code: def __exit__(self, type, value, traceback):
      if self.device == "cuda:0":
          self.end_event.record()
          torch.cuda.synchronize()  # Wait for the events to be recorded!
          self.elapsed_secs = (
              self.start_event.elapsed_time(self.end_event) / 1e3
          )
      else:
          self.elapsed_secs = self.timer() - self.tic
  
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 3 for calling the Timer obj's underlying member method code with example usage: obj.__exit__(type, value, traceback) without return types