train.Saver()

Instances