train_embedding.py 文件源码

def start_server(cluster, task):
  """Creates a Server.

  Args:
    cluster: A tf.train.ClusterSpec if the execution is distributed.
      None otherwise.
    task: A TaskSpec describing the job type and the task index.
  """

  if not task.type:
    raise ValueError("%s: The task type must be specified." %
                     task_as_string(task))
  if task.index is None:
    raise ValueError("%s: The task index must be specified." %
                     task_as_string(task))

  # Create and start a server.
  return tf.train.Server(
      tf.train.ClusterSpec(cluster),
      protocol="grpc",
      job_name=task.type,
      task_index=task.index)