code: def shortcut(self, input, ch_out, stride, name):
      ch_in = input.shape[1]
      if ch_in != ch_out or stride != 1:
          return self.conv_bn_layer(input, ch_out, 1, stride, name=name)
      else:
          return input
  
file_path: PaddleHub/modules/video/classification/videotag_tsn_lstm/resource/models/tsn/tsn_res_model.py
imports: import os
  import time
  import sys
  import paddle.fluid
  import math
label_desc: Use image node_id 3 for calling the TSN_ResNet obj's underlying member method code with example usage: obj.shortcut(input, ch_out, stride, name) and returns: self, input