behavior, set `inject_prefetch=True` in
        `tf.data.experimental.OptimizationOptions`.
    *   Added a new value to `tf.data.Options.autotune.autotune_algorithm`:
        `STAGE_BASED`. If the autotune algorithm is set to `STAGE_BASED`, then
        it runs a new algorithm that can get the same performance with lower
        CPU/memory usage.
    *   Added

- Reverted devicemanager for Windows node added in 1.19rc1. ([#93263](https://github.com/kubernetes/kubernetes/pull/93263), [@liggitt](https://github.com/liggitt)) [SIG Node and Windows]
- Scheduler v1 Policy config or algorithm-provider settings can now be passed alongside v1beta1 ComponentConfig to aid transition from Policy to CC ([#92531](https://github.com/kubernetes/kubernetes/pull/92531), [@damemi](https://github.com/damemi)) [SIG Scheduling]

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