code: def get_bench_device():
      device = os.environ.get("DGL_BENCH_DEVICE", "cpu")
      if device.lower() == "gpu":
          return "cuda:0"
      else:
          return device
  
imports: import inspect
  import json
  import os
  import pickle
  import shutil
  import time
  import zipfile
  from functools import partial, reduce, wraps
  from timeit import default_timer
  import dgl
  import numpy
  import pandas
  import requests
  import torch
  from ogb.nodeproppred import DglNodePropPredDataset
  import traceback
  from _thread import start_new_thread
  import torch.multiprocessing
label_desc: Use image node_id 11 for calling a global function with example usage: get_bench_device() and returns: str, device