code: def main():
      # TODO: use argv
      parser = argparse.ArgumentParser(
          description="Caffe2: Benchmark for net construction"
      )
      parser.add_argument(
          "--num_gpus", type=int, default=1, help="Number of GPUs."
      )
      args = parser.parse_args()
  
      Create(args)
  
file_path: pytorch/caffe2/experiments/python/net_construct_bench.py
imports: import argparse
  import logging
  import time
  from caffe2.python import workspace, data_parallel_model
  from caffe2.python import cnn
  import caffe2.python.models.resnet
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types