tf.keras.utils.GeneratorEnqueuer

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Builds a queue out of a data generator.

Inherits From: SequenceEnqueuer

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.utils.GeneratorEnqueuer

tf.keras.utils.GeneratorEnqueuer(
    sequence, use_multiprocessing=False, random_seed=None
)

The provided generator can be finite in which case the class will throw a StopIteration exception.

Used in fit_generator, evaluate_generator, predict_generator.

Arguments
generator	a generator function which yields data
use_multiprocessing	use multiprocessing if True, otherwise threading
wait_time	time to sleep in-between calls to put()
random_seed	Initial seed for workers, will be incremented by one for each worker.

Methods

get

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get()

Creates a generator to extract data from the queue.

Skip the data if it is None.

Yields
The next element in the queue, i.e. a tuple (inputs, targets) or (inputs, targets, sample_weights).

is_running

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is_running()

start

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start(
    workers=1, max_queue_size=10
)

Starts the handler's workers.

Arguments
workers	Number of workers.
max_queue_size	queue size (when full, workers could block on put())

stop

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stop(
    timeout=None
)

Stops running threads and wait for them to exit, if necessary.

Should be called by the same thread which called start().

Arguments
timeout	maximum time to wait on thread.join()