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tf.VariableSynchronization

Indicates when a distributed variable will be synced.

Compat aliases for migration

See Migration guide for more details.

AUTO: Indicates that the synchronization will be determined by the current DistributionStrategy (eg. With MirroredStrategy this would be ON_WRITE).
NONE: Indicates that there will only be one copy of the variable, so there is no need to sync.
ON_WRITE: Indicates that the variable will be updated across devices every time it is written.
ON_READ: Indicates that the variable will be aggregated across devices when it is read (eg. when checkpointing or when evaluating an op that uses the variable).

Class Variables
AUTO	`tf.VariableSynchronization`
NONE	`tf.VariableSynchronization`
ON_READ	`tf.VariableSynchronization`
ON_WRITE	`tf.VariableSynchronization`

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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/VariableSynchronization