code: def load_graphdef(model_url, reset_device=True):
      """Load GraphDef from a binary proto file."""
      graph_def = load(model_url)
  
      if reset_device:
          for n in graph_def.node:
              n.device = ""
  
      return graph_def
  
file_path: lucid/lucid/modelzoo/util.py
imports: from __future__ import absolute_import, division, print_function
  import tensorflow
  import json
  from google.protobuf.message import DecodeError
  import logging
  import warnings
  from collections import defaultdict
  from itertools import chain
  from lucid.misc.io import load
  from lucid.misc.io.saving import ClarityJSONEncoder
label_desc: Use image node_id 2 for calling a global function with example usage: load_graphdef(model_url, reset_device) and returns: graph_def