code: def test_training(self):
      torch.manual_seed(0)
  
      finish_state = run_training_test(
          self.data_dir, device=self.device
      )
  
      # assert GAN training finished
      self.assertEqual(finish_state.iteration, 100)
      self.assertEqual(finish_state.epoch, 5)
  
imports: from __future__ import annotations
  import os
  import shutil
  import tempfile
  import unittest
  from glob import glob
  import nibabel
  import numpy
  import torch
  import monai
  from monai.data import create_test_image_2d
  from monai.engines import GanTrainer
  from monai.handlers import CheckpointSaver, StatsHandler, TensorBoardStatsHandler
  from monai.networks import normal_init
  from monai.networks.nets import Discriminator, Generator
  from monai.transforms import Compose, EnsureChannelFirstd, LoadImaged, RandFlipd, ScaleIntensityd
  from monai.utils import GanKeys
  from monai.utils import set_determinism
  from tests.utils import DistTestCase, TimedCall, skip_if_quick
label_desc: Use image node_id 3 for calling the IntegrationWorkflowsGAN obj's underlying member method code with example usage: obj.test_training() without return types