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TensorFlow 1 version
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View source on GitHub
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Builds a queue out of a data generator.
Inherits From: SequenceEnqueuer
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
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).
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is_running
is_running()
start
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())
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stop
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()
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