code: def _mp_fn(index):
      # For xla_spawn (TPUs)
      main()
  
file_path: lightseq/examples/training/huggingface/bert/task_qa/run_qa.py
imports: import logging
  import os
  import sys
  from dataclasses import dataclass, field
  from typing import Optional
  import datasets
  from datasets import load_dataset, load_metric
  import transformers
  from trainer_qa import QuestionAnsweringTrainer
  from transformers import AutoConfig, AutoModelForQuestionAnswering, AutoTokenizer, DataCollatorWithPadding, EvalPrediction, HfArgumentParser, PreTrainedTokenizerFast, TrainingArguments, default_data_collator, set_seed
  from transformers.trainer_utils import get_last_checkpoint
  from transformers.utils import check_min_version
  from transformers.utils.versions import require_version
  from utils_qa import postprocess_qa_predictions
  from ls_hf_transformer_layer import inject_ls_layer, LSBertForQuestionAnswering
label_desc: Use image node_id 2 for calling a global function with example usage: _mp_fn(index) without return types