code: def set_states(self, states):
      self._set_transform_states(states["transform_states"])
      self.prev_prediction = states["prev_prediction"]
  
imports: import paddle
  import paddle.nn.functional
  import numpy
  from inference.transforms import AddHorizontalFlip, SigmoidForPred, LimitLongestSide
  from .ops import DistMaps, ScaleLayer, BatchImageNormalize
label_desc: Use image node_id 13 for calling the BasePredictor obj's underlying member method code with example usage: obj.set_states(states) without return types