*   `tf.distribute.experimental.MultiWorkerMirroredStrategy` adds support for
    partial batches. Workers running out of data now continue to participate in
    the training with empty inputs, instead of raising an error. Learn more
    about
    [partial batches here](https://www.tensorflow.org/tutorials/distribute/input#partial_batches).
*   Improve the performance of reading metrics eagerly under

- Kubeadm: deprecate the feature `--experimental-kustomize` in favor of `--experimental-patches`. The supported patch formats are the same as "kubectl patch". They are read as files from a directory and can be applied to kubeadm components during init/join/upgrade. Only patching of static Pods is supported for the time being. ([#92017](https://github.com/kubernetes/kubernetes/pull/92017),...

            properties:
              configPatches:
                description: One or more patches with match conditions.
                items:
                  properties:
                    applyTo:
                      description: |-
                        Specifies where in the Envoy configuration, the patch should be applied.

            properties:
              configPatches:
                description: One or more patches with match conditions.
                items:
                  properties:
                    applyTo:
                      description: |-
                        Specifies where in the Envoy configuration, the patch should be applied.