code: def check_encoder_decoder_model_standalone(self, config, inputs_dict):
      model = MvpModel(config=config).to(torch_device).eval()
      outputs = model(**inputs_dict)
  
      encoder_last_hidden_state = outputs.encoder_last_hidden_state
      last_hidden_state = outputs.last_hidden_state
  
      with tempfile.TemporaryDirectory() as tmpdirname:
          encoder = model.get_encoder()
          encoder.save_pretrained(tmpdirname)
          encoder = MvpEncoder.from_pretrained(tmpdirname).to(
              torch_device
          )
  
      encoder_last_hidden_state_2 = encoder(
          inputs_dict["input_ids"],
          attention_mask=inputs_dict["attention_mask"],
      )[0]
  
      self.parent.assertTrue(
          (encoder_last_hidden_state_2 - encoder_last_hidden_state)
          .abs()
          .max()
          .item()
          < 1e-3
      )
  
      with tempfile.TemporaryDirectory() as tmpdirname:
          decoder = model.get_decoder()
          decoder.save_pretrained(tmpdirname)
          decoder = MvpDecoder.from_pretrained(tmpdirname).to(
              torch_device
          )
  
      last_hidden_state_2 = decoder(
          input_ids=inputs_dict["decoder_input_ids"],
          attention_mask=inputs_dict["decoder_attention_mask"],
          encoder_hidden_states=encoder_last_hidden_state,
          encoder_attention_mask=inputs_dict["attention_mask"],
      )[0]
  
      self.parent.assertTrue(
          (last_hidden_state_2 - last_hidden_state).abs().max().item()
          < 1e-3
      )
  
imports: import copy
  import tempfile
  import unittest
  import timeout_decorator
  from transformers import MvpConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  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 MvpModelTester obj's underlying member method code with example usage: obj.check_encoder_decoder_model_standalone(config, inputs_dict) without return types