// Generated by the protocol buffer compiler. DO NOT EDIT! // source: versions.proto #include "versions.pb.h" #include #include #include #include #include #include #include #include #include #include // This is a temporary google only hack #ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS #include "third_party/protobuf/version.h" #endif // @@protoc_insertion_point(includes) namespace opencv_tensorflow { class VersionDefDefaultTypeInternal { public: ::google::protobuf::internal::ExplicitlyConstructed _instance; } _VersionDef_default_instance_; } // namespace opencv_tensorflow namespace protobuf_versions_2eproto { void InitDefaultsVersionDefImpl() { GOOGLE_PROTOBUF_VERIFY_VERSION; #ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS ::google::protobuf::internal::InitProtobufDefaultsForceUnique(); #else ::google::protobuf::internal::InitProtobufDefaults(); #endif // GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS { void* ptr = &::opencv_tensorflow::_VersionDef_default_instance_; new (ptr) ::opencv_tensorflow::VersionDef(); ::google::protobuf::internal::OnShutdownDestroyMessage(ptr); } ::opencv_tensorflow::VersionDef::InitAsDefaultInstance(); } void InitDefaultsVersionDef() { static GOOGLE_PROTOBUF_DECLARE_ONCE(once); ::google::protobuf::GoogleOnceInit(&once, &InitDefaultsVersionDefImpl); } ::google::protobuf::Metadata file_level_metadata[1]; const ::google::protobuf::uint32 TableStruct::offsets[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = { ~0u, // no _has_bits_ GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::VersionDef, _internal_metadata_), ~0u, // no _extensions_ ~0u, // no _oneof_case_ ~0u, // no _weak_field_map_ GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::VersionDef, producer_), GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::VersionDef, min_consumer_), GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::VersionDef, bad_consumers_), }; static const ::google::protobuf::internal::MigrationSchema schemas[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = { { 0, -1, sizeof(::opencv_tensorflow::VersionDef)}, }; static ::google::protobuf::Message const * const file_default_instances[] = { reinterpret_cast(&::opencv_tensorflow::_VersionDef_default_instance_), }; void protobuf_AssignDescriptors() { AddDescriptors(); ::google::protobuf::MessageFactory* factory = NULL; AssignDescriptors( "versions.proto", schemas, file_default_instances, TableStruct::offsets, factory, file_level_metadata, NULL, NULL); } void protobuf_AssignDescriptorsOnce() { static GOOGLE_PROTOBUF_DECLARE_ONCE(once); ::google::protobuf::GoogleOnceInit(&once, &protobuf_AssignDescriptors); } void protobuf_RegisterTypes(const ::std::string&) GOOGLE_PROTOBUF_ATTRIBUTE_COLD; void protobuf_RegisterTypes(const ::std::string&) { protobuf_AssignDescriptorsOnce(); ::google::protobuf::internal::RegisterAllTypes(file_level_metadata, 1); } void AddDescriptorsImpl() { InitDefaults(); static const char descriptor[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = { "\n\016versions.proto\022\021opencv_tensorflow\"K\n\nV" "ersionDef\022\020\n\010producer\030\001 \001(\005\022\024\n\014min_consu" "mer\030\002 \001(\005\022\025\n\rbad_consumers\030\003 \003(\005B/\n\030org." "tensorflow.frameworkB\016VersionsProtosP\001\370\001" "\001b\006proto3" }; ::google::protobuf::DescriptorPool::InternalAddGeneratedFile( descriptor, 169); ::google::protobuf::MessageFactory::InternalRegisterGeneratedFile( "versions.proto", &protobuf_RegisterTypes); } void AddDescriptors() { static GOOGLE_PROTOBUF_DECLARE_ONCE(once); ::google::protobuf::GoogleOnceInit(&once, &AddDescriptorsImpl); } // Force AddDescriptors() to be called at dynamic initialization time. struct StaticDescriptorInitializer { StaticDescriptorInitializer() { AddDescriptors(); } } static_descriptor_initializer; } // namespace protobuf_versions_2eproto namespace opencv_tensorflow { // =================================================================== void VersionDef::InitAsDefaultInstance() { } #if !defined(_MSC_VER) || _MSC_VER >= 1900 const int VersionDef::kProducerFieldNumber; const int VersionDef::kMinConsumerFieldNumber; const int VersionDef::kBadConsumersFieldNumber; #endif // !defined(_MSC_VER) || _MSC_VER >= 1900 VersionDef::VersionDef() : ::google::protobuf::Message(), _internal_metadata_(NULL) { if (GOOGLE_PREDICT_TRUE(this != internal_default_instance())) { ::protobuf_versions_2eproto::InitDefaultsVersionDef(); } SharedCtor(); // @@protoc_insertion_point(constructor:opencv_tensorflow.VersionDef) } VersionDef::VersionDef(::google::protobuf::Arena* arena) : ::google::protobuf::Message(), _internal_metadata_(arena), bad_consumers_(arena) { ::protobuf_versions_2eproto::InitDefaultsVersionDef(); SharedCtor(); RegisterArenaDtor(arena); // @@protoc_insertion_point(arena_constructor:opencv_tensorflow.VersionDef) } VersionDef::VersionDef(const VersionDef& from) : ::google::protobuf::Message(), _internal_metadata_(NULL), bad_consumers_(from.bad_consumers_), _cached_size_(0) { _internal_metadata_.MergeFrom(from._internal_metadata_); ::memcpy(&producer_, &from.producer_, static_cast(reinterpret_cast(&min_consumer_) - reinterpret_cast(&producer_)) + sizeof(min_consumer_)); // @@protoc_insertion_point(copy_constructor:opencv_tensorflow.VersionDef) } void VersionDef::SharedCtor() { ::memset(&producer_, 0, static_cast( reinterpret_cast(&min_consumer_) - reinterpret_cast(&producer_)) + sizeof(min_consumer_)); _cached_size_ = 0; } VersionDef::~VersionDef() { // @@protoc_insertion_point(destructor:opencv_tensorflow.VersionDef) SharedDtor(); } void VersionDef::SharedDtor() { GOOGLE_DCHECK(GetArenaNoVirtual() == NULL); } void VersionDef::ArenaDtor(void* object) { VersionDef* _this = reinterpret_cast< VersionDef* >(object); (void)_this; } void VersionDef::RegisterArenaDtor(::google::protobuf::Arena* arena) { } void VersionDef::SetCachedSize(int size) const { GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN(); _cached_size_ = size; GOOGLE_SAFE_CONCURRENT_WRITES_END(); } const ::google::protobuf::Descriptor* VersionDef::descriptor() { ::protobuf_versions_2eproto::protobuf_AssignDescriptorsOnce(); return ::protobuf_versions_2eproto::file_level_metadata[kIndexInFileMessages].descriptor; } const VersionDef& VersionDef::default_instance() { ::protobuf_versions_2eproto::InitDefaultsVersionDef(); return *internal_default_instance(); } VersionDef* VersionDef::New(::google::protobuf::Arena* arena) const { return ::google::protobuf::Arena::CreateMessage(arena); } void VersionDef::Clear() { // @@protoc_insertion_point(message_clear_start:opencv_tensorflow.VersionDef) ::google::protobuf::uint32 cached_has_bits = 0; // Prevent compiler warnings about cached_has_bits being unused (void) cached_has_bits; bad_consumers_.Clear(); ::memset(&producer_, 0, static_cast( reinterpret_cast(&min_consumer_) - reinterpret_cast(&producer_)) + sizeof(min_consumer_)); _internal_metadata_.Clear(); } bool VersionDef::MergePartialFromCodedStream( ::google::protobuf::io::CodedInputStream* input) { #define DO_(EXPRESSION) if (!GOOGLE_PREDICT_TRUE(EXPRESSION)) goto failure ::google::protobuf::uint32 tag; // @@protoc_insertion_point(parse_start:opencv_tensorflow.VersionDef) for (;;) { ::std::pair< ::google::protobuf::uint32, bool> p = input->ReadTagWithCutoffNoLastTag(127u); tag = p.first; if (!p.second) goto handle_unusual; switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) { // int32 producer = 1; case 1: { if (static_cast< ::google::protobuf::uint8>(tag) == static_cast< ::google::protobuf::uint8>(8u /* 8 & 0xFF */)) { DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive< ::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>( input, &producer_))); } else { goto handle_unusual; } break; } // int32 min_consumer = 2; case 2: { if (static_cast< ::google::protobuf::uint8>(tag) == static_cast< ::google::protobuf::uint8>(16u /* 16 & 0xFF */)) { DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive< ::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>( input, &min_consumer_))); } else { goto handle_unusual; } break; } // repeated int32 bad_consumers = 3; case 3: { if (static_cast< ::google::protobuf::uint8>(tag) == static_cast< ::google::protobuf::uint8>(26u /* 26 & 0xFF */)) { DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive< ::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>( input, this->mutable_bad_consumers()))); } else if ( static_cast< ::google::protobuf::uint8>(tag) == static_cast< ::google::protobuf::uint8>(24u /* 24 & 0xFF */)) { DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline< ::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>( 1, 26u, input, this->mutable_bad_consumers()))); } else { goto handle_unusual; } break; } default: { handle_unusual: if (tag == 0) { goto success; } DO_(::google::protobuf::internal::WireFormat::SkipField( input, tag, _internal_metadata_.mutable_unknown_fields())); break; } } } success: // @@protoc_insertion_point(parse_success:opencv_tensorflow.VersionDef) return true; failure: // @@protoc_insertion_point(parse_failure:opencv_tensorflow.VersionDef) return false; #undef DO_ } void VersionDef::SerializeWithCachedSizes( ::google::protobuf::io::CodedOutputStream* output) const { // @@protoc_insertion_point(serialize_start:opencv_tensorflow.VersionDef) ::google::protobuf::uint32 cached_has_bits = 0; (void) cached_has_bits; // int32 producer = 1; if (this->producer() != 0) { ::google::protobuf::internal::WireFormatLite::WriteInt32(1, this->producer(), output); } // int32 min_consumer = 2; if (this->min_consumer() != 0) { ::google::protobuf::internal::WireFormatLite::WriteInt32(2, this->min_consumer(), output); } // repeated int32 bad_consumers = 3; if (this->bad_consumers_size() > 0) { ::google::protobuf::internal::WireFormatLite::WriteTag(3, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output); output->WriteVarint32(static_cast< ::google::protobuf::uint32>( _bad_consumers_cached_byte_size_)); } for (int i = 0, n = this->bad_consumers_size(); i < n; i++) { ::google::protobuf::internal::WireFormatLite::WriteInt32NoTag( this->bad_consumers(i), output); } if ((_internal_metadata_.have_unknown_fields() && ::google::protobuf::internal::GetProto3PreserveUnknownsDefault())) { ::google::protobuf::internal::WireFormat::SerializeUnknownFields( (::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance()), output); } // @@protoc_insertion_point(serialize_end:opencv_tensorflow.VersionDef) } ::google::protobuf::uint8* VersionDef::InternalSerializeWithCachedSizesToArray( bool deterministic, ::google::protobuf::uint8* target) const { (void)deterministic; // Unused // @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.VersionDef) ::google::protobuf::uint32 cached_has_bits = 0; (void) cached_has_bits; // int32 producer = 1; if (this->producer() != 0) { target = ::google::protobuf::internal::WireFormatLite::WriteInt32ToArray(1, this->producer(), target); } // int32 min_consumer = 2; if (this->min_consumer() != 0) { target = ::google::protobuf::internal::WireFormatLite::WriteInt32ToArray(2, this->min_consumer(), target); } // repeated int32 bad_consumers = 3; if (this->bad_consumers_size() > 0) { target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray( 3, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, target); target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray( static_cast< ::google::protobuf::int32>( _bad_consumers_cached_byte_size_), target); target = ::google::protobuf::internal::WireFormatLite:: WriteInt32NoTagToArray(this->bad_consumers_, target); } if ((_internal_metadata_.have_unknown_fields() && ::google::protobuf::internal::GetProto3PreserveUnknownsDefault())) { target = ::google::protobuf::internal::WireFormat::SerializeUnknownFieldsToArray( (::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance()), target); } // @@protoc_insertion_point(serialize_to_array_end:opencv_tensorflow.VersionDef) return target; } size_t VersionDef::ByteSizeLong() const { // @@protoc_insertion_point(message_byte_size_start:opencv_tensorflow.VersionDef) size_t total_size = 0; if ((_internal_metadata_.have_unknown_fields() && ::google::protobuf::internal::GetProto3PreserveUnknownsDefault())) { total_size += ::google::protobuf::internal::WireFormat::ComputeUnknownFieldsSize( (::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance())); } // repeated int32 bad_consumers = 3; { size_t data_size = ::google::protobuf::internal::WireFormatLite:: Int32Size(this->bad_consumers_); if (data_size > 0) { total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size( static_cast< ::google::protobuf::int32>(data_size)); } int cached_size = ::google::protobuf::internal::ToCachedSize(data_size); GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN(); _bad_consumers_cached_byte_size_ = cached_size; GOOGLE_SAFE_CONCURRENT_WRITES_END(); total_size += data_size; } // int32 producer = 1; if (this->producer() != 0) { total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size( this->producer()); } // int32 min_consumer = 2; if (this->min_consumer() != 0) { total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size( this->min_consumer()); } int cached_size = ::google::protobuf::internal::ToCachedSize(total_size); GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN(); _cached_size_ = cached_size; GOOGLE_SAFE_CONCURRENT_WRITES_END(); return total_size; } void VersionDef::MergeFrom(const ::google::protobuf::Message& from) { // @@protoc_insertion_point(generalized_merge_from_start:opencv_tensorflow.VersionDef) GOOGLE_DCHECK_NE(&from, this); const VersionDef* source = ::google::protobuf::internal::DynamicCastToGenerated( &from); if (source == NULL) { // @@protoc_insertion_point(generalized_merge_from_cast_fail:opencv_tensorflow.VersionDef) ::google::protobuf::internal::ReflectionOps::Merge(from, this); } else { // @@protoc_insertion_point(generalized_merge_from_cast_success:opencv_tensorflow.VersionDef) MergeFrom(*source); } } void VersionDef::MergeFrom(const VersionDef& from) { // @@protoc_insertion_point(class_specific_merge_from_start:opencv_tensorflow.VersionDef) GOOGLE_DCHECK_NE(&from, this); _internal_metadata_.MergeFrom(from._internal_metadata_); ::google::protobuf::uint32 cached_has_bits = 0; (void) cached_has_bits; bad_consumers_.MergeFrom(from.bad_consumers_); if (from.producer() != 0) { set_producer(from.producer()); } if (from.min_consumer() != 0) { set_min_consumer(from.min_consumer()); } } void VersionDef::CopyFrom(const ::google::protobuf::Message& from) { // @@protoc_insertion_point(generalized_copy_from_start:opencv_tensorflow.VersionDef) if (&from == this) return; Clear(); MergeFrom(from); } void VersionDef::CopyFrom(const VersionDef& from) { // @@protoc_insertion_point(class_specific_copy_from_start:opencv_tensorflow.VersionDef) if (&from == this) return; Clear(); MergeFrom(from); } bool VersionDef::IsInitialized() const { return true; } void VersionDef::Swap(VersionDef* other) { if (other == this) return; if (GetArenaNoVirtual() == other->GetArenaNoVirtual()) { InternalSwap(other); } else { VersionDef* temp = New(GetArenaNoVirtual()); temp->MergeFrom(*other); other->CopyFrom(*this); InternalSwap(temp); if (GetArenaNoVirtual() == NULL) { delete temp; } } } void VersionDef::UnsafeArenaSwap(VersionDef* other) { if (other == this) return; GOOGLE_DCHECK(GetArenaNoVirtual() == other->GetArenaNoVirtual()); InternalSwap(other); } void VersionDef::InternalSwap(VersionDef* other) { using std::swap; bad_consumers_.InternalSwap(&other->bad_consumers_); swap(producer_, other->producer_); swap(min_consumer_, other->min_consumer_); _internal_metadata_.Swap(&other->_internal_metadata_); swap(_cached_size_, other->_cached_size_); } ::google::protobuf::Metadata VersionDef::GetMetadata() const { protobuf_versions_2eproto::protobuf_AssignDescriptorsOnce(); return ::protobuf_versions_2eproto::file_level_metadata[kIndexInFileMessages]; } // @@protoc_insertion_point(namespace_scope) } // namespace opencv_tensorflow // @@protoc_insertion_point(global_scope)