code: def forward(self, x):
      out = self.out(x)
      if self.use_shortcut:
          out[:, 0 : self.in_channels] += x
  
      return out
  
imports: import os
  from math import ceil
  from typing import Union
  import paddle
  import paddle.nn
  import numpy
  import paddlehub.vision.transforms
  from paddle import ParamAttr
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
label_desc: Use image node_id 2 for calling the LinearBottleneck obj's underlying member method code with example usage: obj.forward(x) and returns: out