def start_server_if_distributed(self):
"""Starts a server if the execution is distributed."""
if self.cluster:
logging.info("%s: Starting trainer within cluster %s.",
task_as_string(self.task), self.cluster.as_dict())
server = start_server(self.cluster, self.task)
target = server.target
device_fn = tf.train.replica_device_setter(
ps_device="/job:ps",
worker_device="/job:%s/task:%d" % (self.task.type, self.task.index),
cluster=self.cluster)
else:
target = ""
device_fn = ""
return (target, device_fn)
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