code: def test_node_name_conventions(self):
      model = TestModule()
      train_nodes, _ = get_graph_node_names(model)
      assert all(a == b for a, b in zip(train_nodes, test_module_nodes))
  
imports: import random
  from itertools import chain
  from typing import Mapping, Sequence
  import pytest
  import torch
  from common_utils import set_rng_seed
  from torchvision import models
  from torchvision.models._utils import IntermediateLayerGetter
  from torchvision.models.detection.backbone_utils import BackboneWithFPN, mobilenet_backbone, resnet_fpn_backbone
  from torchvision.models.feature_extraction import create_feature_extractor, get_graph_node_names
label_desc: Use image node_id 4 for calling the TestFxFeatureExtraction obj's underlying member method code with example usage: obj.test_node_name_conventions() without return types