TensorFlow 1 version | View source on GitHub |
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)
.
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() )
|
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()
|