code: def _adadelta_eps_decay(trainer, eps_decay):
      optimizer = trainer.updater.get_optimizer("main")
      # for chainer
      if hasattr(optimizer, "eps"):
          current_eps = optimizer.eps
          setattr(optimizer, "eps", current_eps * eps_decay)
          logging.info("adadelta eps decayed to " + str(optimizer.eps))
      # pytorch
      else:
          for p in optimizer.param_groups:
              p["eps"] *= eps_decay
              logging.info("adadelta eps decayed to " + str(p["eps"]))
  
imports: import argparse
  import copy
  import json
  import logging
  import os
  import shutil
  import tempfile
  import numpy
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: _adadelta_eps_decay(trainer, eps_decay) without return types