opencv/modules/dnn/misc/tensorflow/tensor_shape.pb.h
Alexander Alekhin d934bb15b0
Merge pull request from alalek:update_protobuf_3.19.1
3rdparty(protobuf): upgrade 3.5.2 => 3.19.1

* 3rdparty(protobuf): upgrade 3.5.2 => 3.19.1

* dnn: update protobuf files (3.19.1)

* 3rdparty(protobuf): re-apply OpenCV patch for custom fields (3.19.1)

* protobuf: suppress new build warnings

* protobuf: remove unused files
2021-11-10 12:03:45 +00:00

560 lines
20 KiB
C++

// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensor_shape.proto
#ifndef GOOGLE_PROTOBUF_INCLUDED_tensor_5fshape_2eproto
#define GOOGLE_PROTOBUF_INCLUDED_tensor_5fshape_2eproto
#include <limits>
#include <string>
#include <google/protobuf/port_def.inc>
#if PROTOBUF_VERSION < 3019000
#error This file was generated by a newer version of protoc which is
#error incompatible with your Protocol Buffer headers. Please update
#error your headers.
#endif
#if 3019001 < PROTOBUF_MIN_PROTOC_VERSION
#error This file was generated by an older version of protoc which is
#error incompatible with your Protocol Buffer headers. Please
#error regenerate this file with a newer version of protoc.
#endif
#include <google/protobuf/port_undef.inc>
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/arena.h>
#include <google/protobuf/arenastring.h>
#include <google/protobuf/generated_message_table_driven.h>
#include <google/protobuf/generated_message_util.h>
#include <google/protobuf/metadata_lite.h>
#include <google/protobuf/generated_message_reflection.h>
#include <google/protobuf/message.h>
#include <google/protobuf/repeated_field.h> // IWYU pragma: export
#include <google/protobuf/extension_set.h> // IWYU pragma: export
#include <google/protobuf/unknown_field_set.h>
// @@protoc_insertion_point(includes)
#include <google/protobuf/port_def.inc>
#define PROTOBUF_INTERNAL_EXPORT_tensor_5fshape_2eproto
PROTOBUF_NAMESPACE_OPEN
namespace internal {
class AnyMetadata;
} // namespace internal
PROTOBUF_NAMESPACE_CLOSE
// Internal implementation detail -- do not use these members.
struct TableStruct_tensor_5fshape_2eproto {
static const ::PROTOBUF_NAMESPACE_ID::internal::ParseTableField entries[]
PROTOBUF_SECTION_VARIABLE(protodesc_cold);
static const ::PROTOBUF_NAMESPACE_ID::internal::AuxiliaryParseTableField aux[]
PROTOBUF_SECTION_VARIABLE(protodesc_cold);
static const ::PROTOBUF_NAMESPACE_ID::internal::ParseTable schema[2]
PROTOBUF_SECTION_VARIABLE(protodesc_cold);
static const ::PROTOBUF_NAMESPACE_ID::internal::FieldMetadata field_metadata[];
static const ::PROTOBUF_NAMESPACE_ID::internal::SerializationTable serialization_table[];
static const uint32_t offsets[];
};
extern const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_tensor_5fshape_2eproto;
namespace opencv_tensorflow {
class TensorShapeProto;
struct TensorShapeProtoDefaultTypeInternal;
extern TensorShapeProtoDefaultTypeInternal _TensorShapeProto_default_instance_;
class TensorShapeProto_Dim;
struct TensorShapeProto_DimDefaultTypeInternal;
extern TensorShapeProto_DimDefaultTypeInternal _TensorShapeProto_Dim_default_instance_;
} // namespace opencv_tensorflow
PROTOBUF_NAMESPACE_OPEN
template<> ::opencv_tensorflow::TensorShapeProto* Arena::CreateMaybeMessage<::opencv_tensorflow::TensorShapeProto>(Arena*);
template<> ::opencv_tensorflow::TensorShapeProto_Dim* Arena::CreateMaybeMessage<::opencv_tensorflow::TensorShapeProto_Dim>(Arena*);
PROTOBUF_NAMESPACE_CLOSE
namespace opencv_tensorflow {
// ===================================================================
class TensorShapeProto_Dim final :
public ::PROTOBUF_NAMESPACE_ID::Message /* @@protoc_insertion_point(class_definition:opencv_tensorflow.TensorShapeProto.Dim) */ {
public:
inline TensorShapeProto_Dim() : TensorShapeProto_Dim(nullptr) {}
~TensorShapeProto_Dim() override;
explicit constexpr TensorShapeProto_Dim(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized);
TensorShapeProto_Dim(const TensorShapeProto_Dim& from);
TensorShapeProto_Dim(TensorShapeProto_Dim&& from) noexcept
: TensorShapeProto_Dim() {
*this = ::std::move(from);
}
inline TensorShapeProto_Dim& operator=(const TensorShapeProto_Dim& from) {
CopyFrom(from);
return *this;
}
inline TensorShapeProto_Dim& operator=(TensorShapeProto_Dim&& from) noexcept {
if (this == &from) return *this;
if (GetOwningArena() == from.GetOwningArena()
#ifdef PROTOBUF_FORCE_COPY_IN_MOVE
&& GetOwningArena() != nullptr
#endif // !PROTOBUF_FORCE_COPY_IN_MOVE
) {
InternalSwap(&from);
} else {
CopyFrom(from);
}
return *this;
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* descriptor() {
return GetDescriptor();
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* GetDescriptor() {
return default_instance().GetMetadata().descriptor;
}
static const ::PROTOBUF_NAMESPACE_ID::Reflection* GetReflection() {
return default_instance().GetMetadata().reflection;
}
static const TensorShapeProto_Dim& default_instance() {
return *internal_default_instance();
}
static inline const TensorShapeProto_Dim* internal_default_instance() {
return reinterpret_cast<const TensorShapeProto_Dim*>(
&_TensorShapeProto_Dim_default_instance_);
}
static constexpr int kIndexInFileMessages =
0;
friend void swap(TensorShapeProto_Dim& a, TensorShapeProto_Dim& b) {
a.Swap(&b);
}
inline void Swap(TensorShapeProto_Dim* other) {
if (other == this) return;
#ifdef PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() != nullptr &&
GetOwningArena() == other->GetOwningArena()) {
#else // PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() == other->GetOwningArena()) {
#endif // !PROTOBUF_FORCE_COPY_IN_SWAP
InternalSwap(other);
} else {
::PROTOBUF_NAMESPACE_ID::internal::GenericSwap(this, other);
}
}
void UnsafeArenaSwap(TensorShapeProto_Dim* other) {
if (other == this) return;
GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena());
InternalSwap(other);
}
// implements Message ----------------------------------------------
TensorShapeProto_Dim* New(::PROTOBUF_NAMESPACE_ID::Arena* arena = nullptr) const final {
return CreateMaybeMessage<TensorShapeProto_Dim>(arena);
}
using ::PROTOBUF_NAMESPACE_ID::Message::CopyFrom;
void CopyFrom(const TensorShapeProto_Dim& from);
using ::PROTOBUF_NAMESPACE_ID::Message::MergeFrom;
void MergeFrom(const TensorShapeProto_Dim& from);
private:
static void MergeImpl(::PROTOBUF_NAMESPACE_ID::Message* to, const ::PROTOBUF_NAMESPACE_ID::Message& from);
public:
PROTOBUF_ATTRIBUTE_REINITIALIZES void Clear() final;
bool IsInitialized() const final;
size_t ByteSizeLong() const final;
const char* _InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) final;
uint8_t* _InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const final;
int GetCachedSize() const final { return _cached_size_.Get(); }
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const final;
void InternalSwap(TensorShapeProto_Dim* other);
private:
friend class ::PROTOBUF_NAMESPACE_ID::internal::AnyMetadata;
static ::PROTOBUF_NAMESPACE_ID::StringPiece FullMessageName() {
return "opencv_tensorflow.TensorShapeProto.Dim";
}
protected:
explicit TensorShapeProto_Dim(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned = false);
private:
static void ArenaDtor(void* object);
inline void RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena* arena);
public:
static const ClassData _class_data_;
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*GetClassData() const final;
::PROTOBUF_NAMESPACE_ID::Metadata GetMetadata() const final;
// nested types ----------------------------------------------------
// accessors -------------------------------------------------------
enum : int {
kNameFieldNumber = 2,
kSizeFieldNumber = 1,
};
// string name = 2;
void clear_name();
const std::string& name() const;
template <typename ArgT0 = const std::string&, typename... ArgT>
void set_name(ArgT0&& arg0, ArgT... args);
std::string* mutable_name();
PROTOBUF_NODISCARD std::string* release_name();
void set_allocated_name(std::string* name);
private:
const std::string& _internal_name() const;
inline PROTOBUF_ALWAYS_INLINE void _internal_set_name(const std::string& value);
std::string* _internal_mutable_name();
public:
// int64 size = 1;
void clear_size();
int64_t size() const;
void set_size(int64_t value);
private:
int64_t _internal_size() const;
void _internal_set_size(int64_t value);
public:
// @@protoc_insertion_point(class_scope:opencv_tensorflow.TensorShapeProto.Dim)
private:
class _Internal;
template <typename T> friend class ::PROTOBUF_NAMESPACE_ID::Arena::InternalHelper;
typedef void InternalArenaConstructable_;
typedef void DestructorSkippable_;
::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr name_;
int64_t size_;
mutable ::PROTOBUF_NAMESPACE_ID::internal::CachedSize _cached_size_;
friend struct ::TableStruct_tensor_5fshape_2eproto;
};
// -------------------------------------------------------------------
class TensorShapeProto final :
public ::PROTOBUF_NAMESPACE_ID::Message /* @@protoc_insertion_point(class_definition:opencv_tensorflow.TensorShapeProto) */ {
public:
inline TensorShapeProto() : TensorShapeProto(nullptr) {}
~TensorShapeProto() override;
explicit constexpr TensorShapeProto(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized);
TensorShapeProto(const TensorShapeProto& from);
TensorShapeProto(TensorShapeProto&& from) noexcept
: TensorShapeProto() {
*this = ::std::move(from);
}
inline TensorShapeProto& operator=(const TensorShapeProto& from) {
CopyFrom(from);
return *this;
}
inline TensorShapeProto& operator=(TensorShapeProto&& from) noexcept {
if (this == &from) return *this;
if (GetOwningArena() == from.GetOwningArena()
#ifdef PROTOBUF_FORCE_COPY_IN_MOVE
&& GetOwningArena() != nullptr
#endif // !PROTOBUF_FORCE_COPY_IN_MOVE
) {
InternalSwap(&from);
} else {
CopyFrom(from);
}
return *this;
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* descriptor() {
return GetDescriptor();
}
static const ::PROTOBUF_NAMESPACE_ID::Descriptor* GetDescriptor() {
return default_instance().GetMetadata().descriptor;
}
static const ::PROTOBUF_NAMESPACE_ID::Reflection* GetReflection() {
return default_instance().GetMetadata().reflection;
}
static const TensorShapeProto& default_instance() {
return *internal_default_instance();
}
static inline const TensorShapeProto* internal_default_instance() {
return reinterpret_cast<const TensorShapeProto*>(
&_TensorShapeProto_default_instance_);
}
static constexpr int kIndexInFileMessages =
1;
friend void swap(TensorShapeProto& a, TensorShapeProto& b) {
a.Swap(&b);
}
inline void Swap(TensorShapeProto* other) {
if (other == this) return;
#ifdef PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() != nullptr &&
GetOwningArena() == other->GetOwningArena()) {
#else // PROTOBUF_FORCE_COPY_IN_SWAP
if (GetOwningArena() == other->GetOwningArena()) {
#endif // !PROTOBUF_FORCE_COPY_IN_SWAP
InternalSwap(other);
} else {
::PROTOBUF_NAMESPACE_ID::internal::GenericSwap(this, other);
}
}
void UnsafeArenaSwap(TensorShapeProto* other) {
if (other == this) return;
GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena());
InternalSwap(other);
}
// implements Message ----------------------------------------------
TensorShapeProto* New(::PROTOBUF_NAMESPACE_ID::Arena* arena = nullptr) const final {
return CreateMaybeMessage<TensorShapeProto>(arena);
}
using ::PROTOBUF_NAMESPACE_ID::Message::CopyFrom;
void CopyFrom(const TensorShapeProto& from);
using ::PROTOBUF_NAMESPACE_ID::Message::MergeFrom;
void MergeFrom(const TensorShapeProto& from);
private:
static void MergeImpl(::PROTOBUF_NAMESPACE_ID::Message* to, const ::PROTOBUF_NAMESPACE_ID::Message& from);
public:
PROTOBUF_ATTRIBUTE_REINITIALIZES void Clear() final;
bool IsInitialized() const final;
size_t ByteSizeLong() const final;
const char* _InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) final;
uint8_t* _InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const final;
int GetCachedSize() const final { return _cached_size_.Get(); }
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const final;
void InternalSwap(TensorShapeProto* other);
private:
friend class ::PROTOBUF_NAMESPACE_ID::internal::AnyMetadata;
static ::PROTOBUF_NAMESPACE_ID::StringPiece FullMessageName() {
return "opencv_tensorflow.TensorShapeProto";
}
protected:
explicit TensorShapeProto(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned = false);
private:
static void ArenaDtor(void* object);
inline void RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena* arena);
public:
static const ClassData _class_data_;
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*GetClassData() const final;
::PROTOBUF_NAMESPACE_ID::Metadata GetMetadata() const final;
// nested types ----------------------------------------------------
typedef TensorShapeProto_Dim Dim;
// accessors -------------------------------------------------------
enum : int {
kDimFieldNumber = 2,
kUnknownRankFieldNumber = 3,
};
// repeated .opencv_tensorflow.TensorShapeProto.Dim dim = 2;
int dim_size() const;
private:
int _internal_dim_size() const;
public:
void clear_dim();
::opencv_tensorflow::TensorShapeProto_Dim* mutable_dim(int index);
::PROTOBUF_NAMESPACE_ID::RepeatedPtrField< ::opencv_tensorflow::TensorShapeProto_Dim >*
mutable_dim();
private:
const ::opencv_tensorflow::TensorShapeProto_Dim& _internal_dim(int index) const;
::opencv_tensorflow::TensorShapeProto_Dim* _internal_add_dim();
public:
const ::opencv_tensorflow::TensorShapeProto_Dim& dim(int index) const;
::opencv_tensorflow::TensorShapeProto_Dim* add_dim();
const ::PROTOBUF_NAMESPACE_ID::RepeatedPtrField< ::opencv_tensorflow::TensorShapeProto_Dim >&
dim() const;
// bool unknown_rank = 3;
void clear_unknown_rank();
bool unknown_rank() const;
void set_unknown_rank(bool value);
private:
bool _internal_unknown_rank() const;
void _internal_set_unknown_rank(bool value);
public:
// @@protoc_insertion_point(class_scope:opencv_tensorflow.TensorShapeProto)
private:
class _Internal;
template <typename T> friend class ::PROTOBUF_NAMESPACE_ID::Arena::InternalHelper;
typedef void InternalArenaConstructable_;
typedef void DestructorSkippable_;
::PROTOBUF_NAMESPACE_ID::RepeatedPtrField< ::opencv_tensorflow::TensorShapeProto_Dim > dim_;
bool unknown_rank_;
mutable ::PROTOBUF_NAMESPACE_ID::internal::CachedSize _cached_size_;
friend struct ::TableStruct_tensor_5fshape_2eproto;
};
// ===================================================================
// ===================================================================
#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#endif // __GNUC__
// TensorShapeProto_Dim
// int64 size = 1;
inline void TensorShapeProto_Dim::clear_size() {
size_ = int64_t{0};
}
inline int64_t TensorShapeProto_Dim::_internal_size() const {
return size_;
}
inline int64_t TensorShapeProto_Dim::size() const {
// @@protoc_insertion_point(field_get:opencv_tensorflow.TensorShapeProto.Dim.size)
return _internal_size();
}
inline void TensorShapeProto_Dim::_internal_set_size(int64_t value) {
size_ = value;
}
inline void TensorShapeProto_Dim::set_size(int64_t value) {
_internal_set_size(value);
// @@protoc_insertion_point(field_set:opencv_tensorflow.TensorShapeProto.Dim.size)
}
// string name = 2;
inline void TensorShapeProto_Dim::clear_name() {
name_.ClearToEmpty();
}
inline const std::string& TensorShapeProto_Dim::name() const {
// @@protoc_insertion_point(field_get:opencv_tensorflow.TensorShapeProto.Dim.name)
return _internal_name();
}
template <typename ArgT0, typename... ArgT>
inline PROTOBUF_ALWAYS_INLINE
void TensorShapeProto_Dim::set_name(ArgT0&& arg0, ArgT... args) {
name_.Set(::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::EmptyDefault{}, static_cast<ArgT0 &&>(arg0), args..., GetArenaForAllocation());
// @@protoc_insertion_point(field_set:opencv_tensorflow.TensorShapeProto.Dim.name)
}
inline std::string* TensorShapeProto_Dim::mutable_name() {
std::string* _s = _internal_mutable_name();
// @@protoc_insertion_point(field_mutable:opencv_tensorflow.TensorShapeProto.Dim.name)
return _s;
}
inline const std::string& TensorShapeProto_Dim::_internal_name() const {
return name_.Get();
}
inline void TensorShapeProto_Dim::_internal_set_name(const std::string& value) {
name_.Set(::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::EmptyDefault{}, value, GetArenaForAllocation());
}
inline std::string* TensorShapeProto_Dim::_internal_mutable_name() {
return name_.Mutable(::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::EmptyDefault{}, GetArenaForAllocation());
}
inline std::string* TensorShapeProto_Dim::release_name() {
// @@protoc_insertion_point(field_release:opencv_tensorflow.TensorShapeProto.Dim.name)
return name_.Release(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), GetArenaForAllocation());
}
inline void TensorShapeProto_Dim::set_allocated_name(std::string* name) {
if (name != nullptr) {
} else {
}
name_.SetAllocated(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), name,
GetArenaForAllocation());
#ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING
if (name_.IsDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited())) {
name_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation());
}
#endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING
// @@protoc_insertion_point(field_set_allocated:opencv_tensorflow.TensorShapeProto.Dim.name)
}
// -------------------------------------------------------------------
// TensorShapeProto
// repeated .opencv_tensorflow.TensorShapeProto.Dim dim = 2;
inline int TensorShapeProto::_internal_dim_size() const {
return dim_.size();
}
inline int TensorShapeProto::dim_size() const {
return _internal_dim_size();
}
inline void TensorShapeProto::clear_dim() {
dim_.Clear();
}
inline ::opencv_tensorflow::TensorShapeProto_Dim* TensorShapeProto::mutable_dim(int index) {
// @@protoc_insertion_point(field_mutable:opencv_tensorflow.TensorShapeProto.dim)
return dim_.Mutable(index);
}
inline ::PROTOBUF_NAMESPACE_ID::RepeatedPtrField< ::opencv_tensorflow::TensorShapeProto_Dim >*
TensorShapeProto::mutable_dim() {
// @@protoc_insertion_point(field_mutable_list:opencv_tensorflow.TensorShapeProto.dim)
return &dim_;
}
inline const ::opencv_tensorflow::TensorShapeProto_Dim& TensorShapeProto::_internal_dim(int index) const {
return dim_.Get(index);
}
inline const ::opencv_tensorflow::TensorShapeProto_Dim& TensorShapeProto::dim(int index) const {
// @@protoc_insertion_point(field_get:opencv_tensorflow.TensorShapeProto.dim)
return _internal_dim(index);
}
inline ::opencv_tensorflow::TensorShapeProto_Dim* TensorShapeProto::_internal_add_dim() {
return dim_.Add();
}
inline ::opencv_tensorflow::TensorShapeProto_Dim* TensorShapeProto::add_dim() {
::opencv_tensorflow::TensorShapeProto_Dim* _add = _internal_add_dim();
// @@protoc_insertion_point(field_add:opencv_tensorflow.TensorShapeProto.dim)
return _add;
}
inline const ::PROTOBUF_NAMESPACE_ID::RepeatedPtrField< ::opencv_tensorflow::TensorShapeProto_Dim >&
TensorShapeProto::dim() const {
// @@protoc_insertion_point(field_list:opencv_tensorflow.TensorShapeProto.dim)
return dim_;
}
// bool unknown_rank = 3;
inline void TensorShapeProto::clear_unknown_rank() {
unknown_rank_ = false;
}
inline bool TensorShapeProto::_internal_unknown_rank() const {
return unknown_rank_;
}
inline bool TensorShapeProto::unknown_rank() const {
// @@protoc_insertion_point(field_get:opencv_tensorflow.TensorShapeProto.unknown_rank)
return _internal_unknown_rank();
}
inline void TensorShapeProto::_internal_set_unknown_rank(bool value) {
unknown_rank_ = value;
}
inline void TensorShapeProto::set_unknown_rank(bool value) {
_internal_set_unknown_rank(value);
// @@protoc_insertion_point(field_set:opencv_tensorflow.TensorShapeProto.unknown_rank)
}
#ifdef __GNUC__
#pragma GCC diagnostic pop
#endif // __GNUC__
// -------------------------------------------------------------------
// @@protoc_insertion_point(namespace_scope)
} // namespace opencv_tensorflow
// @@protoc_insertion_point(global_scope)
#include <google/protobuf/port_undef.inc>
#endif // GOOGLE_PROTOBUF_INCLUDED_GOOGLE_PROTOBUF_INCLUDED_tensor_5fshape_2eproto