class_docstr: Integration tests ensuring supported models are correctly exported
class_docstr_tok: ["Integration","tests","ensuring","supported","models","are","correctly","exported"]
code: def test_pytorch_export_encoder_decoder_models(
      self,
      test_name,
      name,
      model_name,
      feature,
      onnx_config_class_constructor,
  ):
      self._onnx_export_encoder_decoder_models(
          test_name,
          name,
          model_name,
          feature,
          onnx_config_class_constructor,
      )
  
imports: import os
  from pathlib import Path
  from tempfile import NamedTemporaryFile
  from unittest import TestCase
  from unittest.mock import patch
  import pytest
  from parameterized import parameterized
  from transformers import AutoConfig, PreTrainedTokenizerBase, is_tf_available, is_torch_available
  from transformers.onnx import EXTERNAL_DATA_FORMAT_SIZE_LIMIT, OnnxConfig, OnnxConfigWithPast, ParameterFormat, export, validate_model_outputs
  from transformers.onnx.utils import compute_effective_axis_dimension, compute_serialized_parameters_size, get_preprocessor
  from transformers.testing_utils import require_onnx, require_rjieba, require_tf, require_torch, require_vision, slow
label_desc: Use image node_id 5 for calling the OnnxExportTestCaseV2 obj's underlying member method code with example usage: obj.test_pytorch_export_encoder_decoder_models(test_name, name, model_name, feature, onnx_config_class_constructor) without return types