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RELEASE.md
used to shard the checkpoint with a maximum shard file size. Users with advanced use cases can also write their own custom `tf.train.experimental.ShardingCallback`s. * `tf.train.CheckpointOptions` * Added `experimental_skip_slot_variables` (a boolean option) to skip restoring of optimizer slot variables in a checkpoint. * `tf.saved_model.SaveOptions`
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CHANGELOG/CHANGELOG-1.19.md
- Trace output in apiserver logs is more organized and comprehensive. Traces are nested, and for all non-long running request endpoints, the entire filter chain is instrumented (e.g. authentication check is included). ([#88936](https://github.com/kubernetes/kubernetes/pull/88936), [@jpbetz](https://github.com/jpbetz)) [SIG...
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