mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 09:49:13 +08:00
d934bb15b0
3rdparty(protobuf): upgrade 3.5.2 => 3.19.1 * 3rdparty(protobuf): upgrade 3.5.2 => 3.19.1 * dnn: update protobuf files (3.19.1) * 3rdparty(protobuf): re-apply OpenCV patch for custom fields (3.19.1) * protobuf: suppress new build warnings * protobuf: remove unused files
752 lines
29 KiB
C++
752 lines
29 KiB
C++
// Generated by the protocol buffer compiler. DO NOT EDIT!
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// source: tensor.proto
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#include "tensor.pb.h"
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#include <algorithm>
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#include <google/protobuf/io/coded_stream.h>
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#include <google/protobuf/extension_set.h>
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#include <google/protobuf/wire_format_lite.h>
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#include <google/protobuf/descriptor.h>
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#include <google/protobuf/generated_message_reflection.h>
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#include <google/protobuf/reflection_ops.h>
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#include <google/protobuf/wire_format.h>
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// @@protoc_insertion_point(includes)
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#include <google/protobuf/port_def.inc>
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PROTOBUF_PRAGMA_INIT_SEG
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namespace opencv_tensorflow {
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constexpr TensorProto::TensorProto(
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::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized)
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: float_val_()
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, double_val_()
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, int_val_()
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, _int_val_cached_byte_size_(0)
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, string_val_()
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, scomplex_val_()
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, int64_val_()
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, _int64_val_cached_byte_size_(0)
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, bool_val_()
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, dcomplex_val_()
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, half_val_()
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, _half_val_cached_byte_size_(0)
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, tensor_content_(&::PROTOBUF_NAMESPACE_ID::internal::fixed_address_empty_string)
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, tensor_shape_(nullptr)
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, dtype_(0)
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, version_number_(0){}
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struct TensorProtoDefaultTypeInternal {
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constexpr TensorProtoDefaultTypeInternal()
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: _instance(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized{}) {}
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~TensorProtoDefaultTypeInternal() {}
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union {
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TensorProto _instance;
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};
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};
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PROTOBUF_ATTRIBUTE_NO_DESTROY PROTOBUF_CONSTINIT TensorProtoDefaultTypeInternal _TensorProto_default_instance_;
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} // namespace opencv_tensorflow
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static ::PROTOBUF_NAMESPACE_ID::Metadata file_level_metadata_tensor_2eproto[1];
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static constexpr ::PROTOBUF_NAMESPACE_ID::EnumDescriptor const** file_level_enum_descriptors_tensor_2eproto = nullptr;
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static constexpr ::PROTOBUF_NAMESPACE_ID::ServiceDescriptor const** file_level_service_descriptors_tensor_2eproto = nullptr;
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const uint32_t TableStruct_tensor_2eproto::offsets[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = {
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~0u, // no _has_bits_
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, _internal_metadata_),
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~0u, // no _extensions_
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~0u, // no _oneof_case_
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~0u, // no _weak_field_map_
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~0u, // no _inlined_string_donated_
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, dtype_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, tensor_shape_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, version_number_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, tensor_content_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, half_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, float_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, double_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, int_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, string_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, scomplex_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, int64_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, bool_val_),
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PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorProto, dcomplex_val_),
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};
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static const ::PROTOBUF_NAMESPACE_ID::internal::MigrationSchema schemas[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = {
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{ 0, -1, -1, sizeof(::opencv_tensorflow::TensorProto)},
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};
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static ::PROTOBUF_NAMESPACE_ID::Message const * const file_default_instances[] = {
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reinterpret_cast<const ::PROTOBUF_NAMESPACE_ID::Message*>(&::opencv_tensorflow::_TensorProto_default_instance_),
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};
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const char descriptor_table_protodef_tensor_2eproto[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) =
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"\n\014tensor.proto\022\021opencv_tensorflow\032\022tenso"
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"r_shape.proto\032\013types.proto\"\363\002\n\013TensorPro"
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"to\022*\n\005dtype\030\001 \001(\0162\033.opencv_tensorflow.Da"
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"taType\0229\n\014tensor_shape\030\002 \001(\0132#.opencv_te"
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"nsorflow.TensorShapeProto\022\026\n\016version_num"
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"ber\030\003 \001(\005\022\026\n\016tensor_content\030\004 \001(\014\022\024\n\010hal"
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"f_val\030\r \003(\005B\002\020\001\022\025\n\tfloat_val\030\005 \003(\002B\002\020\001\022\026"
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"\n\ndouble_val\030\006 \003(\001B\002\020\001\022\023\n\007int_val\030\007 \003(\005B"
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"\002\020\001\022\022\n\nstring_val\030\010 \003(\014\022\030\n\014scomplex_val\030"
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"\t \003(\002B\002\020\001\022\025\n\tint64_val\030\n \003(\003B\002\020\001\022\024\n\010bool"
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"_val\030\013 \003(\010B\002\020\001\022\030\n\014dcomplex_val\030\014 \003(\001B\002\020\001"
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"B-\n\030org.tensorflow.frameworkB\014TensorProt"
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"osP\001\370\001\001b\006proto3"
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;
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static const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable*const descriptor_table_tensor_2eproto_deps[2] = {
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&::descriptor_table_tensor_5fshape_2eproto,
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&::descriptor_table_types_2eproto,
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};
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static ::PROTOBUF_NAMESPACE_ID::internal::once_flag descriptor_table_tensor_2eproto_once;
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const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_tensor_2eproto = {
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false, false, 495, descriptor_table_protodef_tensor_2eproto, "tensor.proto",
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&descriptor_table_tensor_2eproto_once, descriptor_table_tensor_2eproto_deps, 2, 1,
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schemas, file_default_instances, TableStruct_tensor_2eproto::offsets,
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file_level_metadata_tensor_2eproto, file_level_enum_descriptors_tensor_2eproto, file_level_service_descriptors_tensor_2eproto,
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};
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PROTOBUF_ATTRIBUTE_WEAK const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable* descriptor_table_tensor_2eproto_getter() {
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return &descriptor_table_tensor_2eproto;
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}
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// Force running AddDescriptors() at dynamic initialization time.
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PROTOBUF_ATTRIBUTE_INIT_PRIORITY static ::PROTOBUF_NAMESPACE_ID::internal::AddDescriptorsRunner dynamic_init_dummy_tensor_2eproto(&descriptor_table_tensor_2eproto);
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namespace opencv_tensorflow {
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// ===================================================================
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class TensorProto::_Internal {
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public:
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static const ::opencv_tensorflow::TensorShapeProto& tensor_shape(const TensorProto* msg);
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};
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const ::opencv_tensorflow::TensorShapeProto&
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TensorProto::_Internal::tensor_shape(const TensorProto* msg) {
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return *msg->tensor_shape_;
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}
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void TensorProto::clear_tensor_shape() {
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if (GetArenaForAllocation() == nullptr && tensor_shape_ != nullptr) {
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delete tensor_shape_;
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}
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tensor_shape_ = nullptr;
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}
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TensorProto::TensorProto(::PROTOBUF_NAMESPACE_ID::Arena* arena,
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bool is_message_owned)
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: ::PROTOBUF_NAMESPACE_ID::Message(arena, is_message_owned),
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float_val_(arena),
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double_val_(arena),
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int_val_(arena),
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string_val_(arena),
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scomplex_val_(arena),
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int64_val_(arena),
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bool_val_(arena),
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dcomplex_val_(arena),
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half_val_(arena) {
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SharedCtor();
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if (!is_message_owned) {
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RegisterArenaDtor(arena);
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}
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// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorProto)
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}
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TensorProto::TensorProto(const TensorProto& from)
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: ::PROTOBUF_NAMESPACE_ID::Message(),
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float_val_(from.float_val_),
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double_val_(from.double_val_),
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int_val_(from.int_val_),
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string_val_(from.string_val_),
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scomplex_val_(from.scomplex_val_),
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int64_val_(from.int64_val_),
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bool_val_(from.bool_val_),
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dcomplex_val_(from.dcomplex_val_),
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half_val_(from.half_val_) {
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_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
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tensor_content_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
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#ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING
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tensor_content_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation());
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#endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING
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if (!from._internal_tensor_content().empty()) {
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tensor_content_.Set(::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::EmptyDefault{}, from._internal_tensor_content(),
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GetArenaForAllocation());
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}
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if (from._internal_has_tensor_shape()) {
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tensor_shape_ = new ::opencv_tensorflow::TensorShapeProto(*from.tensor_shape_);
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} else {
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tensor_shape_ = nullptr;
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}
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::memcpy(&dtype_, &from.dtype_,
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static_cast<size_t>(reinterpret_cast<char*>(&version_number_) -
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reinterpret_cast<char*>(&dtype_)) + sizeof(version_number_));
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// @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorProto)
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}
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inline void TensorProto::SharedCtor() {
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tensor_content_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
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#ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING
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tensor_content_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation());
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#endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING
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::memset(reinterpret_cast<char*>(this) + static_cast<size_t>(
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reinterpret_cast<char*>(&tensor_shape_) - reinterpret_cast<char*>(this)),
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0, static_cast<size_t>(reinterpret_cast<char*>(&version_number_) -
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reinterpret_cast<char*>(&tensor_shape_)) + sizeof(version_number_));
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}
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TensorProto::~TensorProto() {
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// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorProto)
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if (GetArenaForAllocation() != nullptr) return;
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SharedDtor();
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_internal_metadata_.Delete<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
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}
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inline void TensorProto::SharedDtor() {
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GOOGLE_DCHECK(GetArenaForAllocation() == nullptr);
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tensor_content_.DestroyNoArena(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
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if (this != internal_default_instance()) delete tensor_shape_;
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}
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void TensorProto::ArenaDtor(void* object) {
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TensorProto* _this = reinterpret_cast< TensorProto* >(object);
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(void)_this;
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}
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void TensorProto::RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena*) {
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}
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void TensorProto::SetCachedSize(int size) const {
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_cached_size_.Set(size);
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}
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void TensorProto::Clear() {
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// @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorProto)
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uint32_t cached_has_bits = 0;
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// Prevent compiler warnings about cached_has_bits being unused
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(void) cached_has_bits;
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float_val_.Clear();
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double_val_.Clear();
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int_val_.Clear();
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string_val_.Clear();
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scomplex_val_.Clear();
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int64_val_.Clear();
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bool_val_.Clear();
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dcomplex_val_.Clear();
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half_val_.Clear();
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tensor_content_.ClearToEmpty();
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if (GetArenaForAllocation() == nullptr && tensor_shape_ != nullptr) {
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delete tensor_shape_;
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}
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tensor_shape_ = nullptr;
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::memset(&dtype_, 0, static_cast<size_t>(
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reinterpret_cast<char*>(&version_number_) -
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reinterpret_cast<char*>(&dtype_)) + sizeof(version_number_));
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_internal_metadata_.Clear<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
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}
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const char* TensorProto::_InternalParse(const char* ptr, ::PROTOBUF_NAMESPACE_ID::internal::ParseContext* ctx) {
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#define CHK_(x) if (PROTOBUF_PREDICT_FALSE(!(x))) goto failure
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while (!ctx->Done(&ptr)) {
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uint32_t tag;
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::ReadTag(ptr, &tag);
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switch (tag >> 3) {
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// .opencv_tensorflow.DataType dtype = 1;
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case 1:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 8)) {
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uint64_t val = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr);
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CHK_(ptr);
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_internal_set_dtype(static_cast<::opencv_tensorflow::DataType>(val));
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} else
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goto handle_unusual;
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continue;
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// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
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case 2:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 18)) {
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ptr = ctx->ParseMessage(_internal_mutable_tensor_shape(), ptr);
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CHK_(ptr);
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} else
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goto handle_unusual;
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continue;
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// int32 version_number = 3;
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case 3:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 24)) {
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version_number_ = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint32(&ptr);
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CHK_(ptr);
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} else
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goto handle_unusual;
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continue;
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// bytes tensor_content = 4;
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case 4:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 34)) {
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auto str = _internal_mutable_tensor_content();
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::InlineGreedyStringParser(str, ptr, ctx);
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CHK_(ptr);
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} else
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goto handle_unusual;
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continue;
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// repeated float float_val = 5 [packed = true];
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case 5:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 42)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedFloatParser(_internal_mutable_float_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 45) {
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_internal_add_float_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<float>(ptr));
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ptr += sizeof(float);
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} else
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goto handle_unusual;
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continue;
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// repeated double double_val = 6 [packed = true];
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case 6:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 50)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedDoubleParser(_internal_mutable_double_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 49) {
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_internal_add_double_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr));
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ptr += sizeof(double);
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} else
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goto handle_unusual;
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continue;
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// repeated int32 int_val = 7 [packed = true];
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case 7:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 58)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedInt32Parser(_internal_mutable_int_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 56) {
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_internal_add_int_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint32(&ptr));
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CHK_(ptr);
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} else
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goto handle_unusual;
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continue;
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// repeated bytes string_val = 8;
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case 8:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 66)) {
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ptr -= 1;
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do {
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ptr += 1;
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auto str = _internal_add_string_val();
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::InlineGreedyStringParser(str, ptr, ctx);
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CHK_(ptr);
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if (!ctx->DataAvailable(ptr)) break;
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} while (::PROTOBUF_NAMESPACE_ID::internal::ExpectTag<66>(ptr));
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} else
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goto handle_unusual;
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continue;
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// repeated float scomplex_val = 9 [packed = true];
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case 9:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 74)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedFloatParser(_internal_mutable_scomplex_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 77) {
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_internal_add_scomplex_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<float>(ptr));
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ptr += sizeof(float);
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} else
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goto handle_unusual;
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continue;
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// repeated int64 int64_val = 10 [packed = true];
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case 10:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 82)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedInt64Parser(_internal_mutable_int64_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 80) {
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_internal_add_int64_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr));
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CHK_(ptr);
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} else
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goto handle_unusual;
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continue;
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// repeated bool bool_val = 11 [packed = true];
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case 11:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 90)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedBoolParser(_internal_mutable_bool_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 88) {
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_internal_add_bool_val(::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr));
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CHK_(ptr);
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} else
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goto handle_unusual;
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continue;
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// repeated double dcomplex_val = 12 [packed = true];
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case 12:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 98)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedDoubleParser(_internal_mutable_dcomplex_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 97) {
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_internal_add_dcomplex_val(::PROTOBUF_NAMESPACE_ID::internal::UnalignedLoad<double>(ptr));
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ptr += sizeof(double);
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} else
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goto handle_unusual;
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continue;
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// repeated int32 half_val = 13 [packed = true];
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case 13:
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if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 106)) {
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ptr = ::PROTOBUF_NAMESPACE_ID::internal::PackedInt32Parser(_internal_mutable_half_val(), ptr, ctx);
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CHK_(ptr);
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} else if (static_cast<uint8_t>(tag) == 104) {
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_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>
|