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modules/dnn/misc/tensorflow/tensor.pb.cc
751 строка
29 KB
Alexander Alekhin
Merge pull request #20998 from alalek:update_protobuf_3.19.1
10 ноя 2021, 15:03
Не верифицирован
10 ноя 2021, 15:03
d934bb1
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// Generated by the protocol buffer compiler. DO NOT EDIT! // source: tensor.proto #include "tensor.pb.h" #include <algorithm> #include <google/protobuf/io/coded_stream.h> #include <google/protobuf/extension_set.h> #include <google/protobuf/wire_format_lite.h> #include <google/protobuf/descriptor.h> #include <google/protobuf/generated_message_reflection.h> #include <google/protobuf/reflection_ops.h> #include <google/protobuf/wire_format.h> // @@protoc_insertion_point(includes) #include <google/protobuf/port_def.inc> PROTOBUF_PRAGMA_INIT_SEG namespace opencv_tensorflow { constexpr TensorProto::TensorProto( ::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized) : float_val_() , double_val_() , int_val_() , _int_val_cached_byte_size_(0) , string_val_() , scomplex_val_() , int64_val_() , _int64_val_cached_byte_size_(0) , bool_val_() , dcomplex_val_() , half_val_() , _half_val_cached_byte_size_(0) , tensor_content_(&::PROTOBUF_NAMESPACE_ID::internal::fixed_address_empty_string) , tensor_shape_(nullptr) , dtype_(0) , version_number_(0){} struct TensorProtoDefaultTypeInternal { constexpr TensorProtoDefaultTypeInternal() : _instance(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized{}) {} ~TensorProtoDefaultTypeInternal() {} union { TensorProto _instance; }; }; PROTOBUF_ATTRIBUTE_NO_DESTROY PROTOBUF_CONSTINIT TensorProtoDefaultTypeInternal _TensorProto_default_instance_; } // namespace opencv_tensorflow static ::PROTOBUF_NAMESPACE_ID::Metadata file_level_metadata_tensor_2eproto[1]; static constexpr ::PROTOBUF_NAMESPACE_ID::EnumDescriptor const** file_level_enum_descriptors_tensor_2eproto = nullptr; static constexpr ::PROTOBUF_NAMESPACE_ID::ServiceDescriptor const** file_level_service_descriptors_tensor_2eproto = nullptr; const uint32_t TableStruct_tensor_2eproto::offsets[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = { ~0u, // no _has_bits_ PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, _internal_metadata_), ~0u, // no _extensions_ ~0u, // no _oneof_case_ ~0u, // no _weak_field_map_ ~0u, // no _inlined_string_donated_ PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, dtype_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, tensor_shape_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, version_number_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, tensor_content_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, half_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, float_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, double_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, int_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, string_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, scomplex_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, int64_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, bool_val_), PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, dcomplex_val_), }; static const ::PROTOBUF_NAMESPACE_ID::internal::MigrationSchema schemas[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = { { 0, -1, -1, sizeof(::opencv_tensorflow::TensorProto)}, }; static ::PROTOBUF_NAMESPACE_ID::Message const * const file_default_instances[] = { reinterpret_cast<const ::PROTOBUF_NAMESPACE_ID::Message*>(&::opencv_tensorflow::_TensorProto_default_instance_), }; const char descriptor_table_protodef_tensor_2eproto[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = "\n\014tensor.proto\022\021opencv_tensorflow\032\022tenso" "r_shape.proto\032\013types.proto\"\363\002\n\013TensorPro" "to\022*\n\005dtype\030\001 \001(\0162\033.opencv_tensorflow.Da" "taType\0229\n\014tensor_shape\030\002 \001(\0132#.opencv_te" "nsorflow.TensorShapeProto\022\026\n\016version_num" "ber\030\003 \001(\005\022\026\n\016tensor_content\030\004 \001(\014\022\024\n\010hal" "f_val\030\r \003(\005B\002\020\001\022\025\n\tfloat_val\030\005 \003(\002B\002\020\001\022\026" "\n\ndouble_val\030\006 \003(\001B\002\020\001\022\023\n\007int_val\030\007 \003(\005B" "\002\020\001\022\022\n\nstring_val\030\010 \003(\014\022\030\n\014scomplex_val\030" "\t \003(\002B\002\020\001\022\025\n\tint64_val\030\n \003(\003B\002\020\001\022\024\n\010bool" "_val\030\013 \003(\010B\002\020\001\022\030\n\014dcomplex_val\030\014 \003(\001B\002\020\001" "B-\n\030org.tensorflow.frameworkB\014TensorProt" "osP\001\370\001\001b\006proto3" ; static const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable*const descriptor_table_tensor_2eproto_deps[2] = { &::descriptor_table_tensor_5fshape_2eproto, &::descriptor_table_types_2eproto, }; static ::PROTOBUF_NAMESPACE_ID::internal::once_flag descriptor_table_tensor_2eproto_once; const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_tensor_2eproto = { false, false, 495, descriptor_table_protodef_tensor_2eproto, "tensor.proto", &descriptor_table_tensor_2eproto_once, descriptor_table_tensor_2eproto_deps, 2, 1, schemas, file_default_instances, TableStruct_tensor_2eproto::offsets, file_level_metadata_tensor_2eproto, file_level_enum_descriptors_tensor_2eproto, file_level_service_descriptors_tensor_2eproto, }; PROTOBUF_ATTRIBUTE_WEAK const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable* descriptor_table_tensor_2eproto_getter() { return &descriptor_table_tensor_2eproto; } // Force running AddDescriptors() at dynamic initialization time. PROTOBUF_ATTRIBUTE_INIT_PRIORITY static ::PROTOBUF_NAMESPACE_ID::internal::AddDescriptorsRunner dynamic_init_dummy_tensor_2eproto(&descriptor_table_tensor_2eproto); namespace opencv_tensorflow { // =================================================================== class TensorProto::_Internal { public: static const ::opencv_tensorflow::TensorShapeProto& tensor_shape(const TensorProto* msg); }; const ::opencv_tensorflow::TensorShapeProto& TensorProto::_Internal::tensor_shape(const TensorProto* msg) { return *msg->tensor_shape_; } void TensorProto::clear_tensor_shape() { if (GetArenaForAllocation() == nullptr && tensor_shape_ != nullptr) { delete tensor_shape_; } tensor_shape_ = nullptr; } TensorProto::TensorProto(::PROTOBUF_NAMESPACE_ID::Arena* arena, bool is_message_owned) : ::PROTOBUF_NAMESPACE_ID::Message(arena, is_message_owned), float_val_(arena), double_val_(arena), int_val_(arena), string_val_(arena), scomplex_val_(arena), int64_val_(arena), bool_val_(arena), dcomplex_val_(arena), half_val_(arena) { SharedCtor(); if (!is_message_owned) { RegisterArenaDtor(arena); } // @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorProto) } TensorProto::TensorProto(const TensorProto& from) : ::PROTOBUF_NAMESPACE_ID::Message(), float_val_(from.float_val_), double_val_(from.double_val_), int_val_(from.int_val_), string_val_(from.string_val_), scomplex_val_(from.scomplex_val_), int64_val_(from.int64_val_), bool_val_(from.bool_val_), dcomplex_val_(from.dcomplex_val_), half_val_(from.half_val_) { _internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_); tensor_content_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited()); #ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING tensor_content_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation()); #endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING if (!from._internal_tensor_content().empty()) { tensor_content_.Set(::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::EmptyDefault{}, from._internal_tensor_content(), GetArenaForAllocation()); } if (from._internal_has_tensor_shape()) { tensor_shape_ = new ::opencv_tensorflow::TensorShapeProto(*from.tensor_shape_); } else { tensor_shape_ = nullptr; } ::memcpy(&dtype_, &from.dtype_, static_cast<size_t>(reinterpret_cast<char*>(&version_number_) - reinterpret_cast<char*>(&dtype_)) + sizeof(version_number_)); // @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorProto) } inline void TensorProto::SharedCtor() { tensor_content_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited()); #ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING tensor_content_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation()); #endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING ::memset(reinterpret_cast<char*>(this) + static_cast<size_t>( reinterpret_cast<char*>(&tensor_shape_) - reinterpret_cast<char*>(this)), 0, static_cast<size_t>(reinterpret_cast<char*>(&version_number_) - reinterpret_cast<char*>(&tensor_shape_)) + sizeof(version_number_)); } TensorProto::~TensorProto() { // @@protoc_insertion_point(destructor:opencv_tensorflow.TensorProto) if (GetArenaForAllocation() != nullptr) return; SharedDtor(); _internal_metadata_.Delete<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(); } inline void TensorProto::SharedDtor() { GOOGLE_DCHECK(GetArenaForAllocation() == nullptr); tensor_content_.DestroyNoArena(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited()); if (this != internal_default_instance()) delete tensor_shape_; } void TensorProto::ArenaDtor(void* object) { TensorProto* _this = reinterpret_cast< TensorProto* >(object); (void)_this; } void TensorProto::RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena*) { } void TensorProto::SetCachedSize(int size) const { _cached_size_.Set(size); } void TensorProto::Clear() { // @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorProto) uint32_t cached_has_bits = 0; // Prevent compiler warnings about cached_has_bits being unused (void) cached_has_bits; float_val_.Clear(); double_val_.Clear(); int_val_.Clear(); string_val_.Clear(); scomplex_val_.Clear(); int64_val_.Clear(); bool_val_.Clear(); dcomplex_val_.Clear(); half_val_.Clear(); tensor_content_.ClearToEmpty(); if (GetArenaForAllocation() == nullptr && tensor_shape_ != nullptr) { delete tensor_shape_; } tensor_shape_ = nullptr; ::memset(&dtype_, 0, static_cast<size_t>( reinterpret_cast<char*>(&version_number_) - reinterpret_cast<char*>(&dtype_)) + sizeof(version_number_)); _internal_metadata_.Clear<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(); } const char* TensorProto::_InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) { #define CHK_(x) if (PROTOBUF_PREDICT_FALSE(!(x))) goto failure while (!ctx->Done(&ptr)) { uint32_t tag; ptr = ::PROTOBUF_NAMESPACE_ID::internal::ReadTag(ptr, &tag); switch (tag >> 3) { // .opencv_tensorflow.DataType dtype = 1; case 1: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 8)) { uint64_t val = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr); CHK_(ptr); _internal_set_dtype(static_cast<::opencv_tensorflow::DataType>(val)); } else goto handle_unusual; continue; // .opencv_tensorflow.TensorShapeProto tensor_shape = 2; case 2: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 18)) { ptr = ctx->ParseMessage(_internal_mutable_tensor_shape(), ptr); CHK_(ptr); } else goto handle_unusual; continue; // int32 version_number = 3; case 3: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 24)) { version_number_ = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint32(&ptr); CHK_(ptr); } else goto handle_unusual; continue; // bytes tensor_content = 4; case 4: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 34)) { auto str = _internal_mutable_tensor_content(); ptr = ::PROTOBUF_NAMESPACE_ID::internal::InlineGreedyStringParser(str, ptr, ctx); CHK_(ptr); } else goto handle_unusual; continue; // repeated float float_val = 5 [packed = true]; case 5: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 42)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedFloatParser(_internal_mutable_float_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 45) { _internal_add_float_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<float>(ptr)); ptr += sizeof(float); } else goto handle_unusual; continue; // repeated double double_val = 6 [packed = true]; case 6: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 50)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedDoubleParser(_internal_mutable_double_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 49) { _internal_add_double_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr)); ptr += sizeof(double); } else goto handle_unusual; continue; // repeated int32 int_val = 7 [packed = true]; case 7: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 58)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedInt32Parser(_internal_mutable_int_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 56) { _internal_add_int_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint32(&ptr)); CHK_(ptr); } else goto handle_unusual; continue; // repeated bytes string_val = 8; case 8: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 66)) { ptr -= 1; do { ptr += 1; auto str = _internal_add_string_val(); ptr = ::PROTOBUF_NAMESPACE_ID::internal::InlineGreedyStringParser(str, ptr, ctx); CHK_(ptr); if (!ctx->DataAvailable(ptr)) break; } while (::PROTOBUF_NAMESPACE_ID::internal::ExpectTag<66>(ptr)); } else goto handle_unusual; continue; // repeated float scomplex_val = 9 [packed = true]; case 9: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 74)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedFloatParser(_internal_mutable_scomplex_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 77) { _internal_add_scomplex_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<float>(ptr)); ptr += sizeof(float); } else goto handle_unusual; continue; // repeated int64 int64_val = 10 [packed = true]; case 10: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 82)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedInt64Parser(_internal_mutable_int64_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 80) { _internal_add_int64_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr)); CHK_(ptr); } else goto handle_unusual; continue; // repeated bool bool_val = 11 [packed = true]; case 11: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 90)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedBoolParser(_internal_mutable_bool_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 88) { _internal_add_bool_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr)); CHK_(ptr); } else goto handle_unusual; continue; // repeated double dcomplex_val = 12 [packed = true]; case 12: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 98)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedDoubleParser(_internal_mutable_dcomplex_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 97) { _internal_add_dcomplex_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr)); ptr += sizeof(double); } else goto handle_unusual; continue; // repeated int32 half_val = 13 [packed = true]; case 13: if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 106)) { ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedInt32Parser(_internal_mutable_half_val(), ptr, ctx); CHK_(ptr); } else if (static_cast<uint8_t>(tag) == 104) { _internal_add_half_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint32(&ptr)); CHK_(ptr); } else goto handle_unusual; continue; default: goto handle_unusual; } // switch handle_unusual: if ((tag == 0) || ((tag & 7) == 4)) { CHK_(ptr); ctx->SetLastTag(tag); goto message_done; } ptr = UnknownFieldParse( tag, _internal_metadata_.mutable_unknown_fields<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(), ptr, ctx); CHK_(ptr != nullptr); } // while message_done: return ptr; failure: ptr = nullptr; goto message_done; #undef CHK_ } uint8_t* TensorProto::_InternalSerialize( uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const { // @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorProto) uint32_t cached_has_bits = 0; (void) cached_has_bits; // .opencv_tensorflow.DataType dtype = 1; if (this->_internal_dtype() != 0) { target = stream->EnsureSpace(target); target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::WriteEnumToArray( 1, this->_internal_dtype(), target); } // .opencv_tensorflow.TensorShapeProto tensor_shape = 2; if (this->_internal_has_tensor_shape()) { target = stream->EnsureSpace(target); target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite:: InternalWriteMessage( 2, _Internal::tensor_shape(this), target, stream); } // int32 version_number = 3; if (this->_internal_version_number() != 0) { target = stream->EnsureSpace(target); target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::WriteInt32ToArray(3, this->_internal_version_number(), target); } // bytes tensor_content = 4; if (!this->_internal_tensor_content().empty()) { target = stream->WriteBytesMaybeAliased( 4, this->_internal_tensor_content(), target); } // repeated float float_val = 5 [packed = true]; if (this->_internal_float_val_size() > 0) { target = stream->WriteFixedPacked(5, _internal_float_val(), target); } // repeated double double_val = 6 [packed = true]; if (this->_internal_double_val_size() > 0) { target = stream->WriteFixedPacked(6, _internal_double_val(), target); } // repeated int32 int_val = 7 [packed = true]; { int byte_size = _int_val_cached_byte_size_.load(std::memory_order_relaxed); if (byte_size > 0) { target = stream->WriteInt32Packed( 7, _internal_int_val(), byte_size, target); } } // repeated bytes string_val = 8; for (int i = 0, n = this->_internal_string_val_size(); i < n; i++) { const auto& s = this->_internal_string_val(i); target = stream->WriteBytes(8, s, target); } // repeated float scomplex_val = 9 [packed = true]; if (this->_internal_scomplex_val_size() > 0) { target = stream->WriteFixedPacked(9, _internal_scomplex_val(), target); } // repeated int64 int64_val = 10 [packed = true]; { int byte_size = _int64_val_cached_byte_size_.load(std::memory_order_relaxed); if (byte_size > 0) { target = stream->WriteInt64Packed( 10, _internal_int64_val(), byte_size, target); } } // repeated bool bool_val = 11 [packed = true]; if (this->_internal_bool_val_size() > 0) { target = stream->WriteFixedPacked(11, _internal_bool_val(), target); } // repeated double dcomplex_val = 12 [packed = true]; if (this->_internal_dcomplex_val_size() > 0) { target = stream->WriteFixedPacked(12, _internal_dcomplex_val(), target); } // repeated int32 half_val = 13 [packed = true]; { int byte_size = _half_val_cached_byte_size_.load(std::memory_order_relaxed); if (byte_size > 0) { target = stream->WriteInt32Packed( 13, _internal_half_val(), byte_size, target); } } if (PROTOBUF_PREDICT_FALSE(_internal_metadata_.have_unknown_fields())) { target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormat::InternalSerializeUnknownFieldsToArray( _internal_metadata_.unknown_fields<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(::PROTOBUF_NAMESPACE_ID::UnknownFieldSet::default_instance), target, stream); } // @@protoc_insertion_point(serialize_to_array_end:opencv_tensorflow.TensorProto) return target; } size_t TensorProto::ByteSizeLong() const { // @@protoc_insertion_point(message_byte_size_start:opencv_tensorflow.TensorProto) size_t total_size = 0; uint32_t cached_has_bits = 0; // Prevent compiler warnings about cached_has_bits being unused (void) cached_has_bits; // repeated float float_val = 5 [packed = true]; { unsigned int count = static_cast<unsigned int>(this->_internal_float_val_size()); size_t data_size = 4UL * count; if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } total_size += data_size; } // repeated double double_val = 6 [packed = true]; { unsigned int count = static_cast<unsigned int>(this->_internal_double_val_size()); size_t data_size = 8UL * count; if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } total_size += data_size; } // repeated int32 int_val = 7 [packed = true]; { size_t data_size = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite:: Int32Size(this->int_val_); if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } int cached_size = ::PROTOBUF_NAMESPACE_ID::internal::ToCachedSize(data_size); _int_val_cached_byte_size_.store(cached_size, std::memory_order_relaxed); total_size += data_size; } // repeated bytes string_val = 8; total_size += 1 * ::PROTOBUF_NAMESPACE_ID::internal::FromIntSize(string_val_.size()); for (int i = 0, n = string_val_.size(); i < n; i++) { total_size += ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::BytesSize( string_val_.Get(i)); } // repeated float scomplex_val = 9 [packed = true]; { unsigned int count = static_cast<unsigned int>(this->_internal_scomplex_val_size()); size_t data_size = 4UL * count; if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } total_size += data_size; } // repeated int64 int64_val = 10 [packed = true]; { size_t data_size = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite:: Int64Size(this->int64_val_); if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } int cached_size = ::PROTOBUF_NAMESPACE_ID::internal::ToCachedSize(data_size); _int64_val_cached_byte_size_.store(cached_size, std::memory_order_relaxed); total_size += data_size; } // repeated bool bool_val = 11 [packed = true]; { unsigned int count = static_cast<unsigned int>(this->_internal_bool_val_size()); size_t data_size = 1UL * count; if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } total_size += data_size; } // repeated double dcomplex_val = 12 [packed = true]; { unsigned int count = static_cast<unsigned int>(this->_internal_dcomplex_val_size()); size_t data_size = 8UL * count; if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } total_size += data_size; } // repeated int32 half_val = 13 [packed = true]; { size_t data_size = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite:: Int32Size(this->half_val_); if (data_size > 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32Size( static_cast<int32_t>(data_size)); } int cached_size = ::PROTOBUF_NAMESPACE_ID::internal::ToCachedSize(data_size); _half_val_cached_byte_size_.store(cached_size, std::memory_order_relaxed); total_size += data_size; } // bytes tensor_content = 4; if (!this->_internal_tensor_content().empty()) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::BytesSize( this->_internal_tensor_content()); } // .opencv_tensorflow.TensorShapeProto tensor_shape = 2; if (this->_internal_has_tensor_shape()) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::MessageSize( *tensor_shape_); } // .opencv_tensorflow.DataType dtype = 1; if (this->_internal_dtype() != 0) { total_size += 1 + ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::EnumSize(this->_internal_dtype()); } // int32 version_number = 3; if (this->_internal_version_number() != 0) { total_size += ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int32SizePlusOne(this->_internal_version_number()); } return MaybeComputeUnknownFieldsSize(total_size, &_cached_size_); } const ::PROTOBUF_NAMESPACE_ID::Message::ClassData TensorProto::_class_data_ = { ::PROTOBUF_NAMESPACE_ID::Message::CopyWithSizeCheck, TensorProto::MergeImpl }; const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*TensorProto::GetClassData() const { return &_class_data_; } void TensorProto::MergeImpl(::PROTOBUF_NAMESPACE_ID::Message* to, const ::PROTOBUF_NAMESPACE_ID::Message& from) { static_cast<TensorProto *>(to)->MergeFrom( static_cast<const TensorProto &>(from)); } void TensorProto::MergeFrom(const TensorProto& from) { // @@protoc_insertion_point(class_specific_merge_from_start:opencv_tensorflow.TensorProto) GOOGLE_DCHECK_NE(&from, this); uint32_t cached_has_bits = 0; (void) cached_has_bits; float_val_.MergeFrom(from.float_val_); double_val_.MergeFrom(from.double_val_); int_val_.MergeFrom(from.int_val_); string_val_.MergeFrom(from.string_val_); scomplex_val_.MergeFrom(from.scomplex_val_); int64_val_.MergeFrom(from.int64_val_); bool_val_.MergeFrom(from.bool_val_); dcomplex_val_.MergeFrom(from.dcomplex_val_); half_val_.MergeFrom(from.half_val_); if (!from._internal_tensor_content().empty()) { _internal_set_tensor_content(from._internal_tensor_content()); } if (from._internal_has_tensor_shape()) { _internal_mutable_tensor_shape()->::opencv_tensorflow::TensorShapeProto::MergeFrom(from._internal_tensor_shape()); } if (from._internal_dtype() != 0) { _internal_set_dtype(from._internal_dtype()); } if (from._internal_version_number() != 0) { _internal_set_version_number(from._internal_version_number()); } _internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_); } void TensorProto::CopyFrom(const TensorProto& from) { // @@protoc_insertion_point(class_specific_copy_from_start:opencv_tensorflow.TensorProto) if (&from == this) return; Clear(); MergeFrom(from); } bool TensorProto::IsInitialized() const { return true; } void TensorProto::InternalSwap(TensorProto* other) { using std::swap; auto* lhs_arena = GetArenaForAllocation(); auto* rhs_arena = other->GetArenaForAllocation(); _internal_metadata_.InternalSwap(&other->_internal_metadata_); float_val_.InternalSwap(&other->float_val_); double_val_.InternalSwap(&other->double_val_); int_val_.InternalSwap(&other->int_val_); string_val_.InternalSwap(&other->string_val_); scomplex_val_.InternalSwap(&other->scomplex_val_); int64_val_.InternalSwap(&other->int64_val_); bool_val_.InternalSwap(&other->bool_val_); dcomplex_val_.InternalSwap(&other->dcomplex_val_); half_val_.InternalSwap(&other->half_val_); ::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::InternalSwap( &::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), &tensor_content_, lhs_arena, &other->tensor_content_, rhs_arena ); ::PROTOBUF_NAMESPACE_ID::internal::memswap< PROTOBUF_FIELD_OFFSET(TensorProto, version_number_) + sizeof(TensorProto::version_number_) - PROTOBUF_FIELD_OFFSET(TensorProto, tensor_shape_)>( reinterpret_cast<char*>(&tensor_shape_), reinterpret_cast<char*>(&other->tensor_shape_)); } ::PROTOBUF_NAMESPACE_ID::Metadata TensorProto::GetMetadata() const { return ::PROTOBUF_NAMESPACE_ID::internal::AssignDescriptors( &descriptor_table_tensor_2eproto_getter, &descriptor_table_tensor_2eproto_once, file_level_metadata_tensor_2eproto[0]); } // @@protoc_insertion_point(namespace_scope) } // namespace opencv_tensorflow PROTOBUF_NAMESPACE_OPEN template<> PROTOBUF_NOINLINE ::opencv_tensorflow::TensorProto* Arena::CreateMaybeMessage< ::opencv_tensorflow::TensorProto >(Arena* arena) { return Arena::CreateMessageInternal< ::opencv_tensorflow::TensorProto >(arena); } PROTOBUF_NAMESPACE_CLOSE // @@protoc_insertion_point(global_scope) #include <google/protobuf/port_undef.inc>