// Generated by the protocol buffer compiler. DO NOT EDIT! // source: tsl/protobuf/rpc_options.proto #ifndef GOOGLE_PROTOBUF_INCLUDED_tsl_2fprotobuf_2frpc_5foptions_2eproto #define GOOGLE_PROTOBUF_INCLUDED_tsl_2fprotobuf_2frpc_5foptions_2eproto #include #include #include #if PROTOBUF_VERSION < 3021000 #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 3021009 < 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 #include // IWYU pragma: export #include // IWYU pragma: export #include // @@protoc_insertion_point(includes) #include #define PROTOBUF_INTERNAL_EXPORT_tsl_2fprotobuf_2frpc_5foptions_2eproto PROTOBUF_NAMESPACE_OPEN namespace internal { class AnyMetadata; } // namespace internal PROTOBUF_NAMESPACE_CLOSE // Internal implementation detail -- do not use these members. struct TableStruct_tsl_2fprotobuf_2frpc_5foptions_2eproto { static const uint32_t offsets[]; }; extern const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_tsl_2fprotobuf_2frpc_5foptions_2eproto; namespace tensorflow { class RPCOptions; struct RPCOptionsDefaultTypeInternal; extern RPCOptionsDefaultTypeInternal _RPCOptions_default_instance_; } // namespace tensorflow PROTOBUF_NAMESPACE_OPEN template<> ::tensorflow::RPCOptions* Arena::CreateMaybeMessage<::tensorflow::RPCOptions>(Arena*); PROTOBUF_NAMESPACE_CLOSE namespace tensorflow { // =================================================================== class RPCOptions final : public ::PROTOBUF_NAMESPACE_ID::Message /* @@protoc_insertion_point(class_definition:tensorflow.RPCOptions) */ { public: inline RPCOptions() : RPCOptions(nullptr) {} ~RPCOptions() override; explicit PROTOBUF_CONSTEXPR RPCOptions(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized); RPCOptions(const RPCOptions& from); RPCOptions(RPCOptions&& from) noexcept : RPCOptions() { *this = ::std::move(from); } inline RPCOptions& operator=(const RPCOptions& from) { CopyFrom(from); return *this; } inline RPCOptions& operator=(RPCOptions&& 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 RPCOptions& default_instance() { return *internal_default_instance(); } static inline const RPCOptions* internal_default_instance() { return reinterpret_cast( &_RPCOptions_default_instance_); } static constexpr int kIndexInFileMessages = 0; friend void swap(RPCOptions& a, RPCOptions& b) { a.Swap(&b); } inline void Swap(RPCOptions* 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(RPCOptions* other) { if (other == this) return; GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena()); InternalSwap(other); } // implements Message ---------------------------------------------- RPCOptions* New(::PROTOBUF_NAMESPACE_ID::Arena* arena = nullptr) const final { return CreateMaybeMessage(arena); } using ::PROTOBUF_NAMESPACE_ID::Message::CopyFrom; void CopyFrom(const RPCOptions& from); using ::PROTOBUF_NAMESPACE_ID::Message::MergeFrom; void MergeFrom( const RPCOptions& from) { RPCOptions::MergeImpl(*this, from); } private: static void MergeImpl(::PROTOBUF_NAMESPACE_ID::Message& to_msg, const ::PROTOBUF_NAMESPACE_ID::Message& from_msg); 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 _impl_._cached_size_.Get(); } private: void SharedCtor(::PROTOBUF_NAMESPACE_ID::Arena* arena, bool is_message_owned); void SharedDtor(); void SetCachedSize(int size) const final; void InternalSwap(RPCOptions* other); private: friend class ::PROTOBUF_NAMESPACE_ID::internal::AnyMetadata; static ::PROTOBUF_NAMESPACE_ID::StringPiece FullMessageName() { return "tensorflow.RPCOptions"; } protected: explicit RPCOptions(::PROTOBUF_NAMESPACE_ID::Arena* arena, bool is_message_owned = false); 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 { kCompressionAlgorithmFieldNumber = 2, kCompressionLevelFieldNumber = 3, kUseRpcForInprocessMasterFieldNumber = 1, kCacheRpcResponseFieldNumber = 4, kDisableSessionConnectionSharingFieldNumber = 5, kNumChannelsPerTargetFieldNumber = 6, }; // string compression_algorithm = 2; void clear_compression_algorithm(); const std::string& compression_algorithm() const; template void set_compression_algorithm(ArgT0&& arg0, ArgT... args); std::string* mutable_compression_algorithm(); PROTOBUF_NODISCARD std::string* release_compression_algorithm(); void set_allocated_compression_algorithm(std::string* compression_algorithm); private: const std::string& _internal_compression_algorithm() const; inline PROTOBUF_ALWAYS_INLINE void _internal_set_compression_algorithm(const std::string& value); std::string* _internal_mutable_compression_algorithm(); public: // int32 compression_level = 3; void clear_compression_level(); int32_t compression_level() const; void set_compression_level(int32_t value); private: int32_t _internal_compression_level() const; void _internal_set_compression_level(int32_t value); public: // bool use_rpc_for_inprocess_master = 1; void clear_use_rpc_for_inprocess_master(); bool use_rpc_for_inprocess_master() const; void set_use_rpc_for_inprocess_master(bool value); private: bool _internal_use_rpc_for_inprocess_master() const; void _internal_set_use_rpc_for_inprocess_master(bool value); public: // bool cache_rpc_response = 4; void clear_cache_rpc_response(); bool cache_rpc_response() const; void set_cache_rpc_response(bool value); private: bool _internal_cache_rpc_response() const; void _internal_set_cache_rpc_response(bool value); public: // bool disable_session_connection_sharing = 5; void clear_disable_session_connection_sharing(); bool disable_session_connection_sharing() const; void set_disable_session_connection_sharing(bool value); private: bool _internal_disable_session_connection_sharing() const; void _internal_set_disable_session_connection_sharing(bool value); public: // int32 num_channels_per_target = 6; void clear_num_channels_per_target(); int32_t num_channels_per_target() const; void set_num_channels_per_target(int32_t value); private: int32_t _internal_num_channels_per_target() const; void _internal_set_num_channels_per_target(int32_t value); public: // @@protoc_insertion_point(class_scope:tensorflow.RPCOptions) private: class _Internal; template friend class ::PROTOBUF_NAMESPACE_ID::Arena::InternalHelper; typedef void InternalArenaConstructable_; typedef void DestructorSkippable_; struct Impl_ { ::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr compression_algorithm_; int32_t compression_level_; bool use_rpc_for_inprocess_master_; bool cache_rpc_response_; bool disable_session_connection_sharing_; int32_t num_channels_per_target_; mutable ::PROTOBUF_NAMESPACE_ID::internal::CachedSize _cached_size_; }; union { Impl_ _impl_; }; friend struct ::TableStruct_tsl_2fprotobuf_2frpc_5foptions_2eproto; }; // =================================================================== // =================================================================== #ifdef __GNUC__ #pragma GCC diagnostic push #pragma GCC diagnostic ignored "-Wstrict-aliasing" #endif // __GNUC__ // RPCOptions // bool use_rpc_for_inprocess_master = 1; inline void RPCOptions::clear_use_rpc_for_inprocess_master() { _impl_.use_rpc_for_inprocess_master_ = false; } inline bool RPCOptions::_internal_use_rpc_for_inprocess_master() const { return _impl_.use_rpc_for_inprocess_master_; } inline bool RPCOptions::use_rpc_for_inprocess_master() const { // @@protoc_insertion_point(field_get:tensorflow.RPCOptions.use_rpc_for_inprocess_master) return _internal_use_rpc_for_inprocess_master(); } inline void RPCOptions::_internal_set_use_rpc_for_inprocess_master(bool value) { _impl_.use_rpc_for_inprocess_master_ = value; } inline void RPCOptions::set_use_rpc_for_inprocess_master(bool value) { _internal_set_use_rpc_for_inprocess_master(value); // @@protoc_insertion_point(field_set:tensorflow.RPCOptions.use_rpc_for_inprocess_master) } // string compression_algorithm = 2; inline void RPCOptions::clear_compression_algorithm() { _impl_.compression_algorithm_.ClearToEmpty(); } inline const std::string& RPCOptions::compression_algorithm() const { // @@protoc_insertion_point(field_get:tensorflow.RPCOptions.compression_algorithm) return _internal_compression_algorithm(); } template inline PROTOBUF_ALWAYS_INLINE void RPCOptions::set_compression_algorithm(ArgT0&& arg0, ArgT... args) { _impl_.compression_algorithm_.Set(static_cast(arg0), args..., GetArenaForAllocation()); // @@protoc_insertion_point(field_set:tensorflow.RPCOptions.compression_algorithm) } inline std::string* RPCOptions::mutable_compression_algorithm() { std::string* _s = _internal_mutable_compression_algorithm(); // @@protoc_insertion_point(field_mutable:tensorflow.RPCOptions.compression_algorithm) return _s; } inline const std::string& RPCOptions::_internal_compression_algorithm() const { return _impl_.compression_algorithm_.Get(); } inline void RPCOptions::_internal_set_compression_algorithm(const std::string& value) { _impl_.compression_algorithm_.Set(value, GetArenaForAllocation()); } inline std::string* RPCOptions::_internal_mutable_compression_algorithm() { return _impl_.compression_algorithm_.Mutable(GetArenaForAllocation()); } inline std::string* RPCOptions::release_compression_algorithm() { // @@protoc_insertion_point(field_release:tensorflow.RPCOptions.compression_algorithm) return _impl_.compression_algorithm_.Release(); } inline void RPCOptions::set_allocated_compression_algorithm(std::string* compression_algorithm) { if (compression_algorithm != nullptr) { } else { } _impl_.compression_algorithm_.SetAllocated(compression_algorithm, GetArenaForAllocation()); #ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING if (_impl_.compression_algorithm_.IsDefault()) { _impl_.compression_algorithm_.Set("", GetArenaForAllocation()); } #endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING // @@protoc_insertion_point(field_set_allocated:tensorflow.RPCOptions.compression_algorithm) } // int32 compression_level = 3; inline void RPCOptions::clear_compression_level() { _impl_.compression_level_ = 0; } inline int32_t RPCOptions::_internal_compression_level() const { return _impl_.compression_level_; } inline int32_t RPCOptions::compression_level() const { // @@protoc_insertion_point(field_get:tensorflow.RPCOptions.compression_level) return _internal_compression_level(); } inline void RPCOptions::_internal_set_compression_level(int32_t value) { _impl_.compression_level_ = value; } inline void RPCOptions::set_compression_level(int32_t value) { _internal_set_compression_level(value); // @@protoc_insertion_point(field_set:tensorflow.RPCOptions.compression_level) } // bool cache_rpc_response = 4; inline void RPCOptions::clear_cache_rpc_response() { _impl_.cache_rpc_response_ = false; } inline bool RPCOptions::_internal_cache_rpc_response() const { return _impl_.cache_rpc_response_; } inline bool RPCOptions::cache_rpc_response() const { // @@protoc_insertion_point(field_get:tensorflow.RPCOptions.cache_rpc_response) return _internal_cache_rpc_response(); } inline void RPCOptions::_internal_set_cache_rpc_response(bool value) { _impl_.cache_rpc_response_ = value; } inline void RPCOptions::set_cache_rpc_response(bool value) { _internal_set_cache_rpc_response(value); // @@protoc_insertion_point(field_set:tensorflow.RPCOptions.cache_rpc_response) } // bool disable_session_connection_sharing = 5; inline void RPCOptions::clear_disable_session_connection_sharing() { _impl_.disable_session_connection_sharing_ = false; } inline bool RPCOptions::_internal_disable_session_connection_sharing() const { return _impl_.disable_session_connection_sharing_; } inline bool RPCOptions::disable_session_connection_sharing() const { // @@protoc_insertion_point(field_get:tensorflow.RPCOptions.disable_session_connection_sharing) return _internal_disable_session_connection_sharing(); } inline void RPCOptions::_internal_set_disable_session_connection_sharing(bool value) { _impl_.disable_session_connection_sharing_ = value; } inline void RPCOptions::set_disable_session_connection_sharing(bool value) { _internal_set_disable_session_connection_sharing(value); // @@protoc_insertion_point(field_set:tensorflow.RPCOptions.disable_session_connection_sharing) } // int32 num_channels_per_target = 6; inline void RPCOptions::clear_num_channels_per_target() { _impl_.num_channels_per_target_ = 0; } inline int32_t RPCOptions::_internal_num_channels_per_target() const { return _impl_.num_channels_per_target_; } inline int32_t RPCOptions::num_channels_per_target() const { // @@protoc_insertion_point(field_get:tensorflow.RPCOptions.num_channels_per_target) return _internal_num_channels_per_target(); } inline void RPCOptions::_internal_set_num_channels_per_target(int32_t value) { _impl_.num_channels_per_target_ = value; } inline void RPCOptions::set_num_channels_per_target(int32_t value) { _internal_set_num_channels_per_target(value); // @@protoc_insertion_point(field_set:tensorflow.RPCOptions.num_channels_per_target) } #ifdef __GNUC__ #pragma GCC diagnostic pop #endif // __GNUC__ // @@protoc_insertion_point(namespace_scope) } // namespace tensorflow // @@protoc_insertion_point(global_scope) #include #endif // GOOGLE_PROTOBUF_INCLUDED_GOOGLE_PROTOBUF_INCLUDED_tsl_2fprotobuf_2frpc_5foptions_2eproto