code: def setUp(self):
      # initialize trainer
      self.model.train()
      return super().setUp()
  
file_path: trl/tests/test_iterative_sft_trainer.py
imports: import tempfile
  import unittest
  import torch
  from datasets import Dataset
  from parameterized import parameterized
  from transformers import AutoModelForCausalLM, AutoModelForSeq2SeqLM, AutoTokenizer, TrainingArguments
  from trl import IterativeSFTTrainer
label_desc: Use image node_id 4 for calling the IterativeTrainerTester obj's underlying member method code with example usage: obj.setUp() and returns: super