code: def test_EncDecCTCModel_export_to_onnx(self):
      model_config = DictConfig(
          {
              "preprocessor": DictConfig(self.preprocessor),
              "encoder": DictConfig(self.encoder_dict),
              "decoder": DictConfig(self.decoder_dict),
          }
      )
      model = EncDecCTCModel(cfg=model_config).cuda()
      with tempfile.TemporaryDirectory() as tmpdir:
          filename = os.path.join(tmpdir, "qn.onnx")
          model.export(
              output=filename,
              check_trace=True,
          )
          onnx_model = onnx.load(filename)
          onnx.checker.check_model(
              onnx_model, full_check=True
          )  # throws when failed
          assert onnx_model.graph.input[0].name == "audio_signal"
          assert onnx_model.graph.output[0].name == "logprobs"
  
imports: import os
  import tempfile
  import onnx
  import pytest
  import torch.cuda
  from omegaconf import DictConfig, ListConfig, OmegaConf
  from nemo.collections.asr.models import EncDecClassificationModel, EncDecCTCModel, EncDecRNNTModel, EncDecSpeakerLabelModel
  from nemo.collections.asr.parts.utils import asr_module_utils
  from nemo.collections.common.parts.adapter_modules import LinearAdapterConfig
  from nemo.core.utils import numba_utils
  from nemo.core.utils.numba_utils import __NUMBA_MINIMUM_VERSION__
label_desc: Use image node_id 1 for calling the TestExportable obj's underlying member method code with example usage: obj.test_EncDecCTCModel_export_to_onnx() without return types