text: #
  # Copyright (c) 2018 Intel Corporation
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  import argparse
  import distiller
  import distiller.pruning
  import distiller.models as models
  
  
  def add_cmdline_args(parser):
      parser.add_argument('--save-untrained-model',  action='store_true', default=False,
                          help='Save the randomly-initialized model before training (useful for lottery-ticket method)')
      parser.add_argument('--earlyexit_lossweights', type=float, nargs='*', dest='earlyexit_lossweights', default=None,
                          help='List of loss weights for early exits (e.g. --earlyexit_lossweights 0.1 0.3)')
      parser.add_argument('--earlyexit_thresholds', type=float, nargs='*', dest='earlyexit_thresholds', default=None,
                          help='List of EarlyExit thresholds (e.g. --earlyexit_thresholds 1.2 0.9)')
      distiller.knowledge_distillation.add_distillation_args(parser, models.ALL_MODEL_NAMES, True)
      distiller.pruning.greedy_filter_pruning.add_greedy_pruner_args(parser)
      return parser
  