code: def _get_transform_states(self):
      return [x.get_state() for x in self.transforms]
  
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 8 for calling the BasePredictor obj's underlying member method code with example usage: obj._get_transform_states() and returns: unknown