code: def prepare_config_and_inputs_for_nlvr(self):
      nlvr_labels = None
  
      if self.use_labels:
          nlvr_labels = ids_tensor([self.batch_size], self.num_labels)
  
      config, input_dict = self.prepare_config_and_inputs_for_common()
  
      input_dict.update({"labels": nlvr_labels})
      return config, input_dict
  
imports: import copy
  import unittest
  from transformers import VisualBertConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the VisualBertModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_nlvr() and returns: config,  input_dict