"type": "string"
          },
          "remainingItemCount": {

        "properties": {
          "items": {

}

def TF_CollectiveAllToAllV2Op : TF_Op<"CollectiveAllToAllV2", [DeclareOpInterfaceMethods<TF_GetResourceInstanceInterface>, TF_CollectiveReduceOrderingEffect]> {
  let summary = [{
Mutually exchanges multiple tensors of identical type and shape.
  }];

  let description = [{
`is_stateless` means each op does not need control dependencies to other
collective ops. In this case, keys that are unique at runtime

    * Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask.
 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.

		{"Error.Soft", Field, 5},
		{"Eval", Func, 5},
		{"ExprString", Func, 5},
		{"FieldVal", Const, 5},
		{"Float32", Const, 5},
		{"Float64", Const, 5},
		{"Func", Type, 5},
		{"Id", Func, 5},
		{"Identical", Func, 5},
		{"IdenticalIgnoreTags", Func, 8},
		{"Implements", Func, 5},
		{"ImportMode", Type, 6},
		{"Importer", Type, 5},
		{"ImporterFrom", Type, 6},
		{"Info", Type, 5},

				TerminationMessagePolicy: "File",
			},
		}}),
		makeWindowsHostPod(nil),
		"spec.ephemeralContainers[0].securityContext.windowsOptions.hostProcess: Invalid value: false: pod hostProcess value must be identical",
	}, {
		"Add ephemeral container to static pod",
		func() *core.Pod {
			p := makePod(nil)
			p.Spec.NodeName = "some-name"
			p.ObjectMeta.Annotations = map[string]string{