tf.train.start_queue_runners

Aliases:

  • tf.train.queue_runner.start_queue_runners
  • tf.train.start_queue_runners
tf.train.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 guides: Reading data > QueueRunner, Threading and Queues > Queue usage overview, 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.

Raises:

  • ValueError: if sess is None and there isn't any default session.
  • TypeError: if sess is not a tf.Session object.

Returns:

A list of threads.

Raises:

  • RuntimeError: If called with eager execution enabled.
  • ValueError: If called without a default tf.Session registered.

Eager Compatibility

Not compatible with eager execution. To ingest data under eager execution, use the tf.data API instead.