"description": "MinDomains indicates a minimum number of eligible domains. When the number of eligible domains with matching topology keys is less than minDomains, Pod Topology Spread treats \"global minimum\" as 0, and then the calculation of Skew is performed. And when the number of eligible domains with matching topology keys equals or greater than minDomains, this value has no effect on scheduling. As a result, when the number of eligible domains is less than minDomains,...

In Kubernetes 1.19 this feature will be enabled by default with kube-proxy reading from EndpointSlices instead of Endpoints. Although this will mostly be an invisible change, it should result in noticeable scalability improvements in large clusters. It will also enable significant new features in future Kubernetes releases like Topology Aware Routing.

                - name: ISTIO_META_CLUSTER_ID
                  value: "{{ valueOrDefault .Values.global.multiCluster.clusterName `Kubernetes` }}"
                {{- $network := valueOrDefault (index .InfrastructureLabels `topology.istio.io/network`) .Values.global.network }}
                {{- if $network }}
                - name: ISTIO_META_NETWORK
                  value: "{{ $network }}"
                {{- end }}

	for _, term := range terms {
		matchExpressions := []core.NodeSelectorRequirement{}
		for _, topology := range term {
			matchExpressions = append(matchExpressions, core.NodeSelectorRequirement{
				Key:      topology.key,
				Operator: core.NodeSelectorOpIn,
				Values:   []string{topology.value},
			})
		}
		nodeSelectorTerms = append(nodeSelectorTerms, core.NodeSelectorTerm{

    DefaultValuedOptionalAttr<I64Attr, "0">:$tpu_cancellation_closes_chips
  );

  let results = (outs
    Res<TF_StrTensor, [{A serialized tensorflow.tpu.TopologyProto that describes the TPU
topology.}]>:$topology
  );
}

def TF_ConfigureTPUEmbeddingOp : TF_Op<"ConfigureTPUEmbedding", []> {
  let summary = "Sets up TPUEmbedding in a distributed TPU system.";

  let arguments = (ins