code: def setUp(self):
      test_utils.setup_proxy()
      setup_imports()
      model_name = "vinvl"
      args = test_utils.dummy_args(model=model_name, dataset="test")
      configuration = Configuration(args)
      config = configuration.get_config()
      model_config = config.model_config[model_name]
      model_config.model = model_name
      model_config.do_pretraining = False
      classification_config_dict = {
          "do_pretraining": False,
          "heads": {"mlp": {"num_labels": 3129}},
          "ce_loss": {"ignore_index": -1},
      }
      self.classification_config = OmegaConf.create(
          {**model_config, **classification_config_dict}
      )
  
      pretraining_config_dict = {
          "do_pretraining": True,
          "heads": {"mlm": {"hidden_size": 768}},
      }
      self.pretraining_config = OmegaConf.create(
          {**model_config, **pretraining_config_dict}
      )
  
      self.sample_list = self._get_sample_list()
  
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 1 for calling the TestVinVLModel obj's underlying member method code with example usage: obj.setUp() without return types