newPV:             testVolumeWithNodeAffinity(simpleVolumeNodeAffinity(kubeletapis.LabelOS, "bar")),
		},
		"affinity-os-beta-label-to-GA": {
			isExpectedFailure: false,
			oldPV:             testVolumeWithNodeAffinity(simpleVolumeNodeAffinity(kubeletapis.LabelOS, "bar")),
			newPV:             testVolumeWithNodeAffinity(simpleVolumeNodeAffinity(v1.LabelOSStable, "bar")),
		},

- Adds profile label to kube-scheduler metric framework_extension_point_duration_seconds ([#92268](https://github.com/kubernetes/kubernetes/pull/92268), [@alculquicondor](https://github.com/alculquicondor)) [SIG Instrumentation and Scheduling]
- Adds profile label to kube-scheduler metric schedule_attempts_total

        to a labeled dataset, in one function call. Note that it doesn't perform
        image data augmentation (which is meant to be done using preprocessing
        layers).
    *   **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
        takes you from a structured directory of text files to a labeled
        dataset, in one function call.