Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

555 lines
21 KiB

// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensor_shape.proto
#include "tensor_shape.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 TensorShapeProto_Dim::TensorShapeProto_Dim(
::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized)
: name_(&::PROTOBUF_NAMESPACE_ID::internal::fixed_address_empty_string)
, size_(int64_t{0}){}
struct TensorShapeProto_DimDefaultTypeInternal {
constexpr TensorShapeProto_DimDefaultTypeInternal()
: _instance(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized{}) {}
~TensorShapeProto_DimDefaultTypeInternal() {}
union {
TensorShapeProto_Dim _instance;
};
};
PROTOBUF_ATTRIBUTE_NO_DESTROY PROTOBUF_CONSTINIT TensorShapeProto_DimDefaultTypeInternal _TensorShapeProto_Dim_default_instance_;
constexpr TensorShapeProto::TensorShapeProto(
::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized)
: dim_()
, unknown_rank_(false){}
struct TensorShapeProtoDefaultTypeInternal {
constexpr TensorShapeProtoDefaultTypeInternal()
: _instance(::PROTOBUF_NAMESPACE_ID::internal::ConstantInitialized{}) {}
~TensorShapeProtoDefaultTypeInternal() {}
union {
TensorShapeProto _instance;
};
};
PROTOBUF_ATTRIBUTE_NO_DESTROY PROTOBUF_CONSTINIT TensorShapeProtoDefaultTypeInternal _TensorShapeProto_default_instance_;
} // namespace opencv_tensorflow
static ::PROTOBUF_NAMESPACE_ID::Metadata file_level_metadata_tensor_5fshape_2eproto[2];
static constexpr ::PROTOBUF_NAMESPACE_ID::EnumDescriptor const** file_level_enum_descriptors_tensor_5fshape_2eproto = nullptr;
static constexpr ::PROTOBUF_NAMESPACE_ID::ServiceDescriptor const** file_level_service_descriptors_tensor_5fshape_2eproto = nullptr;
const uint32_t TableStruct_tensor_5fshape_2eproto::offsets[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = {
~0u, // no _has_bits_
PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto_Dim, _internal_metadata_),
~0u, // no _extensions_
~0u, // no _oneof_case_
~0u, // no _weak_field_map_
~0u, // no _inlined_string_donated_
PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto_Dim, size_),
PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto_Dim, name_),
~0u, // no _has_bits_
PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto, _internal_metadata_),
~0u, // no _extensions_
~0u, // no _oneof_case_
~0u, // no _weak_field_map_
~0u, // no _inlined_string_donated_
PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto, dim_),
PROTOBUF_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto, unknown_rank_),
};
static const ::PROTOBUF_NAMESPACE_ID::internal::MigrationSchema schemas[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) = {
{ 0, -1, -1, sizeof(::opencv_tensorflow::TensorShapeProto_Dim)},
{ 8, -1, -1, sizeof(::opencv_tensorflow::TensorShapeProto)},
};
static ::PROTOBUF_NAMESPACE_ID::Message const * const file_default_instances[] = {
reinterpret_cast<const ::PROTOBUF_NAMESPACE_ID::Message*>(&::opencv_tensorflow::_TensorShapeProto_Dim_default_instance_),
reinterpret_cast<const ::PROTOBUF_NAMESPACE_ID::Message*>(&::opencv_tensorflow::_TensorShapeProto_default_instance_),
};
const char descriptor_table_protodef_tensor_5fshape_2eproto[] PROTOBUF_SECTION_VARIABLE(protodesc_cold) =
"\n\022tensor_shape.proto\022\021opencv_tensorflow\""
"\201\001\n\020TensorShapeProto\0224\n\003dim\030\002 \003(\0132\'.open"
"cv_tensorflow.TensorShapeProto.Dim\022\024\n\014un"
"known_rank\030\003 \001(\010\032!\n\003Dim\022\014\n\004size\030\001 \001(\003\022\014\n"
"\004name\030\002 \001(\tB2\n\030org.tensorflow.frameworkB"
"\021TensorShapeProtosP\001\370\001\001b\006proto3"
;
static ::PROTOBUF_NAMESPACE_ID::internal::once_flag descriptor_table_tensor_5fshape_2eproto_once;
const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable descriptor_table_tensor_5fshape_2eproto = {
false, false, 231, descriptor_table_protodef_tensor_5fshape_2eproto, "tensor_shape.proto",
&descriptor_table_tensor_5fshape_2eproto_once, nullptr, 0, 2,
schemas, file_default_instances, TableStruct_tensor_5fshape_2eproto::offsets,
file_level_metadata_tensor_5fshape_2eproto, file_level_enum_descriptors_tensor_5fshape_2eproto, file_level_service_descriptors_tensor_5fshape_2eproto,
};
PROTOBUF_ATTRIBUTE_WEAK const ::PROTOBUF_NAMESPACE_ID::internal::DescriptorTable* descriptor_table_tensor_5fshape_2eproto_getter() {
return &descriptor_table_tensor_5fshape_2eproto;
}
// Force running AddDescriptors() at dynamic initialization time.
PROTOBUF_ATTRIBUTE_INIT_PRIORITY static ::PROTOBUF_NAMESPACE_ID::internal::AddDescriptorsRunner dynamic_init_dummy_tensor_5fshape_2eproto(&descriptor_table_tensor_5fshape_2eproto);
namespace opencv_tensorflow {
// ===================================================================
class TensorShapeProto_Dim::_Internal {
public:
};
TensorShapeProto_Dim::TensorShapeProto_Dim(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned)
: ::PROTOBUF_NAMESPACE_ID::Message(arena, is_message_owned) {
SharedCtor();
if (!is_message_owned) {
RegisterArenaDtor(arena);
}
// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorShapeProto.Dim)
}
TensorShapeProto_Dim::TensorShapeProto_Dim(const TensorShapeProto_Dim& from)
: ::PROTOBUF_NAMESPACE_ID::Message() {
_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
name_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
#ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING
name_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation());
#endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING
if (!from._internal_name().empty()) {
name_.Set(::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::EmptyDefault{}, from._internal_name(),
GetArenaForAllocation());
}
size_ = from.size_;
// @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorShapeProto.Dim)
}
inline void TensorShapeProto_Dim::SharedCtor() {
name_.UnsafeSetDefault(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
#ifdef PROTOBUF_FORCE_COPY_DEFAULT_STRING
name_.Set(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(), "", GetArenaForAllocation());
#endif // PROTOBUF_FORCE_COPY_DEFAULT_STRING
size_ = int64_t{0};
}
TensorShapeProto_Dim::~TensorShapeProto_Dim() {
// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorShapeProto.Dim)
if (GetArenaForAllocation() != nullptr) return;
SharedDtor();
_internal_metadata_.Delete<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
}
inline void TensorShapeProto_Dim::SharedDtor() {
GOOGLE_DCHECK(GetArenaForAllocation() == nullptr);
name_.DestroyNoArena(&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited());
}
void TensorShapeProto_Dim::ArenaDtor(void* object) {
TensorShapeProto_Dim* _this = reinterpret_cast< TensorShapeProto_Dim* >(object);
(void)_this;
}
void TensorShapeProto_Dim::RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena*) {
}
void TensorShapeProto_Dim::SetCachedSize(int size) const {
_cached_size_.Set(size);
}
void TensorShapeProto_Dim::Clear() {
// @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorShapeProto.Dim)
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
name_.ClearToEmpty();
size_ = int64_t{0};
_internal_metadata_.Clear<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
}
const char* TensorShapeProto_Dim::_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) {
// int64 size = 1;
case 1:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 8)) {
size_ = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&ptr);
CHK_(ptr);
} else
goto handle_unusual;
continue;
// string name = 2;
case 2:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 18)) {
auto str = _internal_mutable_name();
ptr = ::PROTOBUF_NAMESPACE_ID::internal::InlineGreedyStringParser(str, ptr, ctx);
CHK_(::PROTOBUF_NAMESPACE_ID::internal::VerifyUTF8(str, "opencv_tensorflow.TensorShapeProto.Dim.name"));
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* TensorShapeProto_Dim::_InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const {
// @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorShapeProto.Dim)
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
// int64 size = 1;
if (this->_internal_size() != 0) {
target = stream->EnsureSpace(target);
target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::WriteInt64ToArray(1, this->_internal_size(), target);
}
// string name = 2;
if (!this->_internal_name().empty()) {
::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::VerifyUtf8String(
this->_internal_name().data(), static_cast<int>(this->_internal_name().length()),
::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::SERIALIZE,
"opencv_tensorflow.TensorShapeProto.Dim.name");
target = stream->WriteStringMaybeAliased(
2, this->_internal_name(), 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.TensorShapeProto.Dim)
return target;
}
size_t TensorShapeProto_Dim::ByteSizeLong() const {
// @@protoc_insertion_point(message_byte_size_start:opencv_tensorflow.TensorShapeProto.Dim)
size_t total_size = 0;
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
// string name = 2;
if (!this->_internal_name().empty()) {
total_size += 1 +
::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::StringSize(
this->_internal_name());
}
// int64 size = 1;
if (this->_internal_size() != 0) {
total_size += ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::Int64SizePlusOne(this->_internal_size());
}
return MaybeComputeUnknownFieldsSize(total_size, &_cached_size_);
}
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData TensorShapeProto_Dim::_class_data_ = {
::PROTOBUF_NAMESPACE_ID::Message::CopyWithSizeCheck,
TensorShapeProto_Dim::MergeImpl
};
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*TensorShapeProto_Dim::GetClassData() const { return &_class_data_; }
void TensorShapeProto_Dim::MergeImpl(::PROTOBUF_NAMESPACE_ID::Message* to,
const ::PROTOBUF_NAMESPACE_ID::Message& from) {
static_cast<TensorShapeProto_Dim *>(to)->MergeFrom(
static_cast<const TensorShapeProto_Dim &>(from));
}
void TensorShapeProto_Dim::MergeFrom(const TensorShapeProto_Dim& from) {
// @@protoc_insertion_point(class_specific_merge_from_start:opencv_tensorflow.TensorShapeProto.Dim)
GOOGLE_DCHECK_NE(&from, this);
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
if (!from._internal_name().empty()) {
_internal_set_name(from._internal_name());
}
if (from._internal_size() != 0) {
_internal_set_size(from._internal_size());
}
_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
}
void TensorShapeProto_Dim::CopyFrom(const TensorShapeProto_Dim& from) {
// @@protoc_insertion_point(class_specific_copy_from_start:opencv_tensorflow.TensorShapeProto.Dim)
if (&from == this) return;
Clear();
MergeFrom(from);
}
bool TensorShapeProto_Dim::IsInitialized() const {
return true;
}
void TensorShapeProto_Dim::InternalSwap(TensorShapeProto_Dim* other) {
using std::swap;
auto* lhs_arena = GetArenaForAllocation();
auto* rhs_arena = other->GetArenaForAllocation();
_internal_metadata_.InternalSwap(&other->_internal_metadata_);
::PROTOBUF_NAMESPACE_ID::internal::ArenaStringPtr::InternalSwap(
&::PROTOBUF_NAMESPACE_ID::internal::GetEmptyStringAlreadyInited(),
&name_, lhs_arena,
&other->name_, rhs_arena
);
swap(size_, other->size_);
}
::PROTOBUF_NAMESPACE_ID::Metadata TensorShapeProto_Dim::GetMetadata() const {
return ::PROTOBUF_NAMESPACE_ID::internal::AssignDescriptors(
&descriptor_table_tensor_5fshape_2eproto_getter, &descriptor_table_tensor_5fshape_2eproto_once,
file_level_metadata_tensor_5fshape_2eproto[0]);
}
// ===================================================================
class TensorShapeProto::_Internal {
public:
};
TensorShapeProto::TensorShapeProto(::PROTOBUF_NAMESPACE_ID::Arena* arena,
bool is_message_owned)
: ::PROTOBUF_NAMESPACE_ID::Message(arena, is_message_owned),
dim_(arena) {
SharedCtor();
if (!is_message_owned) {
RegisterArenaDtor(arena);
}
// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorShapeProto)
}
TensorShapeProto::TensorShapeProto(const TensorShapeProto& from)
: ::PROTOBUF_NAMESPACE_ID::Message(),
dim_(from.dim_) {
_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
unknown_rank_ = from.unknown_rank_;
// @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorShapeProto)
}
inline void TensorShapeProto::SharedCtor() {
unknown_rank_ = false;
}
TensorShapeProto::~TensorShapeProto() {
// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorShapeProto)
if (GetArenaForAllocation() != nullptr) return;
SharedDtor();
_internal_metadata_.Delete<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
}
inline void TensorShapeProto::SharedDtor() {
GOOGLE_DCHECK(GetArenaForAllocation() == nullptr);
}
void TensorShapeProto::ArenaDtor(void* object) {
TensorShapeProto* _this = reinterpret_cast< TensorShapeProto* >(object);
(void)_this;
}
void TensorShapeProto::RegisterArenaDtor(::PROTOBUF_NAMESPACE_ID::Arena*) {
}
void TensorShapeProto::SetCachedSize(int size) const {
_cached_size_.Set(size);
}
void TensorShapeProto::Clear() {
// @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorShapeProto)
uint32_t cached_has_bits = 0;
// Prevent compiler warnings about cached_has_bits being unused
(void) cached_has_bits;
dim_.Clear();
unknown_rank_ = false;
_internal_metadata_.Clear<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>();
}
const char* TensorShapeProto::_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) {
// repeated .opencv_tensorflow.TensorShapeProto.Dim dim = 2;
case 2:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 18)) {
ptr -= 1;
do {
ptr += 1;
ptr = ctx->ParseMessage(_internal_add_dim(), ptr);
CHK_(ptr);
if (!ctx->DataAvailable(ptr)) break;
} while (::PROTOBUF_NAMESPACE_ID::internal::ExpectTag<18>(ptr));
} else
goto handle_unusual;
continue;
// bool unknown_rank = 3;
case 3:
if (PROTOBUF_PREDICT_TRUE(static_cast<uint8_t>(tag) == 24)) {
unknown_rank_ = ::PROTOBUF_NAMESPACE_ID::internal::ReadVarint64(&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* TensorShapeProto::_InternalSerialize(
uint8_t* target, ::PROTOBUF_NAMESPACE_ID::io::EpsCopyOutputStream* stream) const {
// @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorShapeProto)
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
// repeated .opencv_tensorflow.TensorShapeProto.Dim dim = 2;
for (unsigned int i = 0,
n = static_cast<unsigned int>(this->_internal_dim_size()); i < n; i++) {
target = stream->EnsureSpace(target);
target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::
InternalWriteMessage(2, this->_internal_dim(i), target, stream);
}
// bool unknown_rank = 3;
if (this->_internal_unknown_rank() != 0) {
target = stream->EnsureSpace(target);
target = ::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::WriteBoolToArray(3, this->_internal_unknown_rank(), 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.TensorShapeProto)
return target;
}
size_t TensorShapeProto::ByteSizeLong() const {
// @@protoc_insertion_point(message_byte_size_start:opencv_tensorflow.TensorShapeProto)
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 .opencv_tensorflow.TensorShapeProto.Dim dim = 2;
total_size += 1UL * this->_internal_dim_size();
for (const auto& msg : this->dim_) {
total_size +=
::PROTOBUF_NAMESPACE_ID::internal::WireFormatLite::MessageSize(msg);
}
// bool unknown_rank = 3;
if (this->_internal_unknown_rank() != 0) {
total_size += 1 + 1;
}
return MaybeComputeUnknownFieldsSize(total_size, &_cached_size_);
}
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData TensorShapeProto::_class_data_ = {
::PROTOBUF_NAMESPACE_ID::Message::CopyWithSizeCheck,
TensorShapeProto::MergeImpl
};
const ::PROTOBUF_NAMESPACE_ID::Message::ClassData*TensorShapeProto::GetClassData() const { return &_class_data_; }
void TensorShapeProto::MergeImpl(::PROTOBUF_NAMESPACE_ID::Message* to,
const ::PROTOBUF_NAMESPACE_ID::Message& from) {
static_cast<TensorShapeProto *>(to)->MergeFrom(
static_cast<const TensorShapeProto &>(from));
}
void TensorShapeProto::MergeFrom(const TensorShapeProto& from) {
// @@protoc_insertion_point(class_specific_merge_from_start:opencv_tensorflow.TensorShapeProto)
GOOGLE_DCHECK_NE(&from, this);
uint32_t cached_has_bits = 0;
(void) cached_has_bits;
dim_.MergeFrom(from.dim_);
if (from._internal_unknown_rank() != 0) {
_internal_set_unknown_rank(from._internal_unknown_rank());
}
_internal_metadata_.MergeFrom<::PROTOBUF_NAMESPACE_ID::UnknownFieldSet>(from._internal_metadata_);
}
void TensorShapeProto::CopyFrom(const TensorShapeProto& from) {
// @@protoc_insertion_point(class_specific_copy_from_start:opencv_tensorflow.TensorShapeProto)
if (&from == this) return;
Clear();
MergeFrom(from);
}
bool TensorShapeProto::IsInitialized() const {
return true;
}
void TensorShapeProto::InternalSwap(TensorShapeProto* other) {
using std::swap;
_internal_metadata_.InternalSwap(&other->_internal_metadata_);
dim_.InternalSwap(&other->dim_);
swap(unknown_rank_, other->unknown_rank_);
}
::PROTOBUF_NAMESPACE_ID::Metadata TensorShapeProto::GetMetadata() const {
return ::PROTOBUF_NAMESPACE_ID::internal::AssignDescriptors(
&descriptor_table_tensor_5fshape_2eproto_getter, &descriptor_table_tensor_5fshape_2eproto_once,
file_level_metadata_tensor_5fshape_2eproto[1]);
}
// @@protoc_insertion_point(namespace_scope)
} // namespace opencv_tensorflow
PROTOBUF_NAMESPACE_OPEN
template<> PROTOBUF_NOINLINE ::opencv_tensorflow::TensorShapeProto_Dim* Arena::CreateMaybeMessage< ::opencv_tensorflow::TensorShapeProto_Dim >(Arena* arena) {
return Arena::CreateMessageInternal< ::opencv_tensorflow::TensorShapeProto_Dim >(arena);
}
template<> PROTOBUF_NOINLINE ::opencv_tensorflow::TensorShapeProto* Arena::CreateMaybeMessage< ::opencv_tensorflow::TensorShapeProto >(Arena* arena) {
return Arena::CreateMessageInternal< ::opencv_tensorflow::TensorShapeProto >(arena);
}
PROTOBUF_NAMESPACE_CLOSE
// @@protoc_insertion_point(global_scope)
#include <google/protobuf/port_undef.inc>