- Kube-controller-manager and kube-scheduler expose profiling by default to match the kube-apiserver.  Use `--profiling=false` to disable. ([#88663](https://github.com/kubernetes/kubernetes/pull/88663), [@deads2k](https://github.com/deads2k)) [SIG API Machinery, Cloud Provider and Scheduling]

    formats during training, improving performance by up to 3x on GPUs and 60%
    on TPUs. Please see below for additional details.

*   TensorFlow Profiler now supports profiling `MultiWorkerMirroredStrategy` and
    tracing multiple workers using the
    [sampling mode API](https://www.tensorflow.org/guide/profiler#profiling_apis).

*   TFLite Profiler for Android is available. See the detailed

                            nullable: true
                            type: boolean
                          match:
                            description: Match allows providing the scope of the override.
                            oneOf:
                            - not:
                                anyOf:
                                - required: