/*arg_to_input_edge_offset=*/0,
                                      data_types, outside_compilation_nodes, g,
                                      n);

  // In body_graph, create new _Arg/_Retval nodes, and replace lifted arg
  // nodes with the new _Arg nodes.
  std::vector<Node*> lifted_arg_nodes;
  lifted_arg_nodes.reserve(
      lifted_arg_nodes_and_outside_compilation_nodes.size());

  Type element_type = getElementTypeOrSelf(dst_type);
  if (mlir::isa<IndexType>(element_type))
    return b.create<tensor::CastOp>(loc, dst_type, input);
  if (isa<TensorFlowDialect, BuiltinDialect>(element_type.getDialect()))
    return b.create<TF::CastOp>(loc, dst_type, input,
                                /*truncate=*/b.getBoolAttr(false));
  return nullptr;
}

	metrics.RegisterMetrics(kubeproxyconfig.ProxyModeNFTables)

	makeServiceMap(fp,
		// create ClusterIP service
		makeTestService("ns1", "svc1", func(svc *v1.Service) {
			svc.Spec.ClusterIP = "172.30.0.41"
			svc.Spec.Ports = []v1.ServicePort{{
				Name:     "p80",
				Port:     80,
				Protocol: v1.ProtocolTCP,
			}}
		}),
		// create LoadBalancer service with Local traffic policy

        ),
        0.5,
    )

  def test_qat_vocab_table_lookup_model(self):
    tags = {tag_constants.SERVING}
    signature_def_key = signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY

    # Create and save a simple model that involves a hash table.
    inputs, outputs = self._create_and_save_vocab_table_lookup_qat_model_tf1(
        self._input_saved_model_path, tags, signature_def_key
    )

}}"] resources: ["serviceexports"] verbs: ["get", "list", "watch", "create", "delete"] - apiGroups: ["{{ $mcsAPIGroup }}"] resources: ["serviceimports"] verbs: ["get", "list", "watch"] - apiGroups: ["apps"] resources: ["replicasets"] verbs: ["get", "list", "watch"] - apiGroups: ["authentication.k8s.io"] resources: ["tokenreviews"] verbs: ["create"] - apiGroups: ["authorization.k8s.io"] resources: ["subjectaccessreviews"] verbs: ["create"] {{- if .Values.global.externalIstiod }} - apiGroups: [""] resources:...

    shape is unidentifiable.
    All of these args are supposed to be independent and not related to original
    creation of TensorList.

    This pass will create multiple instances of TensorList for each arg of the
    while op and each use and thus there will be not a conflict in resolving the
    shape of these different inputs.
  }];

 *
 * Start a {@code ClosingFuture} pipeline {@linkplain #submit(ClosingCallable, Executor) from a
 * callable block} that may capture objects for later closing. To start a pipeline from a {@link
 * ListenableFuture} that doesn't create resources that should be closed later, you can use {@link
 * #from(ListenableFuture)} instead.
 *
 * <h3>Derived steps</h3>
 *

	defer testKubelet.Cleanup()
	kubelet := testKubelet.kubelet
	kubeClient := testKubelet.fakeKubeClient
	kubeClient.AddReactor("create", "nodes", func(action core.Action) (bool, runtime.Object, error) {
		// Return an error on create.
		return true, &v1.Node{}, &apierrors.StatusError{
			ErrStatus: metav1.Status{Reason: metav1.StatusReasonAlreadyExists},
		}
	})

 *
 * Start a {@code ClosingFuture} pipeline {@linkplain #submit(ClosingCallable, Executor) from a
 * callable block} that may capture objects for later closing. To start a pipeline from a {@link
 * ListenableFuture} that doesn't create resources that should be closed later, you can use {@link
 * #from(ListenableFuture)} instead.
 *
 * <h3>Derived steps</h3>
 *

			if tc.setStartTime {
				start := metav1.NewTime(fakeClock.Now())
				job.Status.StartTime = &start
			}

			_, err := clientset.BatchV1().Jobs(job.GetNamespace()).Create(ctx, job, metav1.CreateOptions{})
			if err != nil {
				t.Errorf("Could not create Job: %v", err)
			}

			var j *batch.Job