text: # Copyright 2020 The FedLearner Authors. All Rights Reserved.
  #
  # 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.
  
  # coding: utf-8
  # pylint: disable=unused-import
  
  import argparse
  import tensorflow.compat.v1 as tf
  
  from fedlearner.trainer import operator
  
  
  if __name__ == '__main__':
      parser = argparse.ArgumentParser(description='FedLearner Parameter Server.')
      parser.add_argument('address', type=str,
                          help='Listen address of the parameter server, ' \
                               'with format [IP]:[PORT]')
      args = parser.parse_args()
  
      config = tf.ConfigProto()
      config.rpc_options.compression_algorithm = 'gzip'
      config.rpc_options.cache_rpc_response = True
  
      cluster_spec = tf.train.ClusterSpec({'local': {0: args.address}})
      server = tf.train.Server(cluster_spec,
                               job_name='local',
                               task_index=0,
                               config=config)
      server.join()
  