code: def run_model(cls, model, inputs, device=None, **kwargs):
      rep = cls.prepare(model, device, **kwargs)
      return rep.run(inputs, **kwargs)
  
imports: import os
  import platform
  import sys
  import unittest
  from typing import Any
  import numpy
  import version_utils
  import onnx.backend.base
  import onnx.backend.test
  import onnx.shape_inference
  import onnx.version_converter
  from onnx import ModelProto
  from onnx.backend.base import Device, DeviceType
  from onnx.reference import ReferenceEvaluator
label_desc: Use image node_id 5 for calling the ReferenceEvaluatorBackend obj's underlying member method code with example usage: obj.run_model(cls, model, inputs, device) and returns: rep