"eds_config": {
                "ads": {},
                "initial_fetch_timeout": "0s",
                "resource_api_version": "V3"
              },
              "service_name": "outbound|9080|v1|productpage.default.svc.cluster.local"
            },
            "connect_timeout": "10s",
            "lb_policy": "LEAST_REQUEST",
            "circuit_breakers": {
              "thresholds": [

      cpu_value.get(), context.get(), device_name, status.get()));
  EXPECT_EQ(TF_GetCode(status.get()), TF_UNIMPLEMENTED);

  std::array<TFE_TensorHandle*, 2> components{cpu_value.get(), cpu_value.get()};
  TensorHandlePtr device_value = CreatePerDeviceValues(
      context.get(), components, device_name, status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

}
}  // namespace

extern "C" {

bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {
  return tensorflow::unwrap(ctx)->IsCustomDevice(device_name);
}

void TFE_RegisterCustomDevice(TFE_Context* ctx, TFE_CustomDevice device,
                              const char* device_name, void* device_info,
                              TF_Status* status) {

    private final GSSName serviceName;


    Kerb5Context ( String host, String service, String name, int userLifetime, int contextLifetime, String realm ) throws GSSException {
        GSSManager manager = GSSManager.getInstance();
        GSSCredential clientCreds = null;
        Oid mechOid = JGSS_KRB5_MECH_OID;
        if ( realm != null ) {

  TFE_OpSetAttrShape(op, "shape", {}, 0, status);
  TFE_OpSetAttrString(op, "container", "localhost", 0);
  TFE_OpSetAttrString(op, "shared_name", "", 0);
  if (!device_name.empty()) {
    TFE_OpSetDevice(op, device_name.c_str(), status);
  }
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_TensorHandle* var_handle = nullptr;
  int num_retvals = 1;
  TFE_Execute(op, &var_handle, &num_retvals, status);

  // +optional
  optional IngressStatus status = 3;
}

// IngressBackend describes all endpoints for a given service and port.
message IngressBackend {
  // serviceName specifies the name of the referenced service.
  // +optional
  optional string serviceName = 1;

  // servicePort Specifies the port of the referenced service.
  // +optional
  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString servicePort = 2;

  //===--------------------------------------------------------------------===//
  virtual CustomDeviceOpHandler& GetCustomDeviceOpHandler() = 0;

  // Returns whether `device_name` is registered as a custom device.
  virtual bool IsCustomDevice(const string& device_name) = 0;

  // Register a custom device. It will return error is the device name is
  // already registered.

DLDevice GetDlContext(TFE_TensorHandle* h, TF_Status* status) {
  DLDevice ctx;
  const char* device_name =
      tensorflow::unwrap(h)->BackingDeviceName(&status->status);
  DeviceNameUtils::ParsedName parsed_name;
  tensorflow::DeviceNameUtils::ParseFullName(device_name, &parsed_name);
  std::string device_type = parsed_name.type;
  int device_id = 0;
  if (parsed_name.has_id) {

   * debugging output.
   *
   * @since 14.0
   */
  protected String serviceName() {
    return getClass().getSimpleName();
  }

  @Override
  public String toString() {
    return serviceName() + " [" + state() + "]";
  }

  @Override
  public final boolean isRunning() {
    return delegate.isRunning();
  }

  @Override

                                                    void* device_info,
                                                    TF_Status* status);

// Returns whether `device_name` maps to a registered custom device.
TF_CAPI_EXPORT extern bool TFE_IsCustomDevice(TFE_Context* ctx,
                                              const char* device_name);