tf.keras.utils.OrderedEnqueuer

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Builds a Enqueuer from a Sequence.

Inherits From: SequenceEnqueuer

tf.keras.utils.OrderedEnqueuer(
    sequence, use_multiprocessing=False, shuffle=False
)

Used in fit_generator, evaluate_generator, predict_generator.

Arguments:

• sequence: A tf.keras.utils.data_utils.Sequence object.
• use_multiprocessing: use multiprocessing if True, otherwise threading
• shuffle: whether to shuffle the data at the beginning of each epoch

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()