code: def worker_init_fn(worker_id):
      random.seed(args.manual_seed + worker_id)
  
imports: import os
  import random
  import time
  import cv2
  import numpy
  import logging
  import argparse
  import torch
  import torch.backends.cudnn
  import torch.nn
  import torch.nn.functional
  import torch.nn.parallel
  import torch.optim
  import torch.utils.data
  import torch.multiprocessing
  import torch.distributed
  from tensorboardX import SummaryWriter
  from model.PFENet import PFENet
  from util import dataset
  from util import transform, config
  from util.util import AverageMeter, poly_learning_rate, intersectionAndUnionGPU
label_desc: Use image node_id 3 for calling a global function with example usage: worker_init_fn(worker_id) without return types