code: def prepare_config_and_inputs(self):
      bert_model_tester = BertModelTester(self)
      wav2vec2_model_tester = Wav2Vec2ModelTester(self)
      encoder_config_and_inputs = (
          wav2vec2_model_tester.prepare_config_and_inputs()
      )
      decoder_config_and_inputs = (
          bert_model_tester.prepare_config_and_inputs_for_decoder()
      )
      (
          config,
          input_values,
          input_mask,
      ) = encoder_config_and_inputs
      (
          decoder_config,
          decoder_input_ids,
          decoder_token_type_ids,
          decoder_input_mask,
          decoder_sequence_labels,
          decoder_token_labels,
          decoder_choice_labels,
          encoder_attention_mask,
          _,
      ) = decoder_config_and_inputs
  
      # make sure that cross attention layers are added
      decoder_config.add_cross_attention = True
      return {
          "config": config,
          "input_values": input_values,
          "attention_mask": input_mask,
          "decoder_config": decoder_config,
          "decoder_input_ids": decoder_input_ids,
          "decoder_token_type_ids": decoder_token_type_ids,
          "decoder_attention_mask": decoder_input_mask,
          "decoder_sequence_labels": decoder_sequence_labels,
          "decoder_token_labels": decoder_token_labels,
          "decoder_choice_labels": decoder_choice_labels,
          "labels": decoder_token_labels,
      }
  
imports: import tempfile
  import unittest
  from transformers import is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_modeling_common import floats_tensor, ids_tensor, random_attention_mask
  from ..bert.test_modeling_bert import BertModelTester
  from ..speech_to_text.test_modeling_speech_to_text import Speech2TextModelTester
  from ..speech_to_text_2.test_modeling_speech_to_text_2 import Speech2Text2StandaloneDecoderModelTester
  from ..wav2vec2.test_modeling_wav2vec2 import Wav2Vec2ModelTester
label_desc: Use image node_id 3 for calling the Wav2Vec2BertModelTest obj's underlying member method code with example usage: obj.prepare_config_and_inputs() and returns: dict