code: def time_synchronized():
      torch.cuda.synchronize() if torch.cuda.is_available() else None
      return time.time()
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/yolov3_spp/build_utils/torch_utils.py
imports: import math
  import time
  from copy import deepcopy
  import torch
  import torch.backends.cudnn
  import torch.nn
label_desc: Use image node_id 2 for calling a global function with example usage: time_synchronized() and returns: time