code: def prepare_config_and_inputs_for_common(self):
      input_ids = ids_tensor(
          [self.batch_size, self.seq_length], self.vocab_size
      )
      visual_embeds = floats_tensor(
          [
              self.batch_size,
              self.visual_seq_length,
              self.visual_embedding_dim,
          ]
      )
  
      attention_mask = None
      if self.use_attention_mask:
          attention_mask = torch.ones(
              (self.batch_size, self.seq_length),
              dtype=torch.long,
              device=torch_device,
          )
  
      visual_attention_mask = None
      if self.use_visual_attention_mask:
          visual_attention_mask = torch.ones(
              (self.batch_size, self.visual_seq_length),
              dtype=torch.long,
              device=torch_device,
          )
  
      token_type_ids = None
      if self.use_token_type_ids:
          token_type_ids = ids_tensor(
              [self.batch_size, self.seq_length], self.type_vocab_size
          )
  
      visual_token_type_ids = None
      if self.use_visual_token_type_ids:
          visual_token_type_ids = ids_tensor(
              [self.batch_size, self.visual_seq_length],
              self.type_vocab_size,
          )
  
      config = self.get_config()
      return config, {
          "input_ids": input_ids,
          "token_type_ids": token_type_ids,
          "attention_mask": attention_mask,
          "visual_embeds": visual_embeds,
          "visual_token_type_ids": visual_token_type_ids,
          "visual_attention_mask": visual_attention_mask,
      }
  
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 3 for calling the VisualBertModelTester obj's underlying member method code with example usage: obj.prepare_config_and_inputs_for_common() and returns: config,  dict