code: def test_with_ort_example(self) -> None:
      try:
          import onnxruntime
  
          del onnxruntime
      except ImportError:
          raise unittest.SkipTest("onnxruntime not installed") from None
  
      from numpy import float32, random
      from onnxruntime import InferenceSession
      from onnxruntime.datasets import get_example
  
      from onnx import checker, load, shape_inference, version_converter
  
      # get certain example model from ORT using opset 9
      example1 = get_example("sigmoid.onnx")
  
      # test ONNX functions
      model = load(example1)
      checker.check_model(model)
      checker.check_model(model, full_check=True)
      inferred_model = shape_inference.infer_shapes(
          model, check_type=True, strict_mode=True, data_prop=True
      )
      converted_model = version_converter.convert_version(
          inferred_model, 10
      )
  
      # test ONNX Runtime functions
      sess = InferenceSession(
          converted_model.SerializeToString(),
          providers=["CPUExecutionProvider"],
      )
      input_name = sess.get_inputs()[0].name
      output_name = sess.get_outputs()[0].name
      x = random.random((3, 4, 5))
      x = x.astype(float32)
  
      sess.run([output_name], {input_name: x})
  
label_desc: Use image node_id 1 for calling the TestONNXRuntime obj's underlying member method code with example usage: obj.test_with_ort_example() without return types