code: def forward(self, x):
      x = self.features(x)
  
      if self.with_pool:
          x = self.avgpool(x)
  
      return x
  
imports: import os
  from typing import Union
  import numpy
  import paddle
  import paddle.nn
  import paddlehub.vision.transforms
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
  import paddle
  from paddle import nn
label_desc: Use image node_id 2 for calling the VGG obj's underlying member method code with example usage: obj.forward(x) and returns: x