438 lines
16 KiB
C++
438 lines
16 KiB
C++
// Generated by the protocol buffer compiler. DO NOT EDIT!
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// source: tsl/protobuf/rpc_options.proto
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#ifndef GOOGLE_PROTOBUF_INCLUDED_tsl_2fprotobuf_2frpc_5foptions_2eproto
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#define GOOGLE_PROTOBUF_INCLUDED_tsl_2fprotobuf_2frpc_5foptions_2eproto
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#include <limits>
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#include <string>
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#include <google/protobuf/port_def.inc>
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#if PROTOBUF_VERSION < 3021000
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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 3021009 < 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/port_undef.inc>
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#include <google/protobuf/io/coded_stream.h>
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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_lite.h>
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#include <google/protobuf/generated_message_reflection.h>
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#include <google/protobuf/message.h>
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#include <google/protobuf/repeated_field.h> // IWYU pragma: export
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#include <google/protobuf/extension_set.h> // IWYU pragma: export
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#include <google/protobuf/unknown_field_set.h>
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// @@protoc_insertion_point(includes)
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#include <google/protobuf/port_def.inc>
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#define PROTOBUF_INTERNAL_EXPORT_tsl_2fprotobuf_2frpc_5foptions_2eproto
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PROTOBUF_NAMESPACE_OPEN
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namespace internal {
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class AnyMetadata;
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} // namespace internal
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PROTOBUF_NAMESPACE_CLOSE
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// Internal implementation detail -- do not use these members.
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struct TableStruct_tsl_2fprotobuf_2frpc_5foptions_2eproto {
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static const uint32_t offsets[];
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};
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extern const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_tsl_2fprotobuf_2frpc_5foptions_2eproto;
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namespace tensorflow {
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class RPCOptions;
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struct RPCOptionsDefaultTypeInternal;
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extern RPCOptionsDefaultTypeInternal _RPCOptions_default_instance_;
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} // namespace tensorflow
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PROTOBUF_NAMESPACE_OPEN
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template<> ::tensorflow::RPCOptions* Arena::CreateMaybeMessage<::tensorflow::RPCOptions>(Arena*);
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PROTOBUF_NAMESPACE_CLOSE
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namespace tensorflow {
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// ===================================================================
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class RPCOptions final :
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public ::PROTOBUF_NAMESPACE_ID::Message /* @@protoc_insertion_point(class_definition:tensorflow.RPCOptions) */ {
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public:
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inline RPCOptions() : RPCOptions(nullptr) {}
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~RPCOptions() override;
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explicit PROTOBUF_CONSTEXPR RPCOptions(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized);
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RPCOptions(const RPCOptions& from);
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RPCOptions(RPCOptions&& from) noexcept
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: RPCOptions() {
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*this = ::std::move(from);
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}
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inline RPCOptions& operator=(const RPCOptions& from) {
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CopyFrom(from);
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return *this;
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}
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inline RPCOptions& operator=(RPCOptions&& from) noexcept {
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if (this == &from) return *this;
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if (GetOwningArena() == from.GetOwningArena()
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#ifdef PROTOBUF_FORCE_COPY_IN_MOVE
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&& GetOwningArena() != nullptr
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#endif // !PROTOBUF_FORCE_COPY_IN_MOVE
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) {
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InternalSwap(&from);
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} else {
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CopyFrom(from);
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}
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return *this;
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}
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static const ::PROTOBUF_NAMESPACE_ID::Descriptor* descriptor() {
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return GetDescriptor();
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}
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static const ::PROTOBUF_NAMESPACE_ID::Descriptor* GetDescriptor() {
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return default_instance().GetMetadata().descriptor;
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}
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static const ::PROTOBUF_NAMESPACE_ID::Reflection* GetReflection() {
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return default_instance().GetMetadata().reflection;
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}
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static const RPCOptions& default_instance() {
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return *internal_default_instance();
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}
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static inline const RPCOptions* internal_default_instance() {
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return reinterpret_cast<const RPCOptions*>(
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&_RPCOptions_default_instance_);
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}
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static constexpr int kIndexInFileMessages =
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0;
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friend void swap(RPCOptions& a, RPCOptions& b) {
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a.Swap(&b);
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}
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inline void Swap(RPCOptions* other) {
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if (other == this) return;
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#ifdef PROTOBUF_FORCE_COPY_IN_SWAP
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if (GetOwningArena() != nullptr &&
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GetOwningArena() == other->GetOwningArena()) {
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#else // PROTOBUF_FORCE_COPY_IN_SWAP
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if (GetOwningArena() == other->GetOwningArena()) {
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#endif // !PROTOBUF_FORCE_COPY_IN_SWAP
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InternalSwap(other);
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} else {
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::PROTOBUF_NAMESPACE_ID::internal::GenericSwap(this, other);
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}
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}
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void UnsafeArenaSwap(RPCOptions* other) {
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if (other == this) return;
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GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena());
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InternalSwap(other);
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}
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// implements Message ----------------------------------------------
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RPCOptions* New(::PROTOBUF_NAMESPACE_ID::Arena* arena = nullptr) const final {
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return CreateMaybeMessage<RPCOptions>(arena);
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}
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using ::PROTOBUF_NAMESPACE_ID::Message::CopyFrom;
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void CopyFrom(const RPCOptions& from);
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using ::PROTOBUF_NAMESPACE_ID::Message::MergeFrom;
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void MergeFrom( const RPCOptions& from) {
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RPCOptions::MergeImpl(*this, from);
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}
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private:
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static void MergeImpl(::PROTOBUF_NAMESPACE_ID::Message& to_msg, const ::PROTOBUF_NAMESPACE_ID::Message& from_msg);
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public:
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PROTOBUF_ATTRIBUTE_REINITIALIZES void Clear() final;
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bool IsInitialized() const final;
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size_t ByteSizeLong() const final;
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const char* _InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) final;
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uint8_t* _InternalSerialize(
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uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const final;
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int GetCachedSize() const final { return _impl_._cached_size_.Get(); }
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private:
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void SharedCtor(::PROTOBUF_NAMESPACE_ID::Arena* arena, bool is_message_owned);
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void SharedDtor();
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void SetCachedSize(int size) const final;
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void InternalSwap(RPCOptions* other);
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private:
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friend class ::PROTOBUF_NAMESPACE_ID::internal::AnyMetadata;
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static ::PROTOBUF_NAMESPACE_ID::StringPiece FullMessageName() {
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return "tensorflow.RPCOptions";
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}
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protected:
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explicit RPCOptions(::PROTOBUF_NAMESPACE_ID::Arena* arena,
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bool is_message_owned = false);
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public:
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static const ClassData _class_data_;
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const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*GetClassData() const final;
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::PROTOBUF_NAMESPACE_ID::Metadata GetMetadata() const final;
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// nested types ----------------------------------------------------
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// accessors -------------------------------------------------------
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enum : int {
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kCompressionAlgorithmFieldNumber = 2,
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kCompressionLevelFieldNumber = 3,
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kUseRpcForInprocessMasterFieldNumber = 1,
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kCacheRpcResponseFieldNumber = 4,
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kDisableSessionConnectionSharingFieldNumber = 5,
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kNumChannelsPerTargetFieldNumber = 6,
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};
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// string compression_algorithm = 2;
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void clear_compression_algorithm();
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const std::string& compression_algorithm() const;
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template <typename ArgT0 = const std::string&, typename... ArgT>
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void set_compression_algorithm(ArgT0&& arg0, ArgT... args);
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std::string* mutable_compression_algorithm();
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PROTOBUF_NODISCARD std::string* release_compression_algorithm();
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void set_allocated_compression_algorithm(std::string* compression_algorithm);
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private:
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const std::string& _internal_compression_algorithm() const;
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inline PROTOBUF_ALWAYS_INLINE void _internal_set_compression_algorithm(const std::string& value);
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std::string* _internal_mutable_compression_algorithm();
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public:
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// int32 compression_level = 3;
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void clear_compression_level();
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int32_t compression_level() const;
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void set_compression_level(int32_t value);
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private:
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int32_t _internal_compression_level() const;
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void _internal_set_compression_level(int32_t value);
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public:
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// bool use_rpc_for_inprocess_master = 1;
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void clear_use_rpc_for_inprocess_master();
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bool use_rpc_for_inprocess_master() const;
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void set_use_rpc_for_inprocess_master(bool value);
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private:
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bool _internal_use_rpc_for_inprocess_master() const;
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void _internal_set_use_rpc_for_inprocess_master(bool value);
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public:
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// bool cache_rpc_response = 4;
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void clear_cache_rpc_response();
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bool cache_rpc_response() const;
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void set_cache_rpc_response(bool value);
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private:
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bool _internal_cache_rpc_response() const;
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void _internal_set_cache_rpc_response(bool value);
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public:
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// bool disable_session_connection_sharing = 5;
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void clear_disable_session_connection_sharing();
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bool disable_session_connection_sharing() const;
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void set_disable_session_connection_sharing(bool value);
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private:
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bool _internal_disable_session_connection_sharing() const;
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void _internal_set_disable_session_connection_sharing(bool value);
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public:
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// int32 num_channels_per_target = 6;
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void clear_num_channels_per_target();
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int32_t num_channels_per_target() const;
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void set_num_channels_per_target(int32_t value);
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private:
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int32_t _internal_num_channels_per_target() const;
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void _internal_set_num_channels_per_target(int32_t value);
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public:
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// @@protoc_insertion_point(class_scope:tensorflow.RPCOptions)
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private:
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class _Internal;
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template <typename T> friend class ::PROTOBUF_NAMESPACE_ID::Arena::InternalHelper;
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typedef void InternalArenaConstructable_;
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typedef void DestructorSkippable_;
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struct Impl_ {
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::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr compression_algorithm_;
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int32_t compression_level_;
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bool use_rpc_for_inprocess_master_;
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bool cache_rpc_response_;
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bool disable_session_connection_sharing_;
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int32_t num_channels_per_target_;
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mutable ::PROTOBUF_NAMESPACE_ID::internal::CachedSize _cached_size_;
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};
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union { Impl_ _impl_; };
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friend struct ::TableStruct_tsl_2fprotobuf_2frpc_5foptions_2eproto;
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};
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// ===================================================================
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// ===================================================================
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#ifdef __GNUC__
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#pragma GCC diagnostic push
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#pragma GCC diagnostic ignored "-Wstrict-aliasing"
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#endif // __GNUC__
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// RPCOptions
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// bool use_rpc_for_inprocess_master = 1;
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inline void RPCOptions::clear_use_rpc_for_inprocess_master() {
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_impl_.use_rpc_for_inprocess_master_ = false;
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}
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inline bool RPCOptions::_internal_use_rpc_for_inprocess_master() const {
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return _impl_.use_rpc_for_inprocess_master_;
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}
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inline bool RPCOptions::use_rpc_for_inprocess_master() const {
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// @@protoc_insertion_point(field_get:tensorflow.RPCOptions.use_rpc_for_inprocess_master)
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return _internal_use_rpc_for_inprocess_master();
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}
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inline void RPCOptions::_internal_set_use_rpc_for_inprocess_master(bool value) {
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_impl_.use_rpc_for_inprocess_master_ = value;
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}
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inline void RPCOptions::set_use_rpc_for_inprocess_master(bool value) {
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_internal_set_use_rpc_for_inprocess_master(value);
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// @@protoc_insertion_point(field_set:tensorflow.RPCOptions.use_rpc_for_inprocess_master)
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}
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// string compression_algorithm = 2;
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inline void RPCOptions::clear_compression_algorithm() {
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_impl_.compression_algorithm_.ClearToEmpty();
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}
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inline const std::string& RPCOptions::compression_algorithm() const {
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// @@protoc_insertion_point(field_get:tensorflow.RPCOptions.compression_algorithm)
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return _internal_compression_algorithm();
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}
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template <typename ArgT0, typename... ArgT>
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inline PROTOBUF_ALWAYS_INLINE
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void RPCOptions::set_compression_algorithm(ArgT0&& arg0, ArgT... args) {
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_impl_.compression_algorithm_.Set(static_cast<ArgT0 &&>(arg0), args..., GetArenaForAllocation());
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// @@protoc_insertion_point(field_set:tensorflow.RPCOptions.compression_algorithm)
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}
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inline std::string* RPCOptions::mutable_compression_algorithm() {
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std::string* _s = _internal_mutable_compression_algorithm();
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// @@protoc_insertion_point(field_mutable:tensorflow.RPCOptions.compression_algorithm)
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return _s;
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}
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inline const std::string& RPCOptions::_internal_compression_algorithm() const {
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return _impl_.compression_algorithm_.Get();
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}
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inline void RPCOptions::_internal_set_compression_algorithm(const std::string& value) {
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_impl_.compression_algorithm_.Set(value, GetArenaForAllocation());
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}
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inline std::string* RPCOptions::_internal_mutable_compression_algorithm() {
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return _impl_.compression_algorithm_.Mutable(GetArenaForAllocation());
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}
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inline std::string* RPCOptions::release_compression_algorithm() {
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// @@protoc_insertion_point(field_release:tensorflow.RPCOptions.compression_algorithm)
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return _impl_.compression_algorithm_.Release();
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}
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inline void RPCOptions::set_allocated_compression_algorithm(std::string* compression_algorithm) {
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if (compression_algorithm != nullptr) {
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} else {
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}
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_impl_.compression_algorithm_.SetAllocated(compression_algorithm, GetArenaForAllocation());
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#ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING
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if (_impl_.compression_algorithm_.IsDefault()) {
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_impl_.compression_algorithm_.Set("", GetArenaForAllocation());
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}
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#endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING
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// @@protoc_insertion_point(field_set_allocated:tensorflow.RPCOptions.compression_algorithm)
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}
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// int32 compression_level = 3;
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inline void RPCOptions::clear_compression_level() {
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_impl_.compression_level_ = 0;
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}
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inline int32_t RPCOptions::_internal_compression_level() const {
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return _impl_.compression_level_;
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}
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inline int32_t RPCOptions::compression_level() const {
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// @@protoc_insertion_point(field_get:tensorflow.RPCOptions.compression_level)
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return _internal_compression_level();
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}
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inline void RPCOptions::_internal_set_compression_level(int32_t value) {
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_impl_.compression_level_ = value;
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}
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inline void RPCOptions::set_compression_level(int32_t value) {
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_internal_set_compression_level(value);
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// @@protoc_insertion_point(field_set:tensorflow.RPCOptions.compression_level)
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}
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// bool cache_rpc_response = 4;
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inline void RPCOptions::clear_cache_rpc_response() {
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_impl_.cache_rpc_response_ = false;
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}
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inline bool RPCOptions::_internal_cache_rpc_response() const {
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return _impl_.cache_rpc_response_;
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}
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inline bool RPCOptions::cache_rpc_response() const {
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// @@protoc_insertion_point(field_get:tensorflow.RPCOptions.cache_rpc_response)
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return _internal_cache_rpc_response();
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}
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inline void RPCOptions::_internal_set_cache_rpc_response(bool value) {
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_impl_.cache_rpc_response_ = value;
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}
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inline void RPCOptions::set_cache_rpc_response(bool value) {
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_internal_set_cache_rpc_response(value);
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// @@protoc_insertion_point(field_set:tensorflow.RPCOptions.cache_rpc_response)
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}
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// bool disable_session_connection_sharing = 5;
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inline void RPCOptions::clear_disable_session_connection_sharing() {
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_impl_.disable_session_connection_sharing_ = false;
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}
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inline bool RPCOptions::_internal_disable_session_connection_sharing() const {
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return _impl_.disable_session_connection_sharing_;
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}
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inline bool RPCOptions::disable_session_connection_sharing() const {
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// @@protoc_insertion_point(field_get:tensorflow.RPCOptions.disable_session_connection_sharing)
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return _internal_disable_session_connection_sharing();
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}
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inline void RPCOptions::_internal_set_disable_session_connection_sharing(bool value) {
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_impl_.disable_session_connection_sharing_ = value;
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}
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inline void RPCOptions::set_disable_session_connection_sharing(bool value) {
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_internal_set_disable_session_connection_sharing(value);
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// @@protoc_insertion_point(field_set:tensorflow.RPCOptions.disable_session_connection_sharing)
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}
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// int32 num_channels_per_target = 6;
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inline void RPCOptions::clear_num_channels_per_target() {
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_impl_.num_channels_per_target_ = 0;
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}
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inline int32_t RPCOptions::_internal_num_channels_per_target() const {
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return _impl_.num_channels_per_target_;
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}
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inline int32_t RPCOptions::num_channels_per_target() const {
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// @@protoc_insertion_point(field_get:tensorflow.RPCOptions.num_channels_per_target)
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return _internal_num_channels_per_target();
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}
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inline void RPCOptions::_internal_set_num_channels_per_target(int32_t value) {
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_impl_.num_channels_per_target_ = value;
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}
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inline void RPCOptions::set_num_channels_per_target(int32_t value) {
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_internal_set_num_channels_per_target(value);
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// @@protoc_insertion_point(field_set:tensorflow.RPCOptions.num_channels_per_target)
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}
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#ifdef __GNUC__
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#pragma GCC diagnostic pop
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#endif // __GNUC__
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// @@protoc_insertion_point(namespace_scope)
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} // namespace tensorflow
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// @@protoc_insertion_point(global_scope)
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#include <google/protobuf/port_undef.inc>
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#endif // GOOGLE_PROTOBUF_INCLUDED_GOOGLE_PROTOBUF_INCLUDED_tsl_2fprotobuf_2frpc_5foptions_2eproto
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