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opencv/modules/dnn/misc/tensorflow/tensor.pb.cc

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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>