`CategoryEncoding`, `StringLookup`, `IntegerLookup`, and
            `TextVectorization`. Multi-hot encoding will no longer automatically
            uprank rank 1 inputs, so these layers can now multi-hot encode
            unbatched multi-dimensional samples.
        *   Added a new output mode `"one_hot"` for `CategoryEncoding`,

		}, {
			name: "valid, single ip, multi ipfamilies",
			tweakSvc: func(s *core.Service) {
				s.Spec.IPFamilyPolicy = &requireDualStack
				s.Spec.ClusterIP = "10.0.0.1"
				s.Spec.ClusterIPs = []string{"10.0.0.1"}
				s.Spec.IPFamilies = []core.IPFamily{core.IPv4Protocol, core.IPv6Protocol}
			},
			numErrs: 0,
		}, {
			name: "valid, multi ips, multi ipfamilies (4,6)",

  let summary = "A container for a multi device iterator resource.";

  let arguments = (ins
    ConfinedAttr<StrArrayAttr, [ArrayMinCount<1>]>:$devices,
    ConfinedAttr<TypeArrayAttr, [ArrayMinCount<1>]>:$output_types,
    ConfinedAttr<TF_ShapeAttrArray, [ArrayMinCount<1>]>:$output_shapes
  );

  let results = (outs
    Res<TF_ResourceTensor, [{A handle to a multi device iterator that can be passed to a