code: def check_save_and_load(
      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
      )
      enc_dec_model.to(torch_device)
      enc_dec_model.eval()
      with torch.no_grad():
          outputs = 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,
          )
          out_2 = outputs[0].cpu().numpy()
          out_2[np.isnan(out_2)] = 0
  
          with tempfile.TemporaryDirectory() as tmpdirname:
              enc_dec_model.save_pretrained(tmpdirname)
              enc_dec_model = SpeechEncoderDecoderModel.from_pretrained(
                  tmpdirname
              )
              enc_dec_model.to(torch_device)
  
              after_outputs = 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,
              )
              out_1 = after_outputs[0].cpu().numpy()
              out_1[np.isnan(out_1)] = 0
              max_diff = np.amax(np.abs(out_1 - out_2))
              self.assertLessEqual(max_diff, 1e-5)
  
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 8 for calling the EncoderDecoderMixin obj's underlying member method code with example usage: obj.check_save_and_load(config, attention_mask, decoder_config, decoder_input_ids, decoder_attention_mask, input_values, input_features) without return types