code: def _mp_fn(index):
      # For xla_spawn (TPUs)
      main()
  
imports: import json
  import logging
  import os
  import sys
  from dataclasses import dataclass, field
  from functools import partial
  from pathlib import Path
  from typing import Optional
  import datasets
  import transformers
  from datasets import load_dataset
  from evaluate import load
  from onnxruntime.quantization import QuantFormat, QuantizationMode, QuantType
  from transformers import AutoTokenizer, EvalPrediction, HfArgumentParser, PreTrainedTokenizer, TrainingArguments
  from transformers.utils import check_min_version
  from transformers.utils.versions import require_version
  from utils_qa import postprocess_qa_predictions
  from optimum.onnxruntime import ORTQuantizer
  from optimum.onnxruntime.configuration import AutoCalibrationConfig, QuantizationConfig
  from optimum.onnxruntime.model import ORTModel
  from optimum.onnxruntime.modeling_ort import ORTModelForQuestionAnswering
  from optimum.onnxruntime.preprocessors import QuantizationPreprocessor
  from optimum.onnxruntime.preprocessors.passes import ExcludeGeLUNodes, ExcludeLayerNormNodes, ExcludeNodeAfter, ExcludeNodeFollowedBy
label_desc: Use image node_id 2 for calling a global function with example usage: _mp_fn(index) without return types