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_segmentation/unet/predict.py
imports: import os
  import time
  import torch
  from torchvision import transforms
  import numpy
  from PIL import Image
  from src import UNet
label_desc: Use image node_id 1 for calling a global function with example usage: time_synchronized() and returns: time