anyOf:
                              - required:
                                - simple
                              - required:
                                - consistentHash
                          - required:
                            - simple
                          - required:
                            - consistentHash
                          properties:

                              anyOf:
                              - required:
                                - simple
                              - required:
                                - consistentHash
                          - required:
                            - simple
                          - required:
                            - consistentHash
                          properties:

                              anyOf:
                              - required:
                                - simple
                              - required:
                                - consistentHash
                          - required:
                            - simple
                          - required:
                            - consistentHash
                          properties:

			TopologyKey:       "k8s.io/zone",
			LabelSelector:     &metav1.LabelSelector{},
			WhenUnsatisfiable: core.DoNotSchedule,
			MatchLabelKeys:    []string{"/simple"},
		}},
		wantFieldErrors: field.ErrorList{field.Invalid(fieldPathMatchLabelKeys.Index(0), "/simple", "prefix part must be non-empty")},
	}, {
		name: "key exists in both matchLabelKeys and labelSelector",
		constraints: []core.TopologySpreadConstraint{{

Class <org.gradle.api.internal.artifacts.ivyservice.resolveengine.excludes.simple.DefaultExcludeNothing> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (DefaultExcludeNothing.java:0)

        -  The API may be available in the public Keras API under a different name, so make sure to look for it on keras.io or TensorFlow docs and switch to the public version.
        -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!
        -  If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.

def TF_CrossOp : TF_Op<"Cross", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
  let summary = "Compute the pairwise cross product.";

  let description = [{
`a` and `b` must be the same shape; they can either be simple 3-element vectors,
or any shape where the innermost dimension is 3. In the latter case, each pair
of corresponding 3-element vectors is cross-multiplied independently.
  }];

  let arguments = (ins

		{"Regexp.Min", Field, 0},
		{"Regexp.Name", Field, 0},
		{"Regexp.Op", Field, 0},
		{"Regexp.Rune", Field, 0},
		{"Regexp.Rune0", Field, 0},
		{"Regexp.Sub", Field, 0},
		{"Regexp.Sub0", Field, 0},
		{"Simple", Const, 0},
		{"UnicodeGroups", Const, 0},
		{"WasDollar", Const, 0},
	},
	"runtime": {
		{"(*BlockProfileRecord).Stack", Method, 1},
		{"(*Frames).Next", Method, 7},
		{"(*Func).Entry", Method, 0},