defer etcdserver.Terminate(t)

	storageProvider, err := corerest.New(corerest.Config{
		GenericConfig: *apiserverCfg.ControlPlane.NewCoreGenericConfig(),
		Proxy: corerest.ProxyConfig{
			Transport:           apiserverCfg.ControlPlane.Extra.ProxyTransport,
			KubeletClientConfig: apiserverCfg.Extra.KubeletClientConfig,
		},
		Services: corerest.ServicesConfig{
			ClusterIPRange: apiserverCfg.Extra.ServiceIPRange,

}

// NewCoreGenericConfig returns a new core rest generic config.
func (c *CompletedConfig) NewCoreGenericConfig() *corerest.GenericConfig {
	return &corerest.GenericConfig{
		StorageFactory:              c.Extra.StorageFactory,
		EventTTL:                    c.Extra.EventTTL,
		LoopbackClientConfig:        c.Generic.LoopbackClientConfig,

	legacyRESTStorageProvider, err := corerest.New(corerest.Config{
		GenericConfig: *c.ControlPlane.NewCoreGenericConfig(),
		Proxy: corerest.ProxyConfig{
			Transport:           c.ControlPlane.Extra.ProxyTransport,
			KubeletClientConfig: c.Extra.KubeletClientConfig,
		},
		Services: corerest.ServicesConfig{
			ClusterIPRange:          c.Extra.ServiceIPRange,

	//
	// There's a lot of state manipulation performed with shortcuts
	// but we need to make sure the tracer can only observe the
	// start and end states to maintain a coherent model and avoid
	// emitting an event for every single transition.
	trace := traceAcquire()

	if locked {
		// Detach the goroutine from the thread; we'll attach to the goroutine we're

        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

cc_library(
    name = "scalars",
    hdrs = [
        "scalars.h",
    ],
)

tf_cc_test(
    name = "scalars_test",
    size = "small",
    srcs = ["scalars_test.cc"],
    deps = [
        ":scalars",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

        "//tensorflow/c/experimental/ops",
        "//tensorflow/compiler/mlir/tensorflow/c:mlir_c_api_registration",
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/lib/llvm_rtti",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/strings",

    deps = [
        "//tensorflow/core:test",
        "//tensorflow/core/platform:protobuf",
    ],
)

tf_cc_test(
    name = "util_test",
    size = "small",
    srcs = ["util_test.cc"],
    deps = [
        ":test_utils",
        ":util",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",

        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_types",
        "//tensorflow/core:framework",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/framework:tensor_testutil",
        "//tensorflow/core/util/tensor_bundle",
        "@com_google_absl//absl/cleanup",

        ":xla_gpu_jit",
        "//tensorflow/cc:function_ops",
        "//tensorflow/cc:math_ops",
        "//tensorflow/cc:scope",
        "//tensorflow/core:framework",
        "//tensorflow/core:test",
        "//tensorflow/core/kernels:ops_testutil",
        "//tensorflow/core/platform:errors",
        "//tensorflow/core/platform:status",
        "//tensorflow/core/platform:status_matchers",

func.func @resource() {
  // CHECK: tf.SomeOp
  // CHECK-SAME: dtype = !corert.resource
  "tf.SomeOp"() {device = "/device:CPU:0", dtype = !tf_type.resource} : () -> ()
  func.return
}

// CHECK-LABEL: func @variant
func.func @variant(%arg: tensor<!tf_type.variant>) {
  // CHECK: tf.ZerosLike
  // CHECK-SAME: T = !corert.variant