code: def check_encoder_decoder_model(
      self,
      config,
      attention_mask,
      decoder_config,
      decoder_input_ids,
      decoder_attention_mask,
      input_values=None,
      input_features=None,
      **kwargs,
  ):
      encoder_model, decoder_model = self.get_encoder_decoder_model(
          config, decoder_config
      )
      enc_dec_model = SpeechEncoderDecoderModel(
          encoder=encoder_model, decoder=decoder_model
      )
      self.assertTrue(enc_dec_model.config.decoder.is_decoder)
      self.assertTrue(enc_dec_model.config.decoder.add_cross_attention)
      self.assertTrue(enc_dec_model.config.is_encoder_decoder)
      enc_dec_model.to(torch_device)
      outputs_encoder_decoder = enc_dec_model(
          input_values=input_values,
          input_features=input_features,
          decoder_input_ids=decoder_input_ids,
          attention_mask=attention_mask,
          decoder_attention_mask=decoder_attention_mask,
          output_hidden_states=True,
      )
      self.assertEqual(
          outputs_encoder_decoder["logits"].shape,
          (decoder_input_ids.shape + (decoder_config.vocab_size,)),
      )
      encoder_outputs = BaseModelOutput(
          last_hidden_state=outputs_encoder_decoder.encoder_hidden_states[
              -1
          ]
      )
      outputs_encoder_decoder = enc_dec_model(
          encoder_outputs=encoder_outputs,
          decoder_input_ids=decoder_input_ids,
          attention_mask=attention_mask,
          decoder_attention_mask=decoder_attention_mask,
      )
  
      self.assertEqual(
          outputs_encoder_decoder["logits"].shape,
          (decoder_input_ids.shape + (decoder_config.vocab_size,)),
      )
  
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 5 for calling the EncoderDecoderMixin obj's underlying member method code with example usage: obj.check_encoder_decoder_model(config, attention_mask, decoder_config, decoder_input_ids, decoder_attention_mask, input_values, input_features) without return types