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/train_coco_dataset/predict.py
imports: import os
  import time
  import json
  import torch
  import torchvision
  from PIL import Image
  import matplotlib.pyplot
  from torchvision import transforms
  from torchvision.models.feature_extraction import create_feature_extractor
  from network_files import FasterRCNN, AnchorsGenerator
  from backbone import vgg, MobileNetV2, resnet50
  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