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tf.keras.utils.OrderedEnqueuer
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.Sequenceobject. | 
| use_multiprocessing | use multiprocessing if True, otherwise threading | 
| shuffle | whether to shuffle the data at the beginning of each epoch | 
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() | 
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/utils/OrderedEnqueuer