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Represents options for distributed data processing.

You can set the distribution options of a dataset through the experimental_distribute property of; the property is an instance of

options =
options.experimental_distribute.auto_shard = False
dataset = dataset.with_options(options)


  • auto_shard: Whether the dataset should be automatically sharded when processedin a distributed fashion. This is applicable when using Keras with multi-worker/TPU distribution strategy, and by using strategy.experimental_distribute_dataset(). In other cases, this option does nothing. If None, defaults to True.
  • num_devices: The number of devices attached to this input pipeline. This will be automatically set by MultiDeviceIterator.



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Return self==value.


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Return self!=value.