code: def forward(self, x):
      x = x + 1
      x = x + 1
      x = self.relu(x)
      x = self.relu(x)
      return x
  
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 2 for calling the TestSubModule obj's underlying member method code with example usage: obj.forward(x) and returns: x