code: def _get_transform_states(self):
      return [x.get_state() for x in self.transforms]
  
imports: import os
  import sys
  import logging
  import numpy
  from copy import deepcopy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.inference import create_predictor, Config
  from inference.ops import DistMaps3D, ScaleLayer, BatchImageNormalize3D, SigmoidForPred
label_desc: Use image node_id 10 for calling the BasePredictor obj's underlying member method code with example usage: obj._get_transform_states() and returns: unknown