code: def get_default_parser():
      """Reads user command line and uses an argument parser to parse the input arguments.
      Input arguments include configuration, host, port, world size, local rank, backend for torch.distributed.
  
      Returns:
         Namespace: Returns the parser with the default arguments, the user may add customized arguments into this parser.
      """
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--config", type=str, help="path to the config file"
      )
      parser.add_argument(
          "--host",
          type=str,
          help="the master address for distributed training",
      )
      parser.add_argument(
          "--port",
          type=int,
          help="the master port for distributed training",
      )
      parser.add_argument(
          "--world_size",
          type=int,
          help="world size for distributed training",
      )
      parser.add_argument(
          "--rank", type=int, help="rank for the default process group"
      )
      parser.add_argument(
          "--local_rank", type=int, help="local rank on the node"
      )
      parser.add_argument(
          "--backend",
          type=str,
          default="nccl",
          help="backend for distributed communication",
      )
      return parser
  
imports: import argparse
  import os
  import pprint
  from pathlib import Path
  from typing import Callable, Dict, Iterable, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from torch.nn.modules.loss import _Loss
  from torch.nn.parallel import DistributedDataParallel
  from torch.optim.lr_scheduler import _LRScheduler
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader
  from colossalai.context import Config, ConfigException
  from colossalai.interface import OptimizerWrapper
  from colossalai.legacy.amp import AMP_TYPE, convert_to_amp
  from colossalai.legacy.amp.naive_amp import NaiveAMPModel
  from colossalai.legacy.builder.builder import build_gradient_handler
  from colossalai.legacy.context import ParallelMode
  from colossalai.legacy.core import global_context
  from colossalai.legacy.engine import Engine
  from colossalai.legacy.engine.gradient_accumulation import accumulate_gradient
  from colossalai.legacy.engine.schedule import InterleavedPipelineSchedule, NonPipelineSchedule, PipelineSchedule, get_tensor_shape
  from colossalai.legacy.utils import is_using_ddp, is_using_pp, is_using_sequence, sync_model_param
  from colossalai.legacy.zero import ShardedOptimizerV2, convert_to_zero_v2
  from colossalai.legacy.zero.gemini.ophooks import BaseOpHook
  from colossalai.logging import get_dist_logger
  from colossalai.utils import get_current_device
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_parser() and returns: parser