code: def run_model(
      cls, model: onnx.ModelProto, inputs, device=None, **kwargs
  ):
      return super().run_model(model, inputs, device=device, **kwargs)
  
imports: from __future__ import annotations
  import platform
  import unittest
  from typing import Any
  import numpy
  from packaging.version import Version
  import onnx.backend.base
  import onnx.backend.test
  import onnx.shape_inference
  import onnx.version_converter
  from onnx.backend.base import Device, DeviceType
label_desc: Use image node_id 3 for calling the InferenceSessionBackend obj's underlying member method code with example usage: obj.run_model(cls, model, inputs, device) and returns: super