code: def prepare_input(self, image):
      prev_mask = image[:, 1:, :, :, :]
      image = image[:, :1, :, :, :]
      image = self.normalization(image)
      return image, prev_mask
  
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 7 for calling the BasePredictor obj's underlying member method code with example usage: obj.prepare_input(image) and returns: image,  prev_mask