1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all

      self.base(title, targets, desc)
      + timeSeries.standardOptions.withUnit('s')
      + custom.withDrawStyle('bars')
      + timeSeries.standardOptions.withOverrides([
        fieldOverride.byRegexp.new('/mean/i')
        + fieldOverride.byRegexp.withProperty(
          'custom.fillOpacity',
          0
        )
        + fieldOverride.byRegexp.withProperty(
          'custom.lineStyle',
          {

	obj.Disabled = false
}

func fuzzComponentConfigMap(obj *kubeadm.ComponentConfigMap, c fuzz.Continue) {
	// This is intentionally empty because component config does not exists in the public api
	// (empty mean all ComponentConfigs fields nil, and this is necessary for getting roundtrip passing)
}

func fuzzLocalEtcd(obj *kubeadm.LocalEtcd, c fuzz.Continue) {
	c.FuzzNoCustom(obj)

                                                    input_element_type);

      // The mean, variance, and reserved space outputs of the batch norm op are
      // not used for inference. It doesn't matter what values we provide for
      // the last 5 results as long as they are of the same type. Forward
      // input mean and variance to output mean, variance, reserved_space_1 and
      // reserved_space_2.

Contrast is adjusted independently for each channel of each image.

For each channel, the Op first computes the mean of the image pixels in the
channel and then adjusts each component of each pixel to
`(x - mean) * contrast_factor + mean`.
  }];

  let arguments = (ins
    Arg<TensorOf<[TF_Float16, TF_Float32]>, [{Images to adjust.  At least 3-D.}]>:$images,

Ignoring dependencies will have the following effects:

* An ignored dependency applies to all locked configurations. The setting is project scoped.
* Ignoring a dependency does not mean lock state ignores its transitive dependencies.
* There is no validation that an ignored dependency is present in any configuration resolution.
* If the dependency is present in lock state, loading it will filter out the dependency.

red","value":80}]},"unit":"ops"},"overrides":[]},"gridPos":{"h":3,"w":6,"x":0,"y":3},"id":20,"links":[],"maxDataPoints":100,"options":{"colorMode":"none","graphMode":"area","justifyMode":"auto","orientation":"horizontal","reduceOptions":{"calcs":["mean"],"fields":"","values":false},"textMode":"auto"},"pluginVersion":"10.1.5","targets":[{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"round(sum(irate(istio_requests_total{reporter=\"source\"}[1m])), 0.001)","intervalFactor":1,"ref...

}

func.func @mean(%arg0: tensor<2x2xf32>, %arg1: tensor<1xi32>) -> tensor<1x2xf32> {
  %0 = "tf.Mean"(%arg0, %arg1) : (tensor<2x2xf32>, tensor<1xi32>) -> tensor<1x2xf32>
  func.return %0 : tensor<1x2xf32>

// CHECK-LABEL: mean
// CHECK:  "tfl.mean"(%arg0, %arg1) <{keep_dims = false}> : (tensor<2x2xf32>, tensor<1xi32>) -> tensor<1x2xf32>
}

	// is very heavy-weight and not easy to stop, so we could end up
	// confusing the benchmarking framework for small b.N.
	b.StopTimer()
	stop()

	// Disable the default */op metrics.
	// ns/op doesn't mean anything because it's an average, but we
	// have a sleep in our b.N loop above which skews this significantly.
	b.ReportMetric(0, "ns/op")
	b.ReportMetric(0, "B/op")
	b.ReportMetric(0, "allocs/op")

	)
}

// EnsureAdminClusterRoleBindingImpl first attempts to see if the ClusterRoleBinding
// kubeadm:cluster-admins exists by using adminClient. If it already exists,
// it would mean the adminClient is usable. If it does not, attempt to create
// the ClusterRoleBinding by using superAdminClient.
func EnsureAdminClusterRoleBindingImpl(ctx context.Context, adminClient, superAdminClient clientset.Interface,