RSVP for your your local TensorFlow Everywhere event today!

TensorFlow 2 version View source on GitHub

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.



View source

Return self==value.


View source

Return self!=value.