// 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 #include #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 #include #include #include #include #include #include #include // @@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_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_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(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