tf.keras.utils.GeneratorEnqueuer

Builds a queue out of a data generator.

Compat aliases for migration

See Migration guide for more details.

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()

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.

Arguments
`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().

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