- The scheduler prints info logs when the extender returned an error. (`--v>5`) ([#107974](https://github.com/kubernetes/kubernetes/pull/107974), [@sanposhiho](https://github.com/sanposhiho))
- The script `cluster/gce/gci/configure.sh` now supports downloading `crictl` on ARM64 nodes ([#108034](https://github.com/kubernetes/kubernetes/pull/108034), [@tstapler](https://github.com/tstapler))

- Forbid to set matchLabelKeys when labelSelector is not set in topologySpreadConstraints ([#116535](https://github.com/kubernetes/kubernetes/pull/116535), [@denkensk](https://github.com/denkensk))
- GCE does not support LoadBalancer Services with ports with different protocols (TCP and UDP) ([#115966](https://github.com/kubernetes/kubernetes/pull/115966), [@aojea](https://github.com/aojea)) [SIG Apps and Cloud Provider]

      "description": "Represents a Persistent Disk resource in Google Compute Engine.\n\nA GCE PD must exist before mounting to a container. The disk must also be in the same GCE project and zone as the kubelet. A GCE PD can only be mounted as read/write once or read-only many times. GCE PDs support ownership management and SELinux relabeling.",
      "properties": {
        "fsType": {

      "description": "Represents a Persistent Disk resource in Google Compute Engine.\n\nA GCE PD must exist before mounting to a container. The disk must also be in the same GCE project and zone as the kubelet. A GCE PD can only be mounted as read/write once or read-only many times. GCE PDs support ownership management and SELinux relabeling.",
      "properties": {
        "fsType": {

				field:  "path",
				detail: "must not contain '..'",
			}},
		},
		// GcePersistentDisk
		{
			name: "valid GcePersistentDisk",
			vol: core.Volume{
				Name: "gce-pd",
				VolumeSource: core.VolumeSource{
					GCEPersistentDisk: &core.GCEPersistentDiskVolumeSource{
						PDName:    "my-PD",
						FSType:    "ext4",
						Partition: 1,
						ReadOnly:  false,
					},

    *   Integrate `TPUClusterResolver` with GKE's integration for Cloud TPUs.
    *   Add a library for statistical testing of samplers.
    *   Add Helpers to stream data from the GCE VM to a Cloud TPU.
    *   Integrate ClusterResolvers with TPUEstimator.
    *   Unify metropolis_hastings interface with HMC kernel.
    *   Move LIBXSMM convolutions to a separate --define flag so that they are