code: def get_num_gpu():
      import multiprocessing as mp
  
      q = mp.Queue()
      p = mp.Process(target=_cuda_device_count, args=(q,))
      p.start()
      p.join()
      return q.get(block=False)
  
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 19 for calling a global function with example usage: get_num_gpu() and returns: q