opencv/modules/dnn/misc/tensorflow/tensor_shape.pb.h

424 lines
15 KiB
C
Raw Normal View History

// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensor_shape.proto
#ifndef PROTOBUF_tensor_5fshape_2eproto__INCLUDED
#define PROTOBUF_tensor_5fshape_2eproto__INCLUDED
#include <string>
#include <google/protobuf/stubs/common.h>
#if GOOGLE_PROTOBUF_VERSION < 3001000
#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 3001000 < GOOGLE_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/arena.h>
#include <google/protobuf/arenastring.h>
#include <google/protobuf/generated_message_util.h>
#include <google/protobuf/metadata.h>
#include <google/protobuf/message.h>
#include <google/protobuf/repeated_field.h>
#include <google/protobuf/extension_set.h>
#include <google/protobuf/unknown_field_set.h>
// @@protoc_insertion_point(includes)
namespace tensorflow {
// Internal implementation detail -- do not call these.
void protobuf_AddDesc_tensor_5fshape_2eproto();
void protobuf_InitDefaults_tensor_5fshape_2eproto();
void protobuf_AssignDesc_tensor_5fshape_2eproto();
void protobuf_ShutdownFile_tensor_5fshape_2eproto();
class TensorShapeProto;
class TensorShapeProto_Dim;
// ===================================================================
class TensorShapeProto_Dim : public ::google::protobuf::Message /* @@protoc_insertion_point(class_definition:tensorflow.TensorShapeProto.Dim) */ {
public:
TensorShapeProto_Dim();
virtual ~TensorShapeProto_Dim();
TensorShapeProto_Dim(const TensorShapeProto_Dim& from);
inline TensorShapeProto_Dim& operator=(const TensorShapeProto_Dim& from) {
CopyFrom(from);
return *this;
}
inline ::google::protobuf::Arena* GetArena() const { return GetArenaNoVirtual(); }
inline void* GetMaybeArenaPointer() const {
return MaybeArenaPtr();
}
static const ::google::protobuf::Descriptor* descriptor();
static const TensorShapeProto_Dim& default_instance();
static const TensorShapeProto_Dim* internal_default_instance();
void UnsafeArenaSwap(TensorShapeProto_Dim* other);
void Swap(TensorShapeProto_Dim* other);
// implements Message ----------------------------------------------
inline TensorShapeProto_Dim* New() const { return New(NULL); }
TensorShapeProto_Dim* New(::google::protobuf::Arena* arena) const;
void CopyFrom(const ::google::protobuf::Message& from);
void MergeFrom(const ::google::protobuf::Message& from);
void CopyFrom(const TensorShapeProto_Dim& from);
void MergeFrom(const TensorShapeProto_Dim& from);
void Clear();
bool IsInitialized() const;
size_t ByteSizeLong() const;
bool MergePartialFromCodedStream(
::google::protobuf::io::CodedInputStream* input);
void SerializeWithCachedSizes(
::google::protobuf::io::CodedOutputStream* output) const;
::google::protobuf::uint8* InternalSerializeWithCachedSizesToArray(
bool deterministic, ::google::protobuf::uint8* output) const;
::google::protobuf::uint8* SerializeWithCachedSizesToArray(::google::protobuf::uint8* output) const {
return InternalSerializeWithCachedSizesToArray(false, output);
}
int GetCachedSize() const { return _cached_size_; }
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(TensorShapeProto_Dim* other);
void UnsafeMergeFrom(const TensorShapeProto_Dim& from);
protected:
explicit TensorShapeProto_Dim(::google::protobuf::Arena* arena);
private:
static void ArenaDtor(void* object);
inline void RegisterArenaDtor(::google::protobuf::Arena* arena);
private:
inline ::google::protobuf::Arena* GetArenaNoVirtual() const {
return _internal_metadata_.arena();
}
inline void* MaybeArenaPtr() const {
return _internal_metadata_.raw_arena_ptr();
}
public:
::google::protobuf::Metadata GetMetadata() const;
// nested types ----------------------------------------------------
// accessors -------------------------------------------------------
// optional int64 size = 1;
void clear_size();
static const int kSizeFieldNumber = 1;
::google::protobuf::int64 size() const;
void set_size(::google::protobuf::int64 value);
// optional string name = 2;
void clear_name();
static const int kNameFieldNumber = 2;
const ::std::string& name() const;
void set_name(const ::std::string& value);
void set_name(const char* value);
void set_name(const char* value, size_t size);
::std::string* mutable_name();
::std::string* release_name();
void set_allocated_name(::std::string* name);
::std::string* unsafe_arena_release_name();
void unsafe_arena_set_allocated_name(
::std::string* name);
// @@protoc_insertion_point(class_scope:tensorflow.TensorShapeProto.Dim)
private:
::google::protobuf::internal::InternalMetadataWithArena _internal_metadata_;
friend class ::google::protobuf::Arena;
typedef void InternalArenaConstructable_;
typedef void DestructorSkippable_;
::google::protobuf::internal::ArenaStringPtr name_;
::google::protobuf::int64 size_;
mutable int _cached_size_;
friend void protobuf_InitDefaults_tensor_5fshape_2eproto_impl();
friend void protobuf_AddDesc_tensor_5fshape_2eproto_impl();
friend void protobuf_AssignDesc_tensor_5fshape_2eproto();
friend void protobuf_ShutdownFile_tensor_5fshape_2eproto();
void InitAsDefaultInstance();
};
extern ::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto_Dim> TensorShapeProto_Dim_default_instance_;
// -------------------------------------------------------------------
class TensorShapeProto : public ::google::protobuf::Message /* @@protoc_insertion_point(class_definition:tensorflow.TensorShapeProto) */ {
public:
TensorShapeProto();
virtual ~TensorShapeProto();
TensorShapeProto(const TensorShapeProto& from);
inline TensorShapeProto& operator=(const TensorShapeProto& from) {
CopyFrom(from);
return *this;
}
inline ::google::protobuf::Arena* GetArena() const { return GetArenaNoVirtual(); }
inline void* GetMaybeArenaPointer() const {
return MaybeArenaPtr();
}
static const ::google::protobuf::Descriptor* descriptor();
static const TensorShapeProto& default_instance();
static const TensorShapeProto* internal_default_instance();
void UnsafeArenaSwap(TensorShapeProto* other);
void Swap(TensorShapeProto* other);
// implements Message ----------------------------------------------
inline TensorShapeProto* New() const { return New(NULL); }
TensorShapeProto* New(::google::protobuf::Arena* arena) const;
void CopyFrom(const ::google::protobuf::Message& from);
void MergeFrom(const ::google::protobuf::Message& from);
void CopyFrom(const TensorShapeProto& from);
void MergeFrom(const TensorShapeProto& from);
void Clear();
bool IsInitialized() const;
size_t ByteSizeLong() const;
bool MergePartialFromCodedStream(
::google::protobuf::io::CodedInputStream* input);
void SerializeWithCachedSizes(
::google::protobuf::io::CodedOutputStream* output) const;
::google::protobuf::uint8* InternalSerializeWithCachedSizesToArray(
bool deterministic, ::google::protobuf::uint8* output) const;
::google::protobuf::uint8* SerializeWithCachedSizesToArray(::google::protobuf::uint8* output) const {
return InternalSerializeWithCachedSizesToArray(false, output);
}
int GetCachedSize() const { return _cached_size_; }
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(TensorShapeProto* other);
void UnsafeMergeFrom(const TensorShapeProto& from);
protected:
explicit TensorShapeProto(::google::protobuf::Arena* arena);
private:
static void ArenaDtor(void* object);
inline void RegisterArenaDtor(::google::protobuf::Arena* arena);
private:
inline ::google::protobuf::Arena* GetArenaNoVirtual() const {
return _internal_metadata_.arena();
}
inline void* MaybeArenaPtr() const {
return _internal_metadata_.raw_arena_ptr();
}
public:
::google::protobuf::Metadata GetMetadata() const;
// nested types ----------------------------------------------------
typedef TensorShapeProto_Dim Dim;
// accessors -------------------------------------------------------
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
int dim_size() const;
void clear_dim();
static const int kDimFieldNumber = 2;
const ::tensorflow::TensorShapeProto_Dim& dim(int index) const;
::tensorflow::TensorShapeProto_Dim* mutable_dim(int index);
::tensorflow::TensorShapeProto_Dim* add_dim();
::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >*
mutable_dim();
const ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >&
dim() const;
// optional bool unknown_rank = 3;
void clear_unknown_rank();
static const int kUnknownRankFieldNumber = 3;
bool unknown_rank() const;
void set_unknown_rank(bool value);
// @@protoc_insertion_point(class_scope:tensorflow.TensorShapeProto)
private:
::google::protobuf::internal::InternalMetadataWithArena _internal_metadata_;
friend class ::google::protobuf::Arena;
typedef void InternalArenaConstructable_;
typedef void DestructorSkippable_;
::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim > dim_;
bool unknown_rank_;
mutable int _cached_size_;
friend void protobuf_InitDefaults_tensor_5fshape_2eproto_impl();
friend void protobuf_AddDesc_tensor_5fshape_2eproto_impl();
friend void protobuf_AssignDesc_tensor_5fshape_2eproto();
friend void protobuf_ShutdownFile_tensor_5fshape_2eproto();
void InitAsDefaultInstance();
};
extern ::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto> TensorShapeProto_default_instance_;
// ===================================================================
// ===================================================================
#if !PROTOBUF_INLINE_NOT_IN_HEADERS
// TensorShapeProto_Dim
// optional int64 size = 1;
inline void TensorShapeProto_Dim::clear_size() {
size_ = GOOGLE_LONGLONG(0);
}
inline ::google::protobuf::int64 TensorShapeProto_Dim::size() const {
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.Dim.size)
return size_;
}
inline void TensorShapeProto_Dim::set_size(::google::protobuf::int64 value) {
size_ = value;
// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.Dim.size)
}
// optional string name = 2;
inline void TensorShapeProto_Dim::clear_name() {
name_.ClearToEmpty(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
}
inline const ::std::string& TensorShapeProto_Dim::name() const {
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.Dim.name)
return name_.Get(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
}
inline void TensorShapeProto_Dim::set_name(const ::std::string& value) {
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value, GetArenaNoVirtual());
// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.Dim.name)
}
inline void TensorShapeProto_Dim::set_name(const char* value) {
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(value),
GetArenaNoVirtual());
// @@protoc_insertion_point(field_set_char:tensorflow.TensorShapeProto.Dim.name)
}
inline void TensorShapeProto_Dim::set_name(const char* value,
size_t size) {
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(
reinterpret_cast<const char*>(value), size), GetArenaNoVirtual());
// @@protoc_insertion_point(field_set_pointer:tensorflow.TensorShapeProto.Dim.name)
}
inline ::std::string* TensorShapeProto_Dim::mutable_name() {
// @@protoc_insertion_point(field_mutable:tensorflow.TensorShapeProto.Dim.name)
return name_.Mutable(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
}
inline ::std::string* TensorShapeProto_Dim::release_name() {
// @@protoc_insertion_point(field_release:tensorflow.TensorShapeProto.Dim.name)
return name_.Release(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
}
inline ::std::string* TensorShapeProto_Dim::unsafe_arena_release_name() {
// @@protoc_insertion_point(field_unsafe_arena_release:tensorflow.TensorShapeProto.Dim.name)
GOOGLE_DCHECK(GetArenaNoVirtual() != NULL);
return name_.UnsafeArenaRelease(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
GetArenaNoVirtual());
}
inline void TensorShapeProto_Dim::set_allocated_name(::std::string* name) {
if (name != NULL) {
} else {
}
name_.SetAllocated(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), name,
GetArenaNoVirtual());
// @@protoc_insertion_point(field_set_allocated:tensorflow.TensorShapeProto.Dim.name)
}
inline void TensorShapeProto_Dim::unsafe_arena_set_allocated_name(
::std::string* name) {
GOOGLE_DCHECK(GetArenaNoVirtual() != NULL);
if (name != NULL) {
} else {
}
name_.UnsafeArenaSetAllocated(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name, GetArenaNoVirtual());
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:tensorflow.TensorShapeProto.Dim.name)
}
inline const TensorShapeProto_Dim* TensorShapeProto_Dim::internal_default_instance() {
return &TensorShapeProto_Dim_default_instance_.get();
}
// -------------------------------------------------------------------
// TensorShapeProto
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
inline int TensorShapeProto::dim_size() const {
return dim_.size();
}
inline void TensorShapeProto::clear_dim() {
dim_.Clear();
}
inline const ::tensorflow::TensorShapeProto_Dim& TensorShapeProto::dim(int index) const {
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.dim)
return dim_.Get(index);
}
inline ::tensorflow::TensorShapeProto_Dim* TensorShapeProto::mutable_dim(int index) {
// @@protoc_insertion_point(field_mutable:tensorflow.TensorShapeProto.dim)
return dim_.Mutable(index);
}
inline ::tensorflow::TensorShapeProto_Dim* TensorShapeProto::add_dim() {
// @@protoc_insertion_point(field_add:tensorflow.TensorShapeProto.dim)
return dim_.Add();
}
inline ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >*
TensorShapeProto::mutable_dim() {
// @@protoc_insertion_point(field_mutable_list:tensorflow.TensorShapeProto.dim)
return &dim_;
}
inline const ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >&
TensorShapeProto::dim() const {
// @@protoc_insertion_point(field_list:tensorflow.TensorShapeProto.dim)
return dim_;
}
// optional bool unknown_rank = 3;
inline void TensorShapeProto::clear_unknown_rank() {
unknown_rank_ = false;
}
inline bool TensorShapeProto::unknown_rank() const {
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.unknown_rank)
return unknown_rank_;
}
inline void TensorShapeProto::set_unknown_rank(bool value) {
unknown_rank_ = value;
// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.unknown_rank)
}
inline const TensorShapeProto* TensorShapeProto::internal_default_instance() {
return &TensorShapeProto_default_instance_.get();
}
#endif // !PROTOBUF_INLINE_NOT_IN_HEADERS
// -------------------------------------------------------------------
// @@protoc_insertion_point(namespace_scope)
} // namespace tensorflow
// @@protoc_insertion_point(global_scope)
#endif // PROTOBUF_tensor_5fshape_2eproto__INCLUDED