tf.keras.utils.OrderedEnqueuer

Builds a Enqueuer from a Sequence.

Compat aliases for migration

`tf.compat.v1.keras.utils.OrderedEnqueuer`

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

Args
`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()

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()

start(
    workers=1, max_queue_size=10
)

Starts the handler's workers.

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

stop(
    timeout=None
)

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

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

Args
`timeout`	maximum time to wait on `thread.join()`

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Last updated 2023-10-06 UTC.