code: def check_encoder_decoder_model_standalone(self, config, inputs_dict):
      model = (
          TimeSeriesTransformerModel(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 = TimeSeriesTransformerEncoder.from_pretrained(
              tmpdirname
          ).to(torch_device)
  
      transformer_inputs, _, _, _ = model.create_network_inputs(
          **inputs_dict
      )
      enc_input = transformer_inputs[:, : config.context_length, ...]
      dec_input = transformer_inputs[:, config.context_length :, ...]
  
      encoder_last_hidden_state_2 = encoder(inputs_embeds=enc_input)[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 = TimeSeriesTransformerDecoder.from_pretrained(
              tmpdirname
          ).to(torch_device)
  
      last_hidden_state_2 = decoder(
          inputs_embeds=dec_input,
          encoder_hidden_states=encoder_last_hidden_state,
      )[0]
  
      self.parent.assertTrue(
          (last_hidden_state_2 - last_hidden_state).abs().max().item()
          < 1e-3
      )
  
imports: import inspect
  import tempfile
  import unittest
  from huggingface_hub import hf_hub_download
  from parameterized import parameterized
  from transformers import is_torch_available
  from transformers.testing_utils import is_flaky, 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 6 for calling the TimeSeriesTransformerModelTester obj's underlying member method code with example usage: obj.check_encoder_decoder_model_standalone(config, inputs_dict) without return types