* Java 8. If we include the {@code getAnnotatedBounds()} method then its return type means it
   * won't compile on Java 7, while if we don't include the method then the compiler will complain
   * that an abstract method is unimplemented. So instead we use a dynamic proxy to get an
   * implementation. If the method being called on the {@code TypeVariable} instance has the same

type UnimplementedExampleServer struct {
}

func (*UnimplementedExampleServer) GetExampleInfo(ctx context.Context, req *ExampleRequest) (*ExampleResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetExampleInfo not implemented")
}

func RegisterExampleServer(s *grpc.Server, srv ExampleServer) {
	s.RegisterService(&_Example_serviceDesc, srv)
}

type anyObject struct {
	Value interface{}
}

func (p anyObject) GetObjectKind() schema.ObjectKind {
	return schema.EmptyObjectKind
}

func (anyObject) DeepCopyObject() runtime.Object {
	panic("unimplemented")
}

func (p anyObject) MarshalCBOR() ([]byte, error) {
	return modes.Encode.Marshal(p.Value)
}

func (p *anyObject) UnmarshalCBOR(in []byte) error {
	return modes.Decode.Unmarshal(in, &p.Value)
}

type UnimplementedExampleServer struct {
}

func (*UnimplementedExampleServer) GetExampleInfo(ctx context.Context, req *ExampleRequest) (*ExampleResponse, error) {
	return nil, status.Errorf(codes.Unimplemented, "method GetExampleInfo not implemented")
}

func RegisterExampleServer(s *grpc.Server, srv ExampleServer) {
	s.RegisterService(&_Example_serviceDesc, srv)
}

  // TODO(skyewm): handle (or at least detect) nested while loops

  // TODO(skyewm): handle NoGradient in while loop
  if (summed_grads == NoGradient()) {
    return errors::Unimplemented(
        "Missing gradient into while loop not yet implemented");
  }

  DCHECK(exit_node->IsExit());
  WhileContext* while_ctx = exit_node->while_ctx();
  DCHECK(while_ctx != nullptr);

          combined_shape.dims() != component_shape.dims()) {
        PartialTensorShape first_shape;
        TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&first_shape));
        return errors::Unimplemented(absl::StrCat(
            "Computing the shape of a ParallelTensor when the components do "
            "not all have the same rank is not supported. One tensor had "
            "shape ",

// package should continue as if the optional interface was not
// implemented. ErrSkip is only supported where explicitly
// documented.
var ErrSkip = errors.New("driver: skip fast-path; continue as if unimplemented")

// ErrBadConn should be returned by a driver to signal to the [database/sql]
// package that a driver.[Conn] is in a bad state (such as the server

TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;
  static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED);

   * @return the converted instance; <b>must not</b> be null
   * @throws UnsupportedOperationException if backward conversion is not implemented; this should be
   *     very rare. Note that if backward conversion is not only unimplemented but
   *     unimplement<i>able</i> (for example, consider a {@code Converter<Chicken, ChickenNugget>}),
   *     then this is not logically a {@code Converter} at all, and should just implement {@link
   *     Function}.

   * @return the converted instance; <b>must not</b> be null
   * @throws UnsupportedOperationException if backward conversion is not implemented; this should be
   *     very rare. Note that if backward conversion is not only unimplemented but
   *     unimplement<i>able</i> (for example, consider a {@code Converter<Chicken, ChickenNugget>}),
   *     then this is not logically a {@code Converter} at all, and should just implement {@link
   *     Function}.