code: def define_graph(self):
      self.data = self.inputs()
      out = self.data.gpu() if self.device == "gpu" else self.data
      if self.tested_operator == "resize" or not self.tested_operator:
          out = self.resize(out)
      if self.tested_operator == "crop" or not self.tested_operator:
          out = self.crop(out)
      if (
          self.tested_operator == "transpose"
          or not self.tested_operator
      ):
          out = self.transpose(out)
      if (
          self.tested_operator == "normalize"
          or not self.tested_operator
      ):
          out = self.cmn(out)
      return out
  
imports: from nvidia.dali.pipeline import Pipeline
  import nvidia.dali.ops
  import nvidia.dali.types
  import numpy
  import os
  from test_utils import compare_pipelines
  from test_utils import RandomDataIterator
  import cv2
  import glob
label_desc: Use image node_id 2 for calling the MultichannelSynthPipeline obj's underlying member method code with example usage: obj.define_graph() and returns: out