code: def prepare(
      cls, model: onnx.ModelProto, device: str = "CPU", **kwargs: Any
  ) -> InferenceSessionBackendRep:
      del kwargs  # Unused
      if not isinstance(model, (str, bytes, onnx.ModelProto)):
          raise TypeError(f"Unexpected type {type(model)} for model.")
  
      session = _create_inference_session(model, device)
      return InferenceSessionBackendRep(session)
  
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 2 for calling the InferenceSessionBackend obj's underlying member method code with example usage: obj.prepare(cls, model, device) and returns: InferenceSessionBackendRep