tf.train.start_queue_runners
tf.train.start_queue_runners
tf.train.queue_runner.start_queue_runners
tf.train.start_queue_runners
start_queue_runners( sess=None, coord=None, daemon=True, start=True, collection=tf.GraphKeys.QUEUE_RUNNERS )
Defined in tensorflow/python/training/queue_runner_impl.py
.
See the guide: Training > Coordinator and QueueRunner
Starts all queue runners collected in the graph.
This is a companion method to add_queue_runner()
. It just starts threads for all queue runners collected in the graph. It returns the list of all threads.
Args:
-
sess
:Session
used to run the queue ops. Defaults to the default session. -
coord
: OptionalCoordinator
for coordinating the started threads. -
daemon
: Whether the threads should be marked asdaemons
, meaning they don't block program exit. -
start
: Set toFalse
to only create the threads, not start them. -
collection
: AGraphKey
specifying the graph collection to get the queue runners from. Defaults toGraphKeys.QUEUE_RUNNERS
.
Raises:
-
ValueError
: ifsess
is None and there isn't any default session. -
TypeError
: ifsess
is not atf.Session
object.
Returns:
A list of threads.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/train/start_queue_runners