code: def main(use_cuda):
      if use_cuda and not fluid.core.is_compiled_with_cuda():
          return
      # 模型保存的路径
      save_path = "cifar10/resnet"
  
      train(
          use_cuda=use_cuda,
          train_program=train_network,
          params_dirname=save_path,
      )
  
file_path: AdvBox/tutorials/cifar10_model.py
imports: from __future__ import print_function
  from __future__ import absolute_import
  import paddle
  import paddle.fluid
  import numpy
  import sys
  import os
  from .image_classification.resnet import resnet_cifar10
label_desc: Use image node_id 5 for calling a global function with example usage: main(use_cuda) without return types