tf.VariableSynchronization
| View source on GitHub |
Indicates when a distributed variable will be synced.
-
AUTO: Indicates that the synchronization will be determined by the currentDistributionStrategy(eg. WithMirroredStrategythis would beON_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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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/VariableSynchronization