tf.VariableSynchronization

TensorFlow 1 version

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Indicates when a distributed variable will be synced.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.VariableSynchronization

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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tf / VariableSynchronization

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Class Variables