bucket,
		)

		for k, v := range usageInfo.ObjectSizesHistogram {
			ch <- prometheus.MustNewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(bucketNamespace, "objects", "histogram"),
					"Total number of objects of different sizes in a bucket",
					[]string{"bucket", "object_size"}, nil),
				prometheus.GaugeValue,
				float64(v),
				bucket,
				k,
			)
		}

- Enables Prometheus native histogram support in kube-proxy when feature gate is enabled.
  Histograms are exposed in both classic and native formats using exponential bucket configuration (factor=1.1, max buckets=160) ([#137781](https://github.com/kubernetes/kubernetes/pull/137781), [@richabanker](https://github.com/richabanker)) [SIG Network]
- Enables Prometheus native histogram support in kubelet when feature gate is enabled.

    - `scheduler_async_api_call_execution_total`: tracks executed API calls by call type and result (success/error)
    - `scheduler_async_api_call_duration_seconds`: histogram of API call execution duration by call type and result

*   `tf.keras`:

    *   Changed the TensorBoard tag names produced by the
        `tf.keras.callbacks.TensorBoard` callback, so that summaries logged
        automatically for model weights now include either a `/histogram` or
        `/image` suffix in their tag names, in order to prevent tag name
        collisions across summary types.

*   When running on GPU (with cuDNN version 7.6.3 or