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,

	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,

        ":testutil",
        "//tensorflow/core:all_kernels",
        "//tensorflow/core:framework",
        "//tensorflow/core:framework_internal",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core:testlib",
    ],
)

tf_cc_test(
    name = "framework_while_gradients_test",
    size = "small",

        "//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",

			},
		},
		5: {
			desc:       "Correct sha256, nested",
			src:        mustReader(t, bytes.NewReader([]byte("abcd")), 4, "", "", 4),
			size:       4,
			actualSize: 4,
			sha256hex:  "88d4266fd4e6338d13b845fcf289579d209c897823b9217da3e161936f031589",
		},
		{
			desc:       "Correct sha256, nested, truncated",

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

tf_cc_test(
    name = "while_loop_test",
    size = "medium",
    srcs = ["while_loop_test.cc"],
    deps = [
        ":c_api",
        ":c_test_util",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

      $resource,
      (TF_SubOp
        (CreateTFReadVariableOp $src_op, $value, $resource),
        $value
      ),
      (CreateConstBoolAttrFalse)
    )
  >;

// This decomposition is only correct inside XLA as it ignores use_locking
// attribute.
def DecomposeResourceApplyGradientDescentOp :
  Pat<
    (TF_ResourceApplyGradientDescentOp:$src_op $resource, $alpha, $delta, BoolAttr:$_),
    (TF_AssignVariableOp

  operations.

  Offline mode really means anticipating a lack of network connectivity, and as
  a result turning off certain services provided by m2 and providing a coherent
  way of predicting and reporting when network-related failures will take place.
  It means warning users that since the network is missing, certain features and

        "@llvm-project//mlir:Transforms",
    ],
)

tf_cc_test(
    name = "tf_saved_model_test",
    srcs = ["ir/tf_saved_model_test.cc"],
    deps = [
        ":tensorflow",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:test",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Parser",