code: def basicblock(input, ch_out, stride):
      short = shortcut(input, ch_out, stride)
      conv1 = conv_bn_layer(input, ch_out, 3, stride, 1)
      conv2 = conv_bn_layer(
          conv1, ch_out, 3, 1, 1, paddle.activation.Linear()
      )
      return paddle.layer.addto(
          input=[short, conv2], act=paddle.activation.Relu()
      )
  
file_path: MMdnn/mmdnn/conversion/examples/paddle/models/resnet.py
imports: import paddle.v2
label_desc: Use image node_id 3 for calling a global function with example usage: basicblock(input, ch_out, stride) and returns: paddle