code: def run_node(
      cls,
      node: NodeProto,
      inputs: Any,
      device: str = "CPU",
      outputs_info: Optional[
          Sequence[Tuple[numpy.dtype, Tuple[int, ...]]]
      ] = None,
      **kwargs: Any,
  ) -> Optional[Tuple[Any, ...]]:
      super().run_node(
          node, inputs, device=device, outputs_info=outputs_info
      )
      raise BackendIsNotSupposedToImplementIt(
          "This is the dummy backend test that doesn't verify the results but does run the checker"
      )
  
file_path: onnx/onnx/test/test_backend_test.py
imports: import itertools
  import os
  import platform
  import unittest
  from typing import Any, Optional, Sequence, Tuple
  import numpy
  import onnx.backend.base
  import onnx.backend.test
  import onnx.shape_inference
  import onnx.version_converter
  from onnx import ModelProto, NodeProto, TensorProto
  from onnx.backend.base import Device, DeviceType
  from onnx.backend.test.runner import BackendIsNotSupposedToImplementIt
label_desc: Use image node_id 2 for calling the DummyBackend obj's underlying member method code with example usage: obj.run_node(cls, node, inputs, device, outputs_info) without return types