code: def print_result(self):
      self.model.blobs["input"].data[...] = self.data
      predict = self.model.forward()[self.model._layer_names[-1]][0]
      super(TestCaffe, self).print_result(predict)
  
file_path: MMdnn/mmdnn/conversion/examples/caffe/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  from six import text_type
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import caffe
label_desc: Use image node_id 3 for calling the TestCaffe obj's underlying member method code with example usage: obj.print_result() without return types