tf.data.experimental.DistributeOptions

Represents options for distributed data processing.

tf.data.experimental.DistributeOptions()

You can set the distribution options of a dataset through the experimental_distribute property of tf.data.Options; the property is an instance of tf.data.experimental.DistributeOptions.

options = tf.data.Options()
options.experimental_distribute.auto_shard_policy = tf.data.experimental.AutoShardPolicy.OFF
dataset = dataset.with_options(options)

auto_shard_policy The type of sharding to use. See tf.data.experimental.AutoShardPolicy for additional information.
num_devices The number of devices attached to this input pipeline. This will be automatically set by MultiDeviceIterator.

Methods

__eq__

View source

__eq__(
    other
)

Return self==value.

__ne__

View source

__ne__(
    other
)

Return self!=value.