Scheduling graduates `KubeSchedulerConfiguration` to Beta. The [KubeSchedulerConfiguration](https://kubernetes.io/docs/reference/scheduling/config) feature allows you to tune the algorithms and other settings of the kube-scheduler. You can easily enable or disable specific functionality (contained in plugins) in selected scheduling phases without having to rewrite the rest of the configuration. Furthermore, a single kube-scheduler instance can serve different configurations, called profiles. Pods can select...

* [stable] Support Attach and Detach operations for ReadWriteOnce (RWO) volumes that use iSCSI and Fibre Channel plugins.

* [stable] Expose storage usage metrics

  * The available capacity of a given Persistent Volume (PV) is available by calling the Kubernetes metrics API.

* [stable] Volume plugin metrics

	for _, usage := range dataUsageInfo.BucketsUsage {
		clusterBuckets++
		clusterSize += usage.Size
		clusterObjectsCount += usage.ObjectsCount
		clusterVersionsCount += usage.VersionsCount
		clusterDeleteMarkersCount += usage.DeleteMarkersCount
		for k, v := range usage.ObjectSizesHistogram {
			clusterObjectSizesHistogram[k] += v
		}
		for k, v := range usage.ObjectVersionsHistogram {

		Policies: []string{policy1},
		User:     accessKey,
	})
	if err != nil {
		c.Fatalf("unable to detach policy: %v", err)
	}

	// 3.2 associate policy to user
	_, err = s.adm.AttachPolicy(ctx, madmin.PolicyAssociationReq{
		Policies: []string{policy2},
		User:     accessKey,
	})
	if err != nil {
		c.Fatalf("unable to attach policy: %v", err)
	}

	// 3.3 check user can create service account implicitly.

unsigned char TF_SetXlaEnableLazyCompilation(unsigned char enable) {
  tensorflow::BuildXlaOpsPassFlags* flags =
      tensorflow::GetBuildXlaOpsPassFlags();
  bool original = flags->tf_xla_enable_lazy_compilation;
  flags->tf_xla_enable_lazy_compilation = enable;
  return original;
}

unsigned char TF_SetTfXlaCpuGlobalJit(unsigned char enable) {
  tensorflow::MarkForCompilationPassFlags* flags =
      tensorflow::GetMarkForCompilationPassFlags();

# Bring in all of the public TensorFlow interface into this
# module.

# pylint: disable=g-bad-import-order
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

        else
          echo "Ignoring --debug option as MAVEN_DEBUG_OPTS is already set"
        fi
        ;;
      --yjp)
        if [ ! -f "$YJPLIB" ]; then
          echo "Error: Unable to autodetect the YJP library location. Please set YJPLIB variable" >&2
          exit 1
        fi
        MAVEN_OPTS="-agentpath:$YJPLIB=onexit=snapshot,onexit=memory,tracing,onlylocal $MAVEN_OPTS"
        ;;

* [GCE] Enable by default audit logging truncating backend. ([#68288](https://github.com/kubernetes/kubernetes/pull/68288), [@loburm](https://github.com/loburm))

odirect                         (boolean)   set to enable or disable O_DIRECT for writes under special conditions. NOTE: do not disable O_DIRECT without prior testing (default: 'on')
root_access                     (boolean)   turn 'off' root credential access for all API calls including s3, admin operations (default: 'on')
sync_events                     (boolean)   set to enable synchronous bucket notifications (default: 'off')

    fi
fi

if [ "$REMOVE_DIRS" = "true" ]; then
    if [ -d "$PID_DIR" ]; then
        echo -n "Deleting PID directory..."
        rm -rf "$PID_DIR" && echo " OK" || echo " ERROR: unable to delete directory [$PID_DIR]"
    fi
fi

if [ "$REMOVE_USER_AND_GROUP" = "true" ]; then
    if id "$FESS_USER" > /dev/null 2>&1 ; then
        userdel "$FESS_USER"
    fi