}
    ```

    will be transformed into:

    ```mlir
    func.func @single_state_single_dataset_type_no_arguments(%arg0: tensor<!tf_type.variant>, %arg1: tensor<i64>) {
      %0 = "tf.AnonymousIteratorV3"() {output_shapes = [#tf_type.shape<32>], output_types = [f32]} : () -> tensor<!tf_type.resource>
      "tf.MakeIterator"(%arg0, %0) : (tensor<!tf_type.variant>, tensor<!tf_type.resource>) -> ()

container.}], [TF_DatasetIteratorAlloc]>:$handle,
    Res<TF_VariantTensor, [{A variant deleter that should be passed into the op that deletes the iterator.}]>:$deleter
  );
}

def TF_AnonymousIteratorV3Op : TF_Op<"AnonymousIteratorV3", [TF_UniqueResourceAllocation]> {
  let summary = "A container for an iterator resource.";

  let arguments = (ins
    ConfinedAttr<TypeArrayAttr, [ArrayMinCount<1>]>:$output_types,