code: def main():
      """
      main
      """
      prog_args = arg_parse()
      print(prog_args)
      graph_classify_task(prog_args)
  
      print(
          "Train time per epoch: {:.4f}".format(
              sum(global_train_time_per_epoch)
              / len(global_train_time_per_epoch)
          )
      )
      print(
          "Max memory usage: {:.4f}".format(
              torch.cuda.max_memory_allocated(0) / (1024 * 1024)
          )
      )
  
imports: import argparse
  import os
  import random
  import time
  import dgl
  import dgl.function
  import networkx
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.data
  from data_utils import pre_process
  from dgl import DGLGraph
  from dgl.data import tu
  from model.encoder import DiffPool
label_desc: Use image node_id 6 for calling a global function with example usage: main() without return types