code: def remove_model(
      nnet_dir,
      iter,
      num_iters,
      models_to_combine=None,
      preserve_model_interval=100,
      get_raw_nnet_from_am=True,
  ):
      if iter % preserve_model_interval == 0:
          return
      if models_to_combine is not None and iter in models_to_combine:
          return
      if get_raw_nnet_from_am:
          file_name = "{0}/{1}.mdl".format(nnet_dir, iter)
      else:
          file_name = "{0}/{1}.raw".format(nnet_dir, iter)
  
      if os.path.isfile(file_name):
          os.remove(file_name)
  
imports: from __future__ import division
  import argparse
  import glob
  import logging
  import os
  import math
  import re
  import shutil
  import libs.common
  from libs.nnet3.train.dropout_schedule import *
  import unittest
label_desc: Use image node_id 25 for calling a global function with example usage: remove_model(nnet_dir, iter, num_iters, models_to_combine, preserve_model_interval, get_raw_nnet_from_am) without return types