code: def parse_args():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "-s",
          "--synthetic",
          action="store_true",
          help="whether use synthetic data",
      )
      return parser.parse_args()
  
file_path: colossalai/examples/tutorial/sequence_parallel/train.py
imports: import argparse
  import torch
  from data.bert_helper import SequenceParallelDataIterator, get_batch_for_sequence_parallel
  from data.dummy_dataloader import DummyDataloader
  from loss_func.bert_loss import BertLoss
  from lr_scheduler import AnnealingLR
  from model.bert import BertForPretrain, build_pipeline_bert
  import colossalai
  from colossalai.kernel import LayerNorm
  from colossalai.legacy.amp import AMP_TYPE
  from colossalai.legacy.context.parallel_mode import ParallelMode
  from colossalai.legacy.core import global_context
  from colossalai.legacy.utils import is_using_pp
  from colossalai.logging import get_dist_logger
  from colossalai.nn.optimizer import FusedAdam
  from colossalai.utils import MultiTimer
label_desc: Use image node_id 2 for calling a global function with example usage: parse_args() and returns: parser