tf.VariableSynchronization
Stay organized with collections
Save and categorize content based on your preferences.
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).
Class Variables
AUTO NONE ON_READ ON_WRITE
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.
Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub