mirror of
https://github.com/opencv/opencv.git
synced 2024-12-16 18:39:12 +08:00
424 lines
15 KiB
C
424 lines
15 KiB
C
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// Generated by the protocol buffer compiler. DO NOT EDIT!
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// source: tensor_shape.proto
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#ifndef PROTOBUF_tensor_5fshape_2eproto__INCLUDED
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#define PROTOBUF_tensor_5fshape_2eproto__INCLUDED
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#include <string>
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#include <google/protobuf/stubs/common.h>
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#if GOOGLE_PROTOBUF_VERSION < 3001000
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#error This file was generated by a newer version of protoc which is
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#error incompatible with your Protocol Buffer headers. Please update
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#error your headers.
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#endif
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#if 3001000 < GOOGLE_PROTOBUF_MIN_PROTOC_VERSION
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#error This file was generated by an older version of protoc which is
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#error incompatible with your Protocol Buffer headers. Please
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#error regenerate this file with a newer version of protoc.
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#endif
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#include <google/protobuf/arena.h>
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#include <google/protobuf/arenastring.h>
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#include <google/protobuf/generated_message_util.h>
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#include <google/protobuf/metadata.h>
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#include <google/protobuf/message.h>
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#include <google/protobuf/repeated_field.h>
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#include <google/protobuf/extension_set.h>
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#include <google/protobuf/unknown_field_set.h>
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// @@protoc_insertion_point(includes)
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namespace tensorflow {
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// Internal implementation detail -- do not call these.
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void protobuf_AddDesc_tensor_5fshape_2eproto();
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void protobuf_InitDefaults_tensor_5fshape_2eproto();
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void protobuf_AssignDesc_tensor_5fshape_2eproto();
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void protobuf_ShutdownFile_tensor_5fshape_2eproto();
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class TensorShapeProto;
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class TensorShapeProto_Dim;
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// ===================================================================
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class TensorShapeProto_Dim : public ::google::protobuf::Message /* @@protoc_insertion_point(class_definition:tensorflow.TensorShapeProto.Dim) */ {
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public:
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TensorShapeProto_Dim();
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virtual ~TensorShapeProto_Dim();
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TensorShapeProto_Dim(const TensorShapeProto_Dim& from);
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inline TensorShapeProto_Dim& operator=(const TensorShapeProto_Dim& from) {
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CopyFrom(from);
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return *this;
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}
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inline ::google::protobuf::Arena* GetArena() const { return GetArenaNoVirtual(); }
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inline void* GetMaybeArenaPointer() const {
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return MaybeArenaPtr();
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}
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static const ::google::protobuf::Descriptor* descriptor();
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static const TensorShapeProto_Dim& default_instance();
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static const TensorShapeProto_Dim* internal_default_instance();
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void UnsafeArenaSwap(TensorShapeProto_Dim* other);
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void Swap(TensorShapeProto_Dim* other);
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// implements Message ----------------------------------------------
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inline TensorShapeProto_Dim* New() const { return New(NULL); }
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TensorShapeProto_Dim* New(::google::protobuf::Arena* arena) const;
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void CopyFrom(const ::google::protobuf::Message& from);
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void MergeFrom(const ::google::protobuf::Message& from);
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void CopyFrom(const TensorShapeProto_Dim& from);
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void MergeFrom(const TensorShapeProto_Dim& from);
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void Clear();
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bool IsInitialized() const;
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size_t ByteSizeLong() const;
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bool MergePartialFromCodedStream(
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::google::protobuf::io::CodedInputStream* input);
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void SerializeWithCachedSizes(
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::google::protobuf::io::CodedOutputStream* output) const;
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::google::protobuf::uint8* InternalSerializeWithCachedSizesToArray(
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bool deterministic, ::google::protobuf::uint8* output) const;
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::google::protobuf::uint8* SerializeWithCachedSizesToArray(::google::protobuf::uint8* output) const {
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return InternalSerializeWithCachedSizesToArray(false, output);
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}
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int GetCachedSize() const { return _cached_size_; }
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private:
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void SharedCtor();
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void SharedDtor();
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void SetCachedSize(int size) const;
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void InternalSwap(TensorShapeProto_Dim* other);
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void UnsafeMergeFrom(const TensorShapeProto_Dim& from);
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protected:
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explicit TensorShapeProto_Dim(::google::protobuf::Arena* arena);
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private:
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static void ArenaDtor(void* object);
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inline void RegisterArenaDtor(::google::protobuf::Arena* arena);
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private:
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inline ::google::protobuf::Arena* GetArenaNoVirtual() const {
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return _internal_metadata_.arena();
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}
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inline void* MaybeArenaPtr() const {
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return _internal_metadata_.raw_arena_ptr();
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}
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public:
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::google::protobuf::Metadata GetMetadata() const;
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// nested types ----------------------------------------------------
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// accessors -------------------------------------------------------
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// optional int64 size = 1;
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void clear_size();
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static const int kSizeFieldNumber = 1;
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::google::protobuf::int64 size() const;
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void set_size(::google::protobuf::int64 value);
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// optional string name = 2;
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void clear_name();
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static const int kNameFieldNumber = 2;
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const ::std::string& name() const;
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void set_name(const ::std::string& value);
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void set_name(const char* value);
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void set_name(const char* value, size_t size);
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::std::string* mutable_name();
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::std::string* release_name();
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void set_allocated_name(::std::string* name);
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::std::string* unsafe_arena_release_name();
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void unsafe_arena_set_allocated_name(
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::std::string* name);
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// @@protoc_insertion_point(class_scope:tensorflow.TensorShapeProto.Dim)
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private:
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::google::protobuf::internal::InternalMetadataWithArena _internal_metadata_;
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friend class ::google::protobuf::Arena;
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typedef void InternalArenaConstructable_;
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typedef void DestructorSkippable_;
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::google::protobuf::internal::ArenaStringPtr name_;
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::google::protobuf::int64 size_;
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mutable int _cached_size_;
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friend void protobuf_InitDefaults_tensor_5fshape_2eproto_impl();
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friend void protobuf_AddDesc_tensor_5fshape_2eproto_impl();
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friend void protobuf_AssignDesc_tensor_5fshape_2eproto();
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friend void protobuf_ShutdownFile_tensor_5fshape_2eproto();
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void InitAsDefaultInstance();
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};
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extern ::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto_Dim> TensorShapeProto_Dim_default_instance_;
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// -------------------------------------------------------------------
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class TensorShapeProto : public ::google::protobuf::Message /* @@protoc_insertion_point(class_definition:tensorflow.TensorShapeProto) */ {
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public:
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TensorShapeProto();
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virtual ~TensorShapeProto();
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TensorShapeProto(const TensorShapeProto& from);
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inline TensorShapeProto& operator=(const TensorShapeProto& from) {
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CopyFrom(from);
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return *this;
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}
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inline ::google::protobuf::Arena* GetArena() const { return GetArenaNoVirtual(); }
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inline void* GetMaybeArenaPointer() const {
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return MaybeArenaPtr();
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}
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static const ::google::protobuf::Descriptor* descriptor();
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static const TensorShapeProto& default_instance();
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static const TensorShapeProto* internal_default_instance();
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void UnsafeArenaSwap(TensorShapeProto* other);
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void Swap(TensorShapeProto* other);
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// implements Message ----------------------------------------------
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inline TensorShapeProto* New() const { return New(NULL); }
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TensorShapeProto* New(::google::protobuf::Arena* arena) const;
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void CopyFrom(const ::google::protobuf::Message& from);
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void MergeFrom(const ::google::protobuf::Message& from);
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void CopyFrom(const TensorShapeProto& from);
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void MergeFrom(const TensorShapeProto& from);
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void Clear();
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bool IsInitialized() const;
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size_t ByteSizeLong() const;
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bool MergePartialFromCodedStream(
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::google::protobuf::io::CodedInputStream* input);
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void SerializeWithCachedSizes(
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::google::protobuf::io::CodedOutputStream* output) const;
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::google::protobuf::uint8* InternalSerializeWithCachedSizesToArray(
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bool deterministic, ::google::protobuf::uint8* output) const;
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::google::protobuf::uint8* SerializeWithCachedSizesToArray(::google::protobuf::uint8* output) const {
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return InternalSerializeWithCachedSizesToArray(false, output);
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}
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int GetCachedSize() const { return _cached_size_; }
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private:
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void SharedCtor();
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void SharedDtor();
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void SetCachedSize(int size) const;
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void InternalSwap(TensorShapeProto* other);
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void UnsafeMergeFrom(const TensorShapeProto& from);
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protected:
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explicit TensorShapeProto(::google::protobuf::Arena* arena);
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private:
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static void ArenaDtor(void* object);
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inline void RegisterArenaDtor(::google::protobuf::Arena* arena);
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private:
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inline ::google::protobuf::Arena* GetArenaNoVirtual() const {
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return _internal_metadata_.arena();
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}
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inline void* MaybeArenaPtr() const {
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return _internal_metadata_.raw_arena_ptr();
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}
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public:
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::google::protobuf::Metadata GetMetadata() const;
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// nested types ----------------------------------------------------
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typedef TensorShapeProto_Dim Dim;
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// accessors -------------------------------------------------------
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// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
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int dim_size() const;
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void clear_dim();
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static const int kDimFieldNumber = 2;
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const ::tensorflow::TensorShapeProto_Dim& dim(int index) const;
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::tensorflow::TensorShapeProto_Dim* mutable_dim(int index);
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::tensorflow::TensorShapeProto_Dim* add_dim();
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::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >*
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mutable_dim();
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const ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >&
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dim() const;
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// optional bool unknown_rank = 3;
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void clear_unknown_rank();
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static const int kUnknownRankFieldNumber = 3;
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bool unknown_rank() const;
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void set_unknown_rank(bool value);
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// @@protoc_insertion_point(class_scope:tensorflow.TensorShapeProto)
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private:
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::google::protobuf::internal::InternalMetadataWithArena _internal_metadata_;
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friend class ::google::protobuf::Arena;
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typedef void InternalArenaConstructable_;
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typedef void DestructorSkippable_;
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::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim > dim_;
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bool unknown_rank_;
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mutable int _cached_size_;
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friend void protobuf_InitDefaults_tensor_5fshape_2eproto_impl();
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friend void protobuf_AddDesc_tensor_5fshape_2eproto_impl();
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friend void protobuf_AssignDesc_tensor_5fshape_2eproto();
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friend void protobuf_ShutdownFile_tensor_5fshape_2eproto();
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void InitAsDefaultInstance();
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};
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extern ::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto> TensorShapeProto_default_instance_;
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// ===================================================================
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// ===================================================================
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#if !PROTOBUF_INLINE_NOT_IN_HEADERS
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// TensorShapeProto_Dim
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// optional int64 size = 1;
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inline void TensorShapeProto_Dim::clear_size() {
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size_ = GOOGLE_LONGLONG(0);
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}
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inline ::google::protobuf::int64 TensorShapeProto_Dim::size() const {
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// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.Dim.size)
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return size_;
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}
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inline void TensorShapeProto_Dim::set_size(::google::protobuf::int64 value) {
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size_ = value;
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// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.Dim.size)
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}
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// optional string name = 2;
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inline void TensorShapeProto_Dim::clear_name() {
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name_.ClearToEmpty(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
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}
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inline const ::std::string& TensorShapeProto_Dim::name() const {
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// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.Dim.name)
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return name_.Get(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
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}
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inline void TensorShapeProto_Dim::set_name(const ::std::string& value) {
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name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value, GetArenaNoVirtual());
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// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.Dim.name)
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}
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inline void TensorShapeProto_Dim::set_name(const char* value) {
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name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(value),
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GetArenaNoVirtual());
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// @@protoc_insertion_point(field_set_char:tensorflow.TensorShapeProto.Dim.name)
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}
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inline void TensorShapeProto_Dim::set_name(const char* value,
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size_t size) {
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name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(
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reinterpret_cast<const char*>(value), size), GetArenaNoVirtual());
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// @@protoc_insertion_point(field_set_pointer:tensorflow.TensorShapeProto.Dim.name)
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}
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inline ::std::string* TensorShapeProto_Dim::mutable_name() {
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// @@protoc_insertion_point(field_mutable:tensorflow.TensorShapeProto.Dim.name)
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return name_.Mutable(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
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}
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inline ::std::string* TensorShapeProto_Dim::release_name() {
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// @@protoc_insertion_point(field_release:tensorflow.TensorShapeProto.Dim.name)
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return name_.Release(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
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}
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inline ::std::string* TensorShapeProto_Dim::unsafe_arena_release_name() {
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// @@protoc_insertion_point(field_unsafe_arena_release:tensorflow.TensorShapeProto.Dim.name)
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GOOGLE_DCHECK(GetArenaNoVirtual() != NULL);
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return name_.UnsafeArenaRelease(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
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GetArenaNoVirtual());
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}
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inline void TensorShapeProto_Dim::set_allocated_name(::std::string* name) {
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if (name != NULL) {
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} else {
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}
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name_.SetAllocated(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), name,
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GetArenaNoVirtual());
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// @@protoc_insertion_point(field_set_allocated:tensorflow.TensorShapeProto.Dim.name)
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}
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inline void TensorShapeProto_Dim::unsafe_arena_set_allocated_name(
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::std::string* name) {
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GOOGLE_DCHECK(GetArenaNoVirtual() != NULL);
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if (name != NULL) {
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} else {
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}
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name_.UnsafeArenaSetAllocated(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
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name, GetArenaNoVirtual());
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// @@protoc_insertion_point(field_unsafe_arena_set_allocated:tensorflow.TensorShapeProto.Dim.name)
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}
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inline const TensorShapeProto_Dim* TensorShapeProto_Dim::internal_default_instance() {
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return &TensorShapeProto_Dim_default_instance_.get();
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}
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// -------------------------------------------------------------------
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// TensorShapeProto
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// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
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inline int TensorShapeProto::dim_size() const {
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return dim_.size();
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}
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inline void TensorShapeProto::clear_dim() {
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dim_.Clear();
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}
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inline const ::tensorflow::TensorShapeProto_Dim& TensorShapeProto::dim(int index) const {
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// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.dim)
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return dim_.Get(index);
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}
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inline ::tensorflow::TensorShapeProto_Dim* TensorShapeProto::mutable_dim(int index) {
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// @@protoc_insertion_point(field_mutable:tensorflow.TensorShapeProto.dim)
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return dim_.Mutable(index);
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}
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inline ::tensorflow::TensorShapeProto_Dim* TensorShapeProto::add_dim() {
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// @@protoc_insertion_point(field_add:tensorflow.TensorShapeProto.dim)
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return dim_.Add();
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}
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inline ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >*
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TensorShapeProto::mutable_dim() {
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// @@protoc_insertion_point(field_mutable_list:tensorflow.TensorShapeProto.dim)
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return &dim_;
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}
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inline const ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >&
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TensorShapeProto::dim() const {
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// @@protoc_insertion_point(field_list:tensorflow.TensorShapeProto.dim)
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return dim_;
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}
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// optional bool unknown_rank = 3;
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inline void TensorShapeProto::clear_unknown_rank() {
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unknown_rank_ = false;
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}
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inline bool TensorShapeProto::unknown_rank() const {
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// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.unknown_rank)
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||
|
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
|