code: def parse_args():
      parser = argparse.ArgumentParser()
      parser.add_argument("--epoch", type=int, default=1)
      parser.add_argument("--world_size", type=int, default=2)
      parser.add_argument("--batch_size", type=int, default=16)
      parser.add_argument("--dp_degree", type=int, default=1)
      parser.add_argument("--tp_degree", type=int, default=1)
      parser.add_argument("--num_microbatches", type=int, default=2)
      parser.add_argument("--chunk", type=int, default=1)
      parser.add_argument("--use_checkpoint", action="store_true")
      parser.add_argument(
          "--optimizer",
          type=str,
          choices=["SGD", "Adam", "RMSprop"],
          default="SGD",
      )
      parser.add_argument(
          "--device", type=str, choices=["cpu", "cuda"], default="cuda"
      )
      parser.add_argument(
          "--master_addr", type=str, default="localhost"
      )
      parser.add_argument("--master_port", type=str, default="29020")
      parser.add_argument("--num_worker_threads", type=int, default=128)
      return parser.parse_args()
  
imports: import argparse
  import os
  import warnings
  from typing import Any, Callable, Tuple, Type, Union
  import torch
  import torch.distributed.rpc
  import torch.multiprocessing
  from torch._C._distributed_rpc import _is_current_rpc_agent_set
  from torch.futures import Future
  from colossalai.initialize import launch
  from colossalai.legacy.pipeline.pipeline_process_group import ppg
label_desc: Use image node_id 11 for calling a global function with example usage: parse_args() and returns: parser