code: def handle_frozen_graph(cls, architecture, path):
      return
  
imports: from __future__ import absolute_import
  import os
  import tensorflow
  from tensorflow.contrib.slim.nets import vgg
  from tensorflow.contrib.slim.nets import inception
  from tensorflow.contrib.slim.nets import resnet_v1
  from tensorflow.contrib.slim.nets import resnet_v2
  from mmdnn.conversion.examples.tensorflow.models import inception_resnet_v2
  from mmdnn.conversion.examples.tensorflow.models import mobilenet_v1
  from mmdnn.conversion.examples.tensorflow.models import nasnet
  from mmdnn.conversion.examples.tensorflow.models.mobilenet import mobilenet_v2
  from mmdnn.conversion.examples.tensorflow.models import inception_resnet_v1
  from mmdnn.conversion.examples.tensorflow.models import test_rnn
  from mmdnn.conversion.examples.imagenet_test import TestKit
  from mmdnn.conversion.examples.extractor import base_extractor
  from mmdnn.conversion.common.utils import download_file
label_desc: Use image node_id 2 for calling the tensorflow_extractor obj's underlying member method code with example usage: obj.handle_frozen_graph(cls, architecture, path) without return types