code: def layer_warp(block_func, input, ch_out, count, stride):
      conv = block_func(input, ch_out, stride)
      for i in range(1, count):
          conv = block_func(conv, ch_out, 1)
      return conv
  
file_path: MMdnn/mmdnn/conversion/examples/paddle/models/resnet.py
imports: import paddle.v2
label_desc: Use image node_id 5 for calling a global function with example usage: layer_warp(block_func, input, ch_out, count, stride) and returns: conv