code: def worker_init_fn(id_):
      lg = rdkit.RDLogger.logger()
      lg.setLevel(rdkit.RDLogger.CRITICAL)
  
file_path: dgl/examples/pytorch/jtnn/vaetrain_dgl.py
imports: import math
  import random
  import sys
  from collections import deque
  from optparse import OptionParser
  import rdkit
  import torch
  import torch.nn
  import torch.optim
  import torch.optim.lr_scheduler
  import tqdm
  from jtnn import *
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: worker_init_fn(id_) without return types