code: def forward(self, x):
      x = self.layer0(x)
      x = self.layer1(x)
      x = self.layer2(x)
      x = self.layer3(x)
      x = self.layer4(x)
      x = self.layer5(x)
      x = self.layer6(x)
      x = self.layer7(x)
      x = self.final_layer(x)
  
      x = x.mean(3).mean(2)
      x = self.classifier(x)
      return x
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/backbone/mobilenet.py
imports: from __future__ import absolute_import
  import math
  import torch.nn
  from ..activations import get_activation_block
label_desc: Use image node_id 2 for calling the MobileNetV2 obj's underlying member method code with example usage: obj.forward(x) and returns: x