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/mask_rcnn/predict.py
imports: import os
  import time
  import json
  import numpy
  from PIL import Image
  import matplotlib.pyplot
  import torch
  from torchvision import transforms
  from network_files import MaskRCNN
  from backbone import resnet50_fpn_backbone
  from draw_box_utils import draw_objs
label_desc: Use image node_id 2 for calling a global function with example usage: time_synchronized() and returns: time