(self, checkpoint_path, saver)
return _restore_fn
Creates a function that restores a model from checkpoint.

    Args:
      checkpoint_path: Checkpoint file or a directory containing a checkpoint
        file.
      saver: Saver for restoring variables from the checkpoint file.

    Returns:
      restore_fn: A function such that restore_fn(sess) loads model variables
        from the checkpoint file.

    Raises:
      ValueError: If checkpoint_path does not refer to a checkpoint file or a
        directory containing a checkpoint file.
Creates a function that restores a model from checkpoint.
Creates a function that restores a model from checkpoint .
def _create_restore_fn(self, checkpoint_path, saver):
    """Creates a function that restores a model from checkpoint.

    Args:
      checkpoint_path: Checkpoint file or a directory containing a checkpoint
        file.
      saver: Saver for restoring variables from the checkpoint file.

    Returns:
      restore_fn: A function such that restore_fn(sess) loads model variables
        from the checkpoint file.

    Raises:
      ValueError: If checkpoint_path does not refer to a checkpoint file or a
        directory containing a checkpoint file.
    """
    if tf.gfile.IsDirectory(checkpoint_path):
      checkpoint_path = tf.train.latest_checkpoint(checkpoint_path)
      if not checkpoint_path:
        raise ValueError("No checkpoint file found in: %s" % checkpoint_path)

    def _restore_fn(sess):
      tf.logging.info("Loading model from checkpoint: %s", checkpoint_path)
      saver.restore(sess, checkpoint_path)
      tf.logging.info("Successfully loaded checkpoint: %s",
                      os.path.basename(checkpoint_path))

    return _restore_fn
def _create_restore_fn ( self , checkpoint_path , saver ) : if tf . gfile . IsDirectory ( checkpoint_path ) : checkpoint_path = tf . train . latest_checkpoint ( checkpoint_path ) if not checkpoint_path : raise ValueError ( "No checkpoint file found in: %s" % checkpoint_path ) def _restore_fn ( sess ) : tf . logging . info ( "Loading model from checkpoint: %s" , checkpoint_path ) saver . restore ( sess , checkpoint_path ) tf . logging . info ( "Successfully loaded checkpoint: %s" , os . path . basename ( checkpoint_path ) ) return _restore_fn