tf.distribute.InputReplicationMode

Replication mode for input function.

Compat aliases for migration

See Migration guide for more details.

PER_WORKER: The input function will be called on each worker independently, creating as many input pipelines as number of workers. Replicas will dequeue from the local Dataset on their worker. tf.distribute.Strategy doesn't manage any state sharing between such separate input pipelines.
PER_REPLICA: The input function will be called on each replica seperately. tf.distribute.Strategy doesn't manage any state sharing between such separate input pipelines.

Class Variables
PER_REPLICA	`tf.distribute.InputReplicationMode`
PER_WORKER	`tf.distribute.InputReplicationMode`

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2021-02-18 UTC.

Class Variables