old_contents: # Copyright 2020 The TensorFlow 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.
  # ==============================================================================
  """Run a tf.data service server."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  
  flags = tf.compat.v1.app.flags
  
  flags.DEFINE_integer("port", 0, "Port to listen on")
  flags.DEFINE_bool("is_dispatcher", False, "Whether to start a dispatcher (as opposed to a worker server")
  flags.DEFINE_string("dispatcher_address", "", "The address of the dispatcher. This is only needed when starting a worker server.")
  flags.DEFINE_string("worker_address", "", "The address of the worker server. This is only needed when starting a worker server.")
  
  FLAGS = flags.FLAGS
  
  
  def main(unused_argv):
    if FLAGS.is_dispatcher:
      print("Starting tf.data service dispatcher")
      server = tf.data.experimental.service.DispatchServer(
          port=FLAGS.port,
          protocol="grpc")
    else:
      print("Starting tf.data service worker")
      server = tf.data.experimental.service.WorkerServer(
          port=FLAGS.port,
          protocol="grpc",
          dispatcher_address=FLAGS.dispatcher_address,
          worker_address=FLAGS.worker_address)
    server.join()
  
  
  if __name__ == "__main__":
    tf.compat.v1.app.run()
  
new_contents: # Copyright 2020 The TensorFlow 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.
  # ==============================================================================
  """Run a tf.data service server."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import tensorflow as tf
  
  flags = tf.compat.v1.app.flags
  
  flags.DEFINE_integer("port", 0, "Port to listen on")
  flags.DEFINE_bool("is_dispatcher", False, "Whether to start a dispatcher (as opposed to a worker server")
  flags.DEFINE_string("dispatcher_address", "", "The address of the dispatcher. This is only needed when starting a worker server.")
  flags.DEFINE_string("worker_address", "", "The address of the worker server. This is only needed when starting a worker server.")
  
  FLAGS = flags.FLAGS
  
  
  def main(unused_argv):
    if FLAGS.is_dispatcher:
      print("Starting tf.data service dispatcher")
      server = tf.data.experimental.service.DispatchServer(
          tf.data.experimental.service.DispatcherConfig(
              port=FLAGS.port,
              protocol="grpc"))
    else:
      print("Starting tf.data service worker")
      server = tf.data.experimental.service.WorkerServer(
          tf.data.experimental.service.WorkerConfig(
              port=FLAGS.port,
              protocol="grpc",
              dispatcher_address=FLAGS.dispatcher_address,
              worker_address=FLAGS.worker_address))
    server.join()
  
  
  if __name__ == "__main__":
    tf.compat.v1.app.run()
  
subject: Update tf_std_data_server to use new server config argument (#170)