tf.train.start_queue_runners(sess=None, coord=None, daemon=True, start=True, collection=tf.GraphKeys.QUEUE_RUNNERS)

tf.train.queue_runner.start_queue_runners(sess=None, coord=None, daemon=True, start=True, collection=tf.GraphKeys.QUEUE_RUNNERS)

tf.train.start_queue_runners(sess=None, coord=None, daemon=True, start=True, collection=tf.GraphKeys.QUEUE_RUNNERS)

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: Optional Coordinator for coordinating the started threads.
• daemon: Whether the threads should be marked as daemons, meaning they don't block program exit.
• start: Set to False to only create the threads, not start them.
• collection: A GraphKey specifying the graph collection to get the queue runners from. Defaults to GraphKeys.QUEUE_RUNNERS.

Returns:

A list of threads.

Defined in tensorflow/python/training/queue_runner_impl.py.