- kubeadm: `kubeadm upgrade node` now supports `addon` and `post-upgrade` phases. Users can use `kubeadm upgrade node phase addon` to execute the addon upgrade, or use `kubeadm upgrade node --skip-phases addon` to skip the addon upgrade. If you were previously skipping an addon subphase on `kubeadm init` you should now skip the same addon when calling `kubeadm upgrade apply` and `kubeadm upgrade node`. Currently, the `post-upgrade` phase is...

- kubeadm: if an addon is disabled in the ClusterConfiguration, skip it during upgrade. ([#129418](https://github.com/kubernetes/kubernetes/pull/129418), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

		loi.NextMarker = opts.encodeMarker(last.Name)
		loi.NextVersionIDMarker = last.VersionID
	}
	return loi, nil
}

func maxKeysPlusOne(maxKeys int, addOne bool) int {
	if maxKeys < 0 || maxKeys > maxObjectList {
		maxKeys = maxObjectList
	}
	if addOne {
		maxKeys++
	}
	return maxKeys
}

- Kubeadm: Removed the deprecated `UpgradeAddonsBeforeControlPlane` feature gate; Ensured that the upgrade of the CoreDNS and kube-proxy addons would not be triggered until all the control plane instances were upgraded. ([#124715](https://github.com/kubernetes/kubernetes/pull/124715), [@SataQiu](https://github.com/SataQiu))

*   `tf.contrib`:

    *   `tf.contrib` has been deprecated, and functionality has been either
        migrated to the core TensorFlow API, to an ecosystem project such as
        [tensorflow/addons](https://www.github.com/tensorflow/addons) or
        [tensorflow/io](https://www.github.com/tensorflow/io), or removed
        entirely.
    *   Remove `tf.contrib.timeseries` dependency on TF distributions.