code: def test_vinvl_for_classification(self):
      model_for_classification = build_model(self.classification_config)
      model_for_classification.eval()
      model_for_classification = model_for_classification.to(
          get_current_device()
      )
      with torch.no_grad():
          model_output = model_for_classification(self.sample_list)
  
      self.assertTrue("losses" in model_output)
      self.assertTrue("ce" in model_output["losses"])
  
imports: import unittest
  import tests.test_utils
  import torch
  from mmf.common.sample import SampleList
  from mmf.models.vinvl import VinVLBase, VinVLForClassification, VinVLForPretraining
  from mmf.utils.build import build_model
  from mmf.utils.configuration import Configuration
  from mmf.utils.env import setup_imports, teardown_imports
  from mmf.utils.general import get_current_device
  from omegaconf import OmegaConf
label_desc: Use image node_id 4 for calling the TestVinVLModel obj's underlying member method code with example usage: obj.test_vinvl_for_classification() without return types