code: def parse_args():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--distplan",
          type=str,
          default="CAI_Gemini",
          help="The distributed plan [colossalai, zero1, zero2, torch_ddp, torch_zero].",
      )
      parser.add_argument(
          "--batch_size",
          type=int,
          default=8,
          help="batch size per DP group of training.",
      )
      parser.add_argument(
          "--model_type",
          type=str,
          default="gpt2_medium",
          help="model model scale",
      )
      parser.add_argument(
          "--train_step",
          type=int,
          default=10,
          help="training iterations for test",
      )
  
      args = parser.parse_args()
      return args
  
imports: import argparse
  import os
  from contextlib import nullcontext
  from functools import partial
  from time import time
  import psutil
  import torch
  import torch.nn
  from commons.model_zoo import model_builder
  from commons.utils import get_data, get_profile_context, get_tflops, get_time_stamp
  from packaging import version
  import colossalai
  from colossalai.booster import Booster
  from colossalai.booster.plugin import GeminiPlugin, LowLevelZeroPlugin, TorchDDPPlugin
  from colossalai.lazy import LazyInitContext
  from colossalai.logging import disable_existing_loggers, get_dist_logger
  from colossalai.nn.optimizer import HybridAdam
  from colossalai.utils import get_current_device
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args