code: def _get_trainer_cls(training_mode):
      if training_mode == "relora":
          from bigdl.llm.transformers.relora import ReLoRATrainer
  
          return ReLoRATrainer
      return transformers.Trainer
  
file_path: BigDL/python/llm/example/GPU/QLoRA-FineTuning/alpaca-qlora/alpaca_qlora_finetuning.py
imports: import os
  from typing import List
  import fire
  import torch
  import transformers
  from datasets import load_dataset
  import accelerate
  from transformers import LlamaTokenizer
  from peft import get_peft_model_state_dict, set_peft_model_state_dict
  from utils.prompter import Prompter
  from transformers import BitsAndBytesConfig
  from bigdl.llm.transformers import AutoModelForCausalLM
  from bigdl.llm.transformers.qlora import get_peft_model, prepare_model_for_kbit_training, LoraConfig
  from bigdl.llm.utils.common import invalidInputError
label_desc: Use image node_id 2 for calling a global function with example usage: _get_trainer_cls(training_mode) and returns: transformers, ReLoRATrainer