code: def _set_transform_states(self, states):
      assert len(states) == len(self.transforms)
      for state, transform in zip(states, self.transforms):
          transform.set_state(state)
  
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 11 for calling the BasePredictor obj's underlying member method code with example usage: obj._set_transform_states(states) without return types