code: def setUp(self):
      x = torch.randint(0, 5, (10,))
      self.dataset = DummyDataset(x)
      self.args = TrainingArguments(".")
      config = GPT2Config(
          vocab_size=100,
          n_positions=128,
          n_ctx=128,
          n_embd=32,
          n_layer=3,
          n_head=4,
      )
      self.model = GPT2LMHeadModel(config)
  
file_path: baal/tests/transformers_trainer_wrapper_test.py
imports: import unittest
  from copy import deepcopy
  import numpy
  import pytest
  import torch
  from transformers import GPT2LMHeadModel, GPT2Config
  from transformers import TrainingArguments
  from baal.transformers_trainer_wrapper import BaalTransformersTrainer
label_desc: Use image node_id 1 for calling the BaalTransformerTrainer obj's underlying member method code with example usage: obj.setUp() without return types