code: def _substitute_raw_value(cls, tp, raw_values_dict):
      if tp.HasField("raw_data") and tp.raw_data == bytes(
          b"__EXTERNAL"
      ):
          if tp.name not in raw_values_dict:
              raise RuntimeError(
                  "TensorProto for value {} referenced raw data but it was not found!".format(
                      tp.name
                  )
              )
          else:
              tp.raw_data = raw_values_dict[tp.name]
  
imports: import collections
  import sys
  import zipfile
  import itertools
  import onnx.backend
  from caffe2.python import core, workspace, rnn_cell, gru_cell
  from caffe2.python.model_helper import ModelHelper
  from caffe2.proto import caffe2_pb2
  import caffe2.python.utils
  import numpy
  import onnx
  from onnx import TensorProto
  import onnx.numpy_helper
  import onnx.defs
  import onnx.shape_inference
  import onnx.utils
  from onnx.backend.base import Backend, Device, DeviceType, namedtupledict
  from caffe2.python.onnx.workspace import Workspace
  from caffe2.python.onnx.backend_rep import Caffe2Rep
  import caffe2.python._import_c_extension
  import warnings
label_desc: Use image node_id 11 for calling the Caffe2Backend obj's underlying member method code with example usage: obj._substitute_raw_value(cls, tp, raw_values_dict) without return types