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opencv/modules/dnn/misc/tensorflow/tensor.pb.cc
Alexander Alekhin b7b82c1cef dnn(tensorflow): re-generate files using protoc
2018-09-12 21:33:45 +03:00

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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/stubs/common.h>
#include <google/protobuf/stubs/port.h>
#include <google/protobuf/stubs/once.h>
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/wire_format_lite_inl.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>
// This is a temporary google only hack
#ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
#include "third_party/protobuf/version.h"
#endif
// @@protoc_insertion_point(includes)
namespace opencv_tensorflow {
class TensorProtoDefaultTypeInternal {
public:
::google::protobuf::internal::ExplicitlyConstructed<TensorProto>
_instance;
} _TensorProto_default_instance_;
} // namespace opencv_tensorflow
namespace protobuf_tensor_2eproto {
void InitDefaultsTensorProtoImpl() {
GOOGLE_PROTOBUF_VERIFY_VERSION;
#ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
::google::protobuf::internal::InitProtobufDefaultsForceUnique();
#else
::google::protobuf::internal::InitProtobufDefaults();
#endif // GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto();
{
void* ptr = &::opencv_tensorflow::_TensorProto_default_instance_;
new (ptr) ::opencv_tensorflow::TensorProto();
::google::protobuf::internal::OnShutdownDestroyMessage(ptr);
}
::opencv_tensorflow::TensorProto::InitAsDefaultInstance();
}
void InitDefaultsTensorProto() {
static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
::google::protobuf::GoogleOnceInit(&once, &InitDefaultsTensorProtoImpl);
}
::google::protobuf::Metadata file_level_metadata[1];
const ::google::protobuf::uint32 TableStruct::offsets[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
~0u, // no _has_bits_
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, _internal_metadata_),
~0u, // no _extensions_
~0u, // no _oneof_case_
~0u, // no _weak_field_map_
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, dtype_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, tensor_shape_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, version_number_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, tensor_content_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, half_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, float_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, double_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, int_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, string_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, scomplex_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, int64_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, bool_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorProto, dcomplex_val_),
};
static const ::google::protobuf::internal::MigrationSchema schemas[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
{ 0, -1, sizeof(::opencv_tensorflow::TensorProto)},
};
static ::google::protobuf::Message const * const file_default_instances[] = {
reinterpret_cast<const ::google::protobuf::Message*>(&::opencv_tensorflow::_TensorProto_default_instance_),
};
void protobuf_AssignDescriptors() {
AddDescriptors();
::google::protobuf::MessageFactory* factory = NULL;
AssignDescriptors(
"tensor.proto", schemas, file_default_instances, TableStruct::offsets, factory,
file_level_metadata, NULL, NULL);
}
void protobuf_AssignDescriptorsOnce() {
static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
::google::protobuf::GoogleOnceInit(&once, &protobuf_AssignDescriptors);
}
void protobuf_RegisterTypes(const ::std::string&) GOOGLE_PROTOBUF_ATTRIBUTE_COLD;
void protobuf_RegisterTypes(const ::std::string&) {
protobuf_AssignDescriptorsOnce();
::google::protobuf::internal::RegisterAllTypes(file_level_metadata, 1);
}
void AddDescriptorsImpl() {
InitDefaults();
static const char descriptor[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
"\n\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"
};
::google::protobuf::DescriptorPool::InternalAddGeneratedFile(
descriptor, 495);
::google::protobuf::MessageFactory::InternalRegisterGeneratedFile(
"tensor.proto", &protobuf_RegisterTypes);
::protobuf_tensor_5fshape_2eproto::AddDescriptors();
::protobuf_types_2eproto::AddDescriptors();
}
void AddDescriptors() {
static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
::google::protobuf::GoogleOnceInit(&once, &AddDescriptorsImpl);
}
// Force AddDescriptors() to be called at dynamic initialization time.
struct StaticDescriptorInitializer {
StaticDescriptorInitializer() {
AddDescriptors();
}
} static_descriptor_initializer;
} // namespace protobuf_tensor_2eproto
namespace opencv_tensorflow {
// ===================================================================
void TensorProto::InitAsDefaultInstance() {
::opencv_tensorflow::_TensorProto_default_instance_._instance.get_mutable()->tensor_shape_ = const_cast< ::opencv_tensorflow::TensorShapeProto*>(
::opencv_tensorflow::TensorShapeProto::internal_default_instance());
}
void TensorProto::_slow_mutable_tensor_shape() {
tensor_shape_ = ::google::protobuf::Arena::CreateMessage< ::opencv_tensorflow::TensorShapeProto >(
GetArenaNoVirtual());
}
void TensorProto::unsafe_arena_set_allocated_tensor_shape(
::opencv_tensorflow::TensorShapeProto* tensor_shape) {
if (GetArenaNoVirtual() == NULL) {
delete tensor_shape_;
}
tensor_shape_ = tensor_shape;
if (tensor_shape) {
} else {
}
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:opencv_tensorflow.TensorProto.tensor_shape)
}
void TensorProto::clear_tensor_shape() {
if (GetArenaNoVirtual() == NULL && tensor_shape_ != NULL) {
delete tensor_shape_;
}
tensor_shape_ = NULL;
}
#if !defined(_MSC_VER) || _MSC_VER >= 1900
const int TensorProto::kDtypeFieldNumber;
const int TensorProto::kTensorShapeFieldNumber;
const int TensorProto::kVersionNumberFieldNumber;
const int TensorProto::kTensorContentFieldNumber;
const int TensorProto::kHalfValFieldNumber;
const int TensorProto::kFloatValFieldNumber;
const int TensorProto::kDoubleValFieldNumber;
const int TensorProto::kIntValFieldNumber;
const int TensorProto::kStringValFieldNumber;
const int TensorProto::kScomplexValFieldNumber;
const int TensorProto::kInt64ValFieldNumber;
const int TensorProto::kBoolValFieldNumber;
const int TensorProto::kDcomplexValFieldNumber;
#endif // !defined(_MSC_VER) || _MSC_VER >= 1900
TensorProto::TensorProto()
: ::google::protobuf::Message(), _internal_metadata_(NULL) {
if (GOOGLE_PREDICT_TRUE(this != internal_default_instance())) {
::protobuf_tensor_2eproto::InitDefaultsTensorProto();
}
SharedCtor();
// @@protoc_insertion_point(constructor:opencv_tensorflow.TensorProto)
}
TensorProto::TensorProto(::google::protobuf::Arena* arena)
: ::google::protobuf::Message(),
_internal_metadata_(arena),
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) {
::protobuf_tensor_2eproto::InitDefaultsTensorProto();
SharedCtor();
RegisterArenaDtor(arena);
// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorProto)
}
TensorProto::TensorProto(const TensorProto& from)
: ::google::protobuf::Message(),
_internal_metadata_(NULL),
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_),
_cached_size_(0) {
_internal_metadata_.MergeFrom(from._internal_metadata_);
tensor_content_.UnsafeSetDefault(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
if (from.tensor_content().size() > 0) {
tensor_content_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), from.tensor_content(),
GetArenaNoVirtual());
}
if (from.has_tensor_shape()) {
tensor_shape_ = new ::opencv_tensorflow::TensorShapeProto(*from.tensor_shape_);
} else {
tensor_shape_ = NULL;
}
::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)
}
void TensorProto::SharedCtor() {
tensor_content_.UnsafeSetDefault(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
::memset(&tensor_shape_, 0, static_cast<size_t>(
reinterpret_cast<char*>(&version_number_) -
reinterpret_cast<char*>(&tensor_shape_)) + sizeof(version_number_));
_cached_size_ = 0;
}
TensorProto::~TensorProto() {
// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorProto)
SharedDtor();
}
void TensorProto::SharedDtor() {
GOOGLE_DCHECK(GetArenaNoVirtual() == NULL);
tensor_content_.DestroyNoArena(&::google::protobuf::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(::google::protobuf::Arena* arena) {
}
void TensorProto::SetCachedSize(int size) const {
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_cached_size_ = size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
}
const ::google::protobuf::Descriptor* TensorProto::descriptor() {
::protobuf_tensor_2eproto::protobuf_AssignDescriptorsOnce();
return ::protobuf_tensor_2eproto::file_level_metadata[kIndexInFileMessages].descriptor;
}
const TensorProto& TensorProto::default_instance() {
::protobuf_tensor_2eproto::InitDefaultsTensorProto();
return *internal_default_instance();
}
TensorProto* TensorProto::New(::google::protobuf::Arena* arena) const {
return ::google::protobuf::Arena::CreateMessage<TensorProto>(arena);
}
void TensorProto::Clear() {
// @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorProto)
::google::protobuf::uint32 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(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
if (GetArenaNoVirtual() == NULL && tensor_shape_ != NULL) {
delete tensor_shape_;
}
tensor_shape_ = NULL;
::memset(&dtype_, 0, static_cast<size_t>(
reinterpret_cast<char*>(&version_number_) -
reinterpret_cast<char*>(&dtype_)) + sizeof(version_number_));
_internal_metadata_.Clear();
}
bool TensorProto::MergePartialFromCodedStream(
::google::protobuf::io::CodedInputStream* input) {
#define DO_(EXPRESSION) if (!GOOGLE_PREDICT_TRUE(EXPRESSION)) goto failure
::google::protobuf::uint32 tag;
// @@protoc_insertion_point(parse_start:opencv_tensorflow.TensorProto)
for (;;) {
::std::pair< ::google::protobuf::uint32, bool> p = input->ReadTagWithCutoffNoLastTag(127u);
tag = p.first;
if (!p.second) goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// .opencv_tensorflow.DataType dtype = 1;
case 1: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
int value;
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
set_dtype(static_cast< ::opencv_tensorflow::DataType >(value));
} else {
goto handle_unusual;
}
break;
}
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
case 2: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::ReadMessage(
input, mutable_tensor_shape()));
} else {
goto handle_unusual;
}
break;
}
// int32 version_number = 3;
case 3: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(24u /* 24 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, &version_number_)));
} else {
goto handle_unusual;
}
break;
}
// bytes tensor_content = 4;
case 4: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(34u /* 34 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::ReadBytes(
input, this->mutable_tensor_content()));
} else {
goto handle_unusual;
}
break;
}
// repeated float float_val = 5 [packed = true];
case 5: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(42u /* 42 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
float, ::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
input, this->mutable_float_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(45u /* 45 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
float, ::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
1, 42u, input, this->mutable_float_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated double double_val = 6 [packed = true];
case 6: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(50u /* 50 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
double, ::google::protobuf::internal::WireFormatLite::TYPE_DOUBLE>(
input, this->mutable_double_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(49u /* 49 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
double, ::google::protobuf::internal::WireFormatLite::TYPE_DOUBLE>(
1, 50u, input, this->mutable_double_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated int32 int_val = 7 [packed = true];
case 7: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(58u /* 58 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, this->mutable_int_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(56u /* 56 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
1, 58u, input, this->mutable_int_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated bytes string_val = 8;
case 8: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(66u /* 66 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::ReadBytes(
input, this->add_string_val()));
} else {
goto handle_unusual;
}
break;
}
// repeated float scomplex_val = 9 [packed = true];
case 9: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(74u /* 74 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
float, ::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
input, this->mutable_scomplex_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(77u /* 77 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
float, ::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
1, 74u, input, this->mutable_scomplex_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated int64 int64_val = 10 [packed = true];
case 10: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(82u /* 82 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
::google::protobuf::int64, ::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
input, this->mutable_int64_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(80u /* 80 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
::google::protobuf::int64, ::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
1, 82u, input, this->mutable_int64_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated bool bool_val = 11 [packed = true];
case 11: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(90u /* 90 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, this->mutable_bool_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(88u /* 88 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
1, 90u, input, this->mutable_bool_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated double dcomplex_val = 12 [packed = true];
case 12: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(98u /* 98 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
double, ::google::protobuf::internal::WireFormatLite::TYPE_DOUBLE>(
input, this->mutable_dcomplex_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(97u /* 97 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
double, ::google::protobuf::internal::WireFormatLite::TYPE_DOUBLE>(
1, 98u, input, this->mutable_dcomplex_val())));
} else {
goto handle_unusual;
}
break;
}
// repeated int32 half_val = 13 [packed = true];
case 13: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(106u /* 106 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPackedPrimitive<
::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, this->mutable_half_val())));
} else if (
static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(104u /* 104 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitiveNoInline<
::google::protobuf::int32, ::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
1, 106u, input, this->mutable_half_val())));
} else {
goto handle_unusual;
}
break;
}
default: {
handle_unusual:
if (tag == 0) {
goto success;
}
DO_(::google::protobuf::internal::WireFormat::SkipField(
input, tag, _internal_metadata_.mutable_unknown_fields()));
break;
}
}
}
success:
// @@protoc_insertion_point(parse_success:opencv_tensorflow.TensorProto)
return true;
failure:
// @@protoc_insertion_point(parse_failure:opencv_tensorflow.TensorProto)
return false;
#undef DO_
}
void TensorProto::SerializeWithCachedSizes(
::google::protobuf::io::CodedOutputStream* output) const {
// @@protoc_insertion_point(serialize_start:opencv_tensorflow.TensorProto)
::google::protobuf::uint32 cached_has_bits = 0;
(void) cached_has_bits;
// .opencv_tensorflow.DataType dtype = 1;
if (this->dtype() != 0) {
::google::protobuf::internal::WireFormatLite::WriteEnum(
1, this->dtype(), output);
}
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
if (this->has_tensor_shape()) {
::google::protobuf::internal::WireFormatLite::WriteMessageMaybeToArray(
2, *this->tensor_shape_, output);
}
// int32 version_number = 3;
if (this->version_number() != 0) {
::google::protobuf::internal::WireFormatLite::WriteInt32(3, this->version_number(), output);
}
// bytes tensor_content = 4;
if (this->tensor_content().size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteBytesMaybeAliased(
4, this->tensor_content(), output);
}
// repeated float float_val = 5 [packed = true];
if (this->float_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(5, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_float_val_cached_byte_size_));
::google::protobuf::internal::WireFormatLite::WriteFloatArray(
this->float_val().data(), this->float_val_size(), output);
}
// repeated double double_val = 6 [packed = true];
if (this->double_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(6, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_double_val_cached_byte_size_));
::google::protobuf::internal::WireFormatLite::WriteDoubleArray(
this->double_val().data(), this->double_val_size(), output);
}
// repeated int32 int_val = 7 [packed = true];
if (this->int_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(7, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_int_val_cached_byte_size_));
}
for (int i = 0, n = this->int_val_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteInt32NoTag(
this->int_val(i), output);
}
// repeated bytes string_val = 8;
for (int i = 0, n = this->string_val_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteBytes(
8, this->string_val(i), output);
}
// repeated float scomplex_val = 9 [packed = true];
if (this->scomplex_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(9, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_scomplex_val_cached_byte_size_));
::google::protobuf::internal::WireFormatLite::WriteFloatArray(
this->scomplex_val().data(), this->scomplex_val_size(), output);
}
// repeated int64 int64_val = 10 [packed = true];
if (this->int64_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(10, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_int64_val_cached_byte_size_));
}
for (int i = 0, n = this->int64_val_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteInt64NoTag(
this->int64_val(i), output);
}
// repeated bool bool_val = 11 [packed = true];
if (this->bool_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(11, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_bool_val_cached_byte_size_));
::google::protobuf::internal::WireFormatLite::WriteBoolArray(
this->bool_val().data(), this->bool_val_size(), output);
}
// repeated double dcomplex_val = 12 [packed = true];
if (this->dcomplex_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(12, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_dcomplex_val_cached_byte_size_));
::google::protobuf::internal::WireFormatLite::WriteDoubleArray(
this->dcomplex_val().data(), this->dcomplex_val_size(), output);
}
// repeated int32 half_val = 13 [packed = true];
if (this->half_val_size() > 0) {
::google::protobuf::internal::WireFormatLite::WriteTag(13, ::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED, output);
output->WriteVarint32(static_cast< ::google::protobuf::uint32>(
_half_val_cached_byte_size_));
}
for (int i = 0, n = this->half_val_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteInt32NoTag(
this->half_val(i), output);
}
if ((_internal_metadata_.have_unknown_fields() && ::google::protobuf::internal::GetProto3PreserveUnknownsDefault())) {
::google::protobuf::internal::WireFormat::SerializeUnknownFields(
(::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance()), output);
}
// @@protoc_insertion_point(serialize_end:opencv_tensorflow.TensorProto)
}
::google::protobuf::uint8* TensorProto::InternalSerializeWithCachedSizesToArray(
bool deterministic, ::google::protobuf::uint8* target) const {
(void)deterministic; // Unused
// @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorProto)
::google::protobuf::uint32 cached_has_bits = 0;
(void) cached_has_bits;
// .opencv_tensorflow.DataType dtype = 1;
if (this->dtype() != 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteEnumToArray(
1, this->dtype(), target);
}
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
if (this->has_tensor_shape()) {
target = ::google::protobuf::internal::WireFormatLite::
InternalWriteMessageToArray(
2, *this->tensor_shape_, deterministic, target);
}
// int32 version_number = 3;
if (this->version_number() != 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteInt32ToArray(3, this->version_number(), target);
}
// bytes tensor_content = 4;
if (this->tensor_content().size() > 0) {
target =
::google::protobuf::internal::WireFormatLite::WriteBytesToArray(
4, this->tensor_content(), target);
}
// repeated float float_val = 5 [packed = true];
if (this->float_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
5,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_float_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteFloatNoTagToArray(this->float_val_, target);
}
// repeated double double_val = 6 [packed = true];
if (this->double_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
6,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_double_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteDoubleNoTagToArray(this->double_val_, target);
}
// repeated int32 int_val = 7 [packed = true];
if (this->int_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
7,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_int_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteInt32NoTagToArray(this->int_val_, target);
}
// repeated bytes string_val = 8;
for (int i = 0, n = this->string_val_size(); i < n; i++) {
target = ::google::protobuf::internal::WireFormatLite::
WriteBytesToArray(8, this->string_val(i), target);
}
// repeated float scomplex_val = 9 [packed = true];
if (this->scomplex_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
9,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_scomplex_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteFloatNoTagToArray(this->scomplex_val_, target);
}
// repeated int64 int64_val = 10 [packed = true];
if (this->int64_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
10,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_int64_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteInt64NoTagToArray(this->int64_val_, target);
}
// repeated bool bool_val = 11 [packed = true];
if (this->bool_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
11,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_bool_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteBoolNoTagToArray(this->bool_val_, target);
}
// repeated double dcomplex_val = 12 [packed = true];
if (this->dcomplex_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
12,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_dcomplex_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteDoubleNoTagToArray(this->dcomplex_val_, target);
}
// repeated int32 half_val = 13 [packed = true];
if (this->half_val_size() > 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteTagToArray(
13,
::google::protobuf::internal::WireFormatLite::WIRETYPE_LENGTH_DELIMITED,
target);
target = ::google::protobuf::io::CodedOutputStream::WriteVarint32ToArray(
static_cast< ::google::protobuf::int32>(
_half_val_cached_byte_size_), target);
target = ::google::protobuf::internal::WireFormatLite::
WriteInt32NoTagToArray(this->half_val_, target);
}
if ((_internal_metadata_.have_unknown_fields() && ::google::protobuf::internal::GetProto3PreserveUnknownsDefault())) {
target = ::google::protobuf::internal::WireFormat::SerializeUnknownFieldsToArray(
(::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance()), target);
}
// @@protoc_insertion_point(serialize_to_array_end:opencv_tensorflow.TensorProto)
return target;
}
size_t TensorProto::ByteSizeLong() const {
// @@protoc_insertion_point(message_byte_size_start:opencv_tensorflow.TensorProto)
size_t total_size = 0;
if ((_internal_metadata_.have_unknown_fields() && ::google::protobuf::internal::GetProto3PreserveUnknownsDefault())) {
total_size +=
::google::protobuf::internal::WireFormat::ComputeUnknownFieldsSize(
(::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance()));
}
// repeated float float_val = 5 [packed = true];
{
unsigned int count = static_cast<unsigned int>(this->float_val_size());
size_t data_size = 4UL * count;
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_float_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated double double_val = 6 [packed = true];
{
unsigned int count = static_cast<unsigned int>(this->double_val_size());
size_t data_size = 8UL * count;
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_double_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated int32 int_val = 7 [packed = true];
{
size_t data_size = ::google::protobuf::internal::WireFormatLite::
Int32Size(this->int_val_);
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_int_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated bytes string_val = 8;
total_size += 1 *
::google::protobuf::internal::FromIntSize(this->string_val_size());
for (int i = 0, n = this->string_val_size(); i < n; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::BytesSize(
this->string_val(i));
}
// repeated float scomplex_val = 9 [packed = true];
{
unsigned int count = static_cast<unsigned int>(this->scomplex_val_size());
size_t data_size = 4UL * count;
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_scomplex_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated int64 int64_val = 10 [packed = true];
{
size_t data_size = ::google::protobuf::internal::WireFormatLite::
Int64Size(this->int64_val_);
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_int64_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated bool bool_val = 11 [packed = true];
{
unsigned int count = static_cast<unsigned int>(this->bool_val_size());
size_t data_size = 1UL * count;
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_bool_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated double dcomplex_val = 12 [packed = true];
{
unsigned int count = static_cast<unsigned int>(this->dcomplex_val_size());
size_t data_size = 8UL * count;
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_dcomplex_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// repeated int32 half_val = 13 [packed = true];
{
size_t data_size = ::google::protobuf::internal::WireFormatLite::
Int32Size(this->half_val_);
if (data_size > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
static_cast< ::google::protobuf::int32>(data_size));
}
int cached_size = ::google::protobuf::internal::ToCachedSize(data_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_half_val_cached_byte_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
total_size += data_size;
}
// bytes tensor_content = 4;
if (this->tensor_content().size() > 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::BytesSize(
this->tensor_content());
}
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
if (this->has_tensor_shape()) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::MessageSize(
*this->tensor_shape_);
}
// .opencv_tensorflow.DataType dtype = 1;
if (this->dtype() != 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::EnumSize(this->dtype());
}
// int32 version_number = 3;
if (this->version_number() != 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::Int32Size(
this->version_number());
}
int cached_size = ::google::protobuf::internal::ToCachedSize(total_size);
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
_cached_size_ = cached_size;
GOOGLE_SAFE_CONCURRENT_WRITES_END();
return total_size;
}
void TensorProto::MergeFrom(const ::google::protobuf::Message& from) {
// @@protoc_insertion_point(generalized_merge_from_start:opencv_tensorflow.TensorProto)
GOOGLE_DCHECK_NE(&from, this);
const TensorProto* source =
::google::protobuf::internal::DynamicCastToGenerated<const TensorProto>(
&from);
if (source == NULL) {
// @@protoc_insertion_point(generalized_merge_from_cast_fail:opencv_tensorflow.TensorProto)
::google::protobuf::internal::ReflectionOps::Merge(from, this);
} else {
// @@protoc_insertion_point(generalized_merge_from_cast_success:opencv_tensorflow.TensorProto)
MergeFrom(*source);
}
}
void TensorProto::MergeFrom(const TensorProto& from) {
// @@protoc_insertion_point(class_specific_merge_from_start:opencv_tensorflow.TensorProto)
GOOGLE_DCHECK_NE(&from, this);
_internal_metadata_.MergeFrom(from._internal_metadata_);
::google::protobuf::uint32 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.tensor_content().size() > 0) {
set_tensor_content(from.tensor_content());
}
if (from.has_tensor_shape()) {
mutable_tensor_shape()->::opencv_tensorflow::TensorShapeProto::MergeFrom(from.tensor_shape());
}
if (from.dtype() != 0) {
set_dtype(from.dtype());
}
if (from.version_number() != 0) {
set_version_number(from.version_number());
}
}
void TensorProto::CopyFrom(const ::google::protobuf::Message& from) {
// @@protoc_insertion_point(generalized_copy_from_start:opencv_tensorflow.TensorProto)
if (&from == this) return;
Clear();
MergeFrom(from);
}
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::Swap(TensorProto* other) {
if (other == this) return;
if (GetArenaNoVirtual() == other->GetArenaNoVirtual()) {
InternalSwap(other);
} else {
TensorProto* temp = New(GetArenaNoVirtual());
temp->MergeFrom(*other);
other->CopyFrom(*this);
InternalSwap(temp);
if (GetArenaNoVirtual() == NULL) {
delete temp;
}
}
}
void TensorProto::UnsafeArenaSwap(TensorProto* other) {
if (other == this) return;
GOOGLE_DCHECK(GetArenaNoVirtual() == other->GetArenaNoVirtual());
InternalSwap(other);
}
void TensorProto::InternalSwap(TensorProto* other) {
using std::swap;
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_);
tensor_content_.Swap(&other->tensor_content_);
swap(tensor_shape_, other->tensor_shape_);
swap(dtype_, other->dtype_);
swap(version_number_, other->version_number_);
_internal_metadata_.Swap(&other->_internal_metadata_);
swap(_cached_size_, other->_cached_size_);
}
::google::protobuf::Metadata TensorProto::GetMetadata() const {
protobuf_tensor_2eproto::protobuf_AssignDescriptorsOnce();
return ::protobuf_tensor_2eproto::file_level_metadata[kIndexInFileMessages];
}
// @@protoc_insertion_point(namespace_scope)
} // namespace opencv_tensorflow
// @@protoc_insertion_point(global_scope)
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