tf.VariableSynchronization

Indicates when a distributed variable will be synced.

  • 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).

    Example:

>>> temp_grad=[tf.Variable([0.], trainable=False, ...                      synchronization=tf.VariableSynchronization.ON_READ, ...                      aggregation=tf.VariableAggregation.MEAN ...                      )]

AUTO <VariableSynchronization.AUTO: 0>
NONE <VariableSynchronization.NONE: 1>
ON_READ <VariableSynchronization.ON_READ: 3>
ON_WRITE <VariableSynchronization.ON_WRITE: 2>