code: def pretrain_hooks(_cfg, _trainer):
      """
      Run hooks right before kicking off the training
      :param cfg:
      :param trainer:
      :return:
      """
  
imports: import os
  import signal
  import sys
  from dataclasses import dataclass
  from pathlib import Path
  from typing import Optional, Tuple, Union
  import torch
  import transformers.modelcard
  from accelerate.logging import get_logger
  from datasets import Dataset
  from optimum.bettertransformer import BetterTransformer
  from peft import PeftModel
  from pkg_resources import get_distribution
  from transformers import PreTrainedModel, PreTrainedTokenizer
  from transformers.deepspeed import is_deepspeed_zero3_enabled
  from axolotl.common.cli import TrainerCliArgs
  from axolotl.logging_config import configure_logging
  from axolotl.utils.dict import DictDefault
  from axolotl.utils.freeze import freeze_parameters_except
  from axolotl.utils.models import load_model, load_tokenizer
  from axolotl.utils.trainer import setup_trainer
label_desc: Use image node_id 2 for calling a global function with example usage: pretrain_hooks(_cfg, _trainer) without return types