(self, model_config, checkpoint_path)
return self._create_restore_fn(checkpoint_path, saver)
Builds the inference graph from a configuration object.

    Args:
      model_config: Object containing configuration for building the model.
      checkpoint_path: Checkpoint file or a directory containing a checkpoint
        file.

    Returns:
      restore_fn: A function such that restore_fn(sess) loads model variables
        from the checkpoint file.
Builds the inference graph from a configuration object.
Builds the inference graph from a configuration object .
def build_graph_from_config(self, model_config, checkpoint_path):
    """Builds the inference graph from a configuration object.

    Args:
      model_config: Object containing configuration for building the model.
      checkpoint_path: Checkpoint file or a directory containing a checkpoint
        file.

    Returns:
      restore_fn: A function such that restore_fn(sess) loads model variables
        from the checkpoint file.
    """
    tf.logging.info("Building model.")
    self.build_model(model_config)
    saver = tf.train.Saver()

    return self._create_restore_fn(checkpoint_path, saver)
def build_graph_from_config ( self , model_config , checkpoint_path ) : tf . logging . info ( "Building model." ) self . build_model ( model_config ) saver = tf . train . Saver ( ) return self . _create_restore_fn ( checkpoint_path , saver )