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Results 1 - 1 of 1 for AutoShardPolicy (0.08 sec)

  1. RELEASE.md

            `DYNAMIC` (equivalent to today's `"distributed_epoch"` mode), or one of
            the static sharding policies: `FILE`, `DATA`, `FILE_OR_DATA`, or `HINT`
            (corresponding to values of `tf.data.experimental.AutoShardPolicy`).
    
            Static sharding (auto-sharding) requires the number of tf.data service
            workers be fixed. Users need to specify the worker addresses in
            `tensorflow.data.experimental.DispatcherConfig`.
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
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