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  1. RELEASE.md

            to datasets that end in synchronous transformations. This enables data
            generation to be overlapped with data consumption. This may cause a
            small increase in memory usage due to buffering. To enable this
            behavior, set `inject_prefetch=True` in
            `tf.data.experimental.OptimizationOptions`.
        *   Added a new value to `tf.data.Options.autotune.autotune_algorithm`:
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  2. common-protos/k8s.io/api/core/v1/generated.proto

      // +optional
      optional string restartPolicy = 3;
    
      // Optional duration in seconds the pod needs to terminate gracefully. May be decreased in delete request.
      // Value must be non-negative integer. The value zero indicates stop immediately via
      // the kill signal (no opportunity to shut down).
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