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// Generated by the protocol buffer compiler. DO NOT EDIT!
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// source: tensor_shape.proto
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#include "tensor_shape.pb.h"
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#include <algorithm>
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#include <google/protobuf/stubs/common.h>
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#include <google/protobuf/stubs/port.h>
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#include <google/protobuf/stubs/once.h>
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#include <google/protobuf/io/coded_stream.h>
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#include <google/protobuf/wire_format_lite_inl.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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// This is a temporary google only hack
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#ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
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#include "third_party/protobuf/version.h"
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#endif
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// @@protoc_insertion_point(includes)
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namespace opencv_tensorflow {
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class TensorShapeProto_DimDefaultTypeInternal {
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public:
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::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto_Dim>
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_instance;
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} _TensorShapeProto_Dim_default_instance_;
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class TensorShapeProtoDefaultTypeInternal {
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public:
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::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto>
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_instance;
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} _TensorShapeProto_default_instance_;
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} // namespace opencv_tensorflow
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namespace protobuf_tensor_5fshape_2eproto {
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void InitDefaultsTensorShapeProto_DimImpl() {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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#ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
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::google::protobuf::internal::InitProtobufDefaultsForceUnique();
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#else
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::google::protobuf::internal::InitProtobufDefaults();
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#endif // GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
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{
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void* ptr = &::opencv_tensorflow::_TensorShapeProto_Dim_default_instance_;
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new (ptr) ::opencv_tensorflow::TensorShapeProto_Dim();
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::google::protobuf::internal::OnShutdownDestroyMessage(ptr);
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}
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::opencv_tensorflow::TensorShapeProto_Dim::InitAsDefaultInstance();
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}
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void InitDefaultsTensorShapeProto_Dim() {
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static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
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::google::protobuf::GoogleOnceInit(&once, &InitDefaultsTensorShapeProto_DimImpl);
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}
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void InitDefaultsTensorShapeProtoImpl() {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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#ifdef GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
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::google::protobuf::internal::InitProtobufDefaultsForceUnique();
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#else
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::google::protobuf::internal::InitProtobufDefaults();
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#endif // GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
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protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto_Dim();
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{
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void* ptr = &::opencv_tensorflow::_TensorShapeProto_default_instance_;
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new (ptr) ::opencv_tensorflow::TensorShapeProto();
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::google::protobuf::internal::OnShutdownDestroyMessage(ptr);
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}
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::opencv_tensorflow::TensorShapeProto::InitAsDefaultInstance();
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}
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void InitDefaultsTensorShapeProto() {
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static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
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::google::protobuf::GoogleOnceInit(&once, &InitDefaultsTensorShapeProtoImpl);
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}
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::google::protobuf::Metadata file_level_metadata[2];
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const ::google::protobuf::uint32 TableStruct::offsets[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
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~0u, // no _has_bits_
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto_Dim, _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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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto_Dim, size_),
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto_Dim, name_),
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~0u, // no _has_bits_
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto, _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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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto, dim_),
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::opencv_tensorflow::TensorShapeProto, unknown_rank_),
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};
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static const ::google::protobuf::internal::MigrationSchema schemas[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
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{ 0, -1, sizeof(::opencv_tensorflow::TensorShapeProto_Dim)},
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{ 7, -1, sizeof(::opencv_tensorflow::TensorShapeProto)},
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};
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static ::google::protobuf::Message const * const file_default_instances[] = {
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reinterpret_cast<const ::google::protobuf::Message*>(&::opencv_tensorflow::_TensorShapeProto_Dim_default_instance_),
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reinterpret_cast<const ::google::protobuf::Message*>(&::opencv_tensorflow::_TensorShapeProto_default_instance_),
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};
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void protobuf_AssignDescriptors() {
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AddDescriptors();
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::google::protobuf::MessageFactory* factory = NULL;
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AssignDescriptors(
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|
"tensor_shape.proto", schemas, file_default_instances, TableStruct::offsets, factory,
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|
file_level_metadata, NULL, NULL);
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}
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void protobuf_AssignDescriptorsOnce() {
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static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
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::google::protobuf::GoogleOnceInit(&once, &protobuf_AssignDescriptors);
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}
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void protobuf_RegisterTypes(const ::std::string&) GOOGLE_PROTOBUF_ATTRIBUTE_COLD;
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void protobuf_RegisterTypes(const ::std::string&) {
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protobuf_AssignDescriptorsOnce();
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::google::protobuf::internal::RegisterAllTypes(file_level_metadata, 2);
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|
}
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void AddDescriptorsImpl() {
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|
InitDefaults();
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|
static const char descriptor[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
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"\n\022tensor_shape.proto\022\021opencv_tensorflow\""
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"\201\001\n\020TensorShapeProto\0224\n\003dim\030\002 \003(\0132\'.open"
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|
"cv_tensorflow.TensorShapeProto.Dim\022\024\n\014un"
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"known_rank\030\003 \001(\010\032!\n\003Dim\022\014\n\004size\030\001 \001(\003\022\014\n"
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|
"\004name\030\002 \001(\tB2\n\030org.tensorflow.frameworkB"
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|
|
"\021TensorShapeProtosP\001\370\001\001b\006proto3"
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|
|
};
|
|
|
|
::google::protobuf::DescriptorPool::InternalAddGeneratedFile(
|
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|
|
descriptor, 231);
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|
|
::google::protobuf::MessageFactory::InternalRegisterGeneratedFile(
|
|
|
|
"tensor_shape.proto", &protobuf_RegisterTypes);
|
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|
|
}
|
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|
|
|
|
|
|
void AddDescriptors() {
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|
|
static GOOGLE_PROTOBUF_DECLARE_ONCE(once);
|
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|
|
::google::protobuf::GoogleOnceInit(&once, &AddDescriptorsImpl);
|
|
|
|
}
|
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|
|
// Force AddDescriptors() to be called at dynamic initialization time.
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|
struct StaticDescriptorInitializer {
|
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|
|
StaticDescriptorInitializer() {
|
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|
|
AddDescriptors();
|
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|
|
}
|
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|
|
} static_descriptor_initializer;
|
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|
|
} // namespace protobuf_tensor_5fshape_2eproto
|
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|
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namespace opencv_tensorflow {
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// ===================================================================
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|
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void TensorShapeProto_Dim::InitAsDefaultInstance() {
|
|
|
|
}
|
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|
|
#if !defined(_MSC_VER) || _MSC_VER >= 1900
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const int TensorShapeProto_Dim::kSizeFieldNumber;
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|
|
const int TensorShapeProto_Dim::kNameFieldNumber;
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|
#endif // !defined(_MSC_VER) || _MSC_VER >= 1900
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TensorShapeProto_Dim::TensorShapeProto_Dim()
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: ::google::protobuf::Message(), _internal_metadata_(NULL) {
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|
if (GOOGLE_PREDICT_TRUE(this != internal_default_instance())) {
|
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|
|
::protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto_Dim();
|
|
|
|
}
|
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|
SharedCtor();
|
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|
|
// @@protoc_insertion_point(constructor:opencv_tensorflow.TensorShapeProto.Dim)
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|
|
}
|
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|
TensorShapeProto_Dim::TensorShapeProto_Dim(::google::protobuf::Arena* arena)
|
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|
|
: ::google::protobuf::Message(),
|
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|
|
_internal_metadata_(arena) {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto_Dim();
|
|
|
|
SharedCtor();
|
|
|
|
RegisterArenaDtor(arena);
|
|
|
|
// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorShapeProto.Dim)
|
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|
|
}
|
|
|
|
TensorShapeProto_Dim::TensorShapeProto_Dim(const TensorShapeProto_Dim& from)
|
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|
|
: ::google::protobuf::Message(),
|
|
|
|
_internal_metadata_(NULL),
|
|
|
|
_cached_size_(0) {
|
|
|
|
_internal_metadata_.MergeFrom(from._internal_metadata_);
|
|
|
|
name_.UnsafeSetDefault(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
|
|
|
|
if (from.name().size() > 0) {
|
|
|
|
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), from.name(),
|
|
|
|
GetArenaNoVirtual());
|
|
|
|
}
|
|
|
|
size_ = from.size_;
|
|
|
|
// @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto_Dim::SharedCtor() {
|
|
|
|
name_.UnsafeSetDefault(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
|
|
|
|
size_ = GOOGLE_LONGLONG(0);
|
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|
|
_cached_size_ = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
TensorShapeProto_Dim::~TensorShapeProto_Dim() {
|
|
|
|
// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
SharedDtor();
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto_Dim::SharedDtor() {
|
|
|
|
GOOGLE_DCHECK(GetArenaNoVirtual() == NULL);
|
|
|
|
name_.DestroyNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto_Dim::ArenaDtor(void* object) {
|
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|
|
TensorShapeProto_Dim* _this = reinterpret_cast< TensorShapeProto_Dim* >(object);
|
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|
|
(void)_this;
|
|
|
|
}
|
|
|
|
void TensorShapeProto_Dim::RegisterArenaDtor(::google::protobuf::Arena* arena) {
|
|
|
|
}
|
|
|
|
void TensorShapeProto_Dim::SetCachedSize(int size) const {
|
|
|
|
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
|
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|
|
_cached_size_ = size;
|
|
|
|
GOOGLE_SAFE_CONCURRENT_WRITES_END();
|
|
|
|
}
|
|
|
|
const ::google::protobuf::Descriptor* TensorShapeProto_Dim::descriptor() {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::protobuf_AssignDescriptorsOnce();
|
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|
|
return ::protobuf_tensor_5fshape_2eproto::file_level_metadata[kIndexInFileMessages].descriptor;
|
|
|
|
}
|
|
|
|
|
|
|
|
const TensorShapeProto_Dim& TensorShapeProto_Dim::default_instance() {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto_Dim();
|
|
|
|
return *internal_default_instance();
|
|
|
|
}
|
|
|
|
|
|
|
|
TensorShapeProto_Dim* TensorShapeProto_Dim::New(::google::protobuf::Arena* arena) const {
|
|
|
|
return ::google::protobuf::Arena::CreateMessage<TensorShapeProto_Dim>(arena);
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto_Dim::Clear() {
|
|
|
|
// @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
::google::protobuf::uint32 cached_has_bits = 0;
|
|
|
|
// Prevent compiler warnings about cached_has_bits being unused
|
|
|
|
(void) cached_has_bits;
|
|
|
|
|
|
|
|
name_.ClearToEmpty(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
|
|
|
|
size_ = GOOGLE_LONGLONG(0);
|
|
|
|
_internal_metadata_.Clear();
|
|
|
|
}
|
|
|
|
|
|
|
|
bool TensorShapeProto_Dim::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.TensorShapeProto.Dim)
|
|
|
|
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)) {
|
|
|
|
// int64 size = 1;
|
|
|
|
case 1: {
|
|
|
|
if (static_cast< ::google::protobuf::uint8>(tag) ==
|
|
|
|
static_cast< ::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
|
|
|
|
|
|
|
|
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
|
|
|
|
::google::protobuf::int64, ::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
|
|
|
|
input, &size_)));
|
|
|
|
} else {
|
|
|
|
goto handle_unusual;
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
// string name = 2;
|
|
|
|
case 2: {
|
|
|
|
if (static_cast< ::google::protobuf::uint8>(tag) ==
|
|
|
|
static_cast< ::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
|
|
|
|
DO_(::google::protobuf::internal::WireFormatLite::ReadString(
|
|
|
|
input, this->mutable_name()));
|
|
|
|
DO_(::google::protobuf::internal::WireFormatLite::VerifyUtf8String(
|
|
|
|
this->name().data(), static_cast<int>(this->name().length()),
|
|
|
|
::google::protobuf::internal::WireFormatLite::PARSE,
|
|
|
|
"opencv_tensorflow.TensorShapeProto.Dim.name"));
|
|
|
|
} 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.TensorShapeProto.Dim)
|
|
|
|
return true;
|
|
|
|
failure:
|
|
|
|
// @@protoc_insertion_point(parse_failure:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
return false;
|
|
|
|
#undef DO_
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto_Dim::SerializeWithCachedSizes(
|
|
|
|
::google::protobuf::io::CodedOutputStream* output) const {
|
|
|
|
// @@protoc_insertion_point(serialize_start:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
::google::protobuf::uint32 cached_has_bits = 0;
|
|
|
|
(void) cached_has_bits;
|
|
|
|
|
|
|
|
// int64 size = 1;
|
|
|
|
if (this->size() != 0) {
|
|
|
|
::google::protobuf::internal::WireFormatLite::WriteInt64(1, this->size(), output);
|
|
|
|
}
|
|
|
|
|
|
|
|
// string name = 2;
|
|
|
|
if (this->name().size() > 0) {
|
|
|
|
::google::protobuf::internal::WireFormatLite::VerifyUtf8String(
|
|
|
|
this->name().data(), static_cast<int>(this->name().length()),
|
|
|
|
::google::protobuf::internal::WireFormatLite::SERIALIZE,
|
|
|
|
"opencv_tensorflow.TensorShapeProto.Dim.name");
|
|
|
|
::google::protobuf::internal::WireFormatLite::WriteStringMaybeAliased(
|
|
|
|
2, this->name(), 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.TensorShapeProto.Dim)
|
|
|
|
}
|
|
|
|
|
|
|
|
::google::protobuf::uint8* TensorShapeProto_Dim::InternalSerializeWithCachedSizesToArray(
|
|
|
|
bool deterministic, ::google::protobuf::uint8* target) const {
|
|
|
|
(void)deterministic; // Unused
|
|
|
|
// @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
::google::protobuf::uint32 cached_has_bits = 0;
|
|
|
|
(void) cached_has_bits;
|
|
|
|
|
|
|
|
// int64 size = 1;
|
|
|
|
if (this->size() != 0) {
|
|
|
|
target = ::google::protobuf::internal::WireFormatLite::WriteInt64ToArray(1, this->size(), target);
|
|
|
|
}
|
|
|
|
|
|
|
|
// string name = 2;
|
|
|
|
if (this->name().size() > 0) {
|
|
|
|
::google::protobuf::internal::WireFormatLite::VerifyUtf8String(
|
|
|
|
this->name().data(), static_cast<int>(this->name().length()),
|
|
|
|
::google::protobuf::internal::WireFormatLite::SERIALIZE,
|
|
|
|
"opencv_tensorflow.TensorShapeProto.Dim.name");
|
|
|
|
target =
|
|
|
|
::google::protobuf::internal::WireFormatLite::WriteStringToArray(
|
|
|
|
2, this->name(), 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.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;
|
|
|
|
|
|
|
|
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()));
|
|
|
|
}
|
|
|
|
// string name = 2;
|
|
|
|
if (this->name().size() > 0) {
|
|
|
|
total_size += 1 +
|
|
|
|
::google::protobuf::internal::WireFormatLite::StringSize(
|
|
|
|
this->name());
|
|
|
|
}
|
|
|
|
|
|
|
|
// int64 size = 1;
|
|
|
|
if (this->size() != 0) {
|
|
|
|
total_size += 1 +
|
|
|
|
::google::protobuf::internal::WireFormatLite::Int64Size(
|
|
|
|
this->size());
|
|
|
|
}
|
|
|
|
|
|
|
|
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 TensorShapeProto_Dim::MergeFrom(const ::google::protobuf::Message& from) {
|
|
|
|
// @@protoc_insertion_point(generalized_merge_from_start:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
GOOGLE_DCHECK_NE(&from, this);
|
|
|
|
const TensorShapeProto_Dim* source =
|
|
|
|
::google::protobuf::internal::DynamicCastToGenerated<const TensorShapeProto_Dim>(
|
|
|
|
&from);
|
|
|
|
if (source == NULL) {
|
|
|
|
// @@protoc_insertion_point(generalized_merge_from_cast_fail:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
::google::protobuf::internal::ReflectionOps::Merge(from, this);
|
|
|
|
} else {
|
|
|
|
// @@protoc_insertion_point(generalized_merge_from_cast_success:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
MergeFrom(*source);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
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);
|
|
|
|
_internal_metadata_.MergeFrom(from._internal_metadata_);
|
|
|
|
::google::protobuf::uint32 cached_has_bits = 0;
|
|
|
|
(void) cached_has_bits;
|
|
|
|
|
|
|
|
if (from.name().size() > 0) {
|
|
|
|
set_name(from.name());
|
|
|
|
}
|
|
|
|
if (from.size() != 0) {
|
|
|
|
set_size(from.size());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto_Dim::CopyFrom(const ::google::protobuf::Message& from) {
|
|
|
|
// @@protoc_insertion_point(generalized_copy_from_start:opencv_tensorflow.TensorShapeProto.Dim)
|
|
|
|
if (&from == this) return;
|
|
|
|
Clear();
|
|
|
|
MergeFrom(from);
|
|
|
|
}
|
|
|
|
|
|
|
|
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::Swap(TensorShapeProto_Dim* other) {
|
|
|
|
if (other == this) return;
|
|
|
|
if (GetArenaNoVirtual() == other->GetArenaNoVirtual()) {
|
|
|
|
InternalSwap(other);
|
|
|
|
} else {
|
|
|
|
TensorShapeProto_Dim* temp = New(GetArenaNoVirtual());
|
|
|
|
temp->MergeFrom(*other);
|
|
|
|
other->CopyFrom(*this);
|
|
|
|
InternalSwap(temp);
|
|
|
|
if (GetArenaNoVirtual() == NULL) {
|
|
|
|
delete temp;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
void TensorShapeProto_Dim::UnsafeArenaSwap(TensorShapeProto_Dim* other) {
|
|
|
|
if (other == this) return;
|
|
|
|
GOOGLE_DCHECK(GetArenaNoVirtual() == other->GetArenaNoVirtual());
|
|
|
|
InternalSwap(other);
|
|
|
|
}
|
|
|
|
void TensorShapeProto_Dim::InternalSwap(TensorShapeProto_Dim* other) {
|
|
|
|
using std::swap;
|
|
|
|
name_.Swap(&other->name_);
|
|
|
|
swap(size_, other->size_);
|
|
|
|
_internal_metadata_.Swap(&other->_internal_metadata_);
|
|
|
|
swap(_cached_size_, other->_cached_size_);
|
|
|
|
}
|
|
|
|
|
|
|
|
::google::protobuf::Metadata TensorShapeProto_Dim::GetMetadata() const {
|
|
|
|
protobuf_tensor_5fshape_2eproto::protobuf_AssignDescriptorsOnce();
|
|
|
|
return ::protobuf_tensor_5fshape_2eproto::file_level_metadata[kIndexInFileMessages];
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// ===================================================================
|
|
|
|
|
|
|
|
void TensorShapeProto::InitAsDefaultInstance() {
|
|
|
|
}
|
|
|
|
#if !defined(_MSC_VER) || _MSC_VER >= 1900
|
|
|
|
const int TensorShapeProto::kDimFieldNumber;
|
|
|
|
const int TensorShapeProto::kUnknownRankFieldNumber;
|
|
|
|
#endif // !defined(_MSC_VER) || _MSC_VER >= 1900
|
|
|
|
|
|
|
|
TensorShapeProto::TensorShapeProto()
|
|
|
|
: ::google::protobuf::Message(), _internal_metadata_(NULL) {
|
|
|
|
if (GOOGLE_PREDICT_TRUE(this != internal_default_instance())) {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto();
|
|
|
|
}
|
|
|
|
SharedCtor();
|
|
|
|
// @@protoc_insertion_point(constructor:opencv_tensorflow.TensorShapeProto)
|
|
|
|
}
|
|
|
|
TensorShapeProto::TensorShapeProto(::google::protobuf::Arena* arena)
|
|
|
|
: ::google::protobuf::Message(),
|
|
|
|
_internal_metadata_(arena),
|
|
|
|
dim_(arena) {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto();
|
|
|
|
SharedCtor();
|
|
|
|
RegisterArenaDtor(arena);
|
|
|
|
// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorShapeProto)
|
|
|
|
}
|
|
|
|
TensorShapeProto::TensorShapeProto(const TensorShapeProto& from)
|
|
|
|
: ::google::protobuf::Message(),
|
|
|
|
_internal_metadata_(NULL),
|
|
|
|
dim_(from.dim_),
|
|
|
|
_cached_size_(0) {
|
|
|
|
_internal_metadata_.MergeFrom(from._internal_metadata_);
|
|
|
|
unknown_rank_ = from.unknown_rank_;
|
|
|
|
// @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorShapeProto)
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::SharedCtor() {
|
|
|
|
unknown_rank_ = false;
|
|
|
|
_cached_size_ = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
TensorShapeProto::~TensorShapeProto() {
|
|
|
|
// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorShapeProto)
|
|
|
|
SharedDtor();
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::SharedDtor() {
|
|
|
|
GOOGLE_DCHECK(GetArenaNoVirtual() == NULL);
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::ArenaDtor(void* object) {
|
|
|
|
TensorShapeProto* _this = reinterpret_cast< TensorShapeProto* >(object);
|
|
|
|
(void)_this;
|
|
|
|
}
|
|
|
|
void TensorShapeProto::RegisterArenaDtor(::google::protobuf::Arena* arena) {
|
|
|
|
}
|
|
|
|
void TensorShapeProto::SetCachedSize(int size) const {
|
|
|
|
GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
|
|
|
|
_cached_size_ = size;
|
|
|
|
GOOGLE_SAFE_CONCURRENT_WRITES_END();
|
|
|
|
}
|
|
|
|
const ::google::protobuf::Descriptor* TensorShapeProto::descriptor() {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::protobuf_AssignDescriptorsOnce();
|
|
|
|
return ::protobuf_tensor_5fshape_2eproto::file_level_metadata[kIndexInFileMessages].descriptor;
|
|
|
|
}
|
|
|
|
|
|
|
|
const TensorShapeProto& TensorShapeProto::default_instance() {
|
|
|
|
::protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto();
|
|
|
|
return *internal_default_instance();
|
|
|
|
}
|
|
|
|
|
|
|
|
TensorShapeProto* TensorShapeProto::New(::google::protobuf::Arena* arena) const {
|
|
|
|
return ::google::protobuf::Arena::CreateMessage<TensorShapeProto>(arena);
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::Clear() {
|
|
|
|
// @@protoc_insertion_point(message_clear_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
::google::protobuf::uint32 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();
|
|
|
|
}
|
|
|
|
|
|
|
|
bool TensorShapeProto::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.TensorShapeProto)
|
|
|
|
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)) {
|
|
|
|
// repeated .opencv_tensorflow.TensorShapeProto.Dim dim = 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, add_dim()));
|
|
|
|
} else {
|
|
|
|
goto handle_unusual;
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
// bool unknown_rank = 3;
|
|
|
|
case 3: {
|
|
|
|
if (static_cast< ::google::protobuf::uint8>(tag) ==
|
|
|
|
static_cast< ::google::protobuf::uint8>(24u /* 24 & 0xFF */)) {
|
|
|
|
|
|
|
|
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
|
|
|
|
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
|
|
|
|
input, &unknown_rank_)));
|
|
|
|
} 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.TensorShapeProto)
|
|
|
|
return true;
|
|
|
|
failure:
|
|
|
|
// @@protoc_insertion_point(parse_failure:opencv_tensorflow.TensorShapeProto)
|
|
|
|
return false;
|
|
|
|
#undef DO_
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::SerializeWithCachedSizes(
|
|
|
|
::google::protobuf::io::CodedOutputStream* output) const {
|
|
|
|
// @@protoc_insertion_point(serialize_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
::google::protobuf::uint32 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->dim_size()); i < n; i++) {
|
|
|
|
::google::protobuf::internal::WireFormatLite::WriteMessageMaybeToArray(
|
|
|
|
2, this->dim(static_cast<int>(i)), output);
|
|
|
|
}
|
|
|
|
|
|
|
|
// bool unknown_rank = 3;
|
|
|
|
if (this->unknown_rank() != 0) {
|
|
|
|
::google::protobuf::internal::WireFormatLite::WriteBool(3, this->unknown_rank(), 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.TensorShapeProto)
|
|
|
|
}
|
|
|
|
|
|
|
|
::google::protobuf::uint8* TensorShapeProto::InternalSerializeWithCachedSizesToArray(
|
|
|
|
bool deterministic, ::google::protobuf::uint8* target) const {
|
|
|
|
(void)deterministic; // Unused
|
|
|
|
// @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
::google::protobuf::uint32 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->dim_size()); i < n; i++) {
|
|
|
|
target = ::google::protobuf::internal::WireFormatLite::
|
|
|
|
InternalWriteMessageToArray(
|
|
|
|
2, this->dim(static_cast<int>(i)), deterministic, target);
|
|
|
|
}
|
|
|
|
|
|
|
|
// bool unknown_rank = 3;
|
|
|
|
if (this->unknown_rank() != 0) {
|
|
|
|
target = ::google::protobuf::internal::WireFormatLite::WriteBoolToArray(3, this->unknown_rank(), 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.TensorShapeProto)
|
|
|
|
return target;
|
|
|
|
}
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|
|
|
|
|
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|
size_t TensorShapeProto::ByteSizeLong() const {
|
|
|
|
// @@protoc_insertion_point(message_byte_size_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
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 .opencv_tensorflow.TensorShapeProto.Dim dim = 2;
|
|
|
|
{
|
|
|
|
unsigned int count = static_cast<unsigned int>(this->dim_size());
|
|
|
|
total_size += 1UL * count;
|
|
|
|
for (unsigned int i = 0; i < count; i++) {
|
|
|
|
total_size +=
|
|
|
|
::google::protobuf::internal::WireFormatLite::MessageSize(
|
|
|
|
this->dim(static_cast<int>(i)));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// bool unknown_rank = 3;
|
|
|
|
if (this->unknown_rank() != 0) {
|
|
|
|
total_size += 1 + 1;
|
|
|
|
}
|
|
|
|
|
|
|
|
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 TensorShapeProto::MergeFrom(const ::google::protobuf::Message& from) {
|
|
|
|
// @@protoc_insertion_point(generalized_merge_from_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
GOOGLE_DCHECK_NE(&from, this);
|
|
|
|
const TensorShapeProto* source =
|
|
|
|
::google::protobuf::internal::DynamicCastToGenerated<const TensorShapeProto>(
|
|
|
|
&from);
|
|
|
|
if (source == NULL) {
|
|
|
|
// @@protoc_insertion_point(generalized_merge_from_cast_fail:opencv_tensorflow.TensorShapeProto)
|
|
|
|
::google::protobuf::internal::ReflectionOps::Merge(from, this);
|
|
|
|
} else {
|
|
|
|
// @@protoc_insertion_point(generalized_merge_from_cast_success:opencv_tensorflow.TensorShapeProto)
|
|
|
|
MergeFrom(*source);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::MergeFrom(const TensorShapeProto& from) {
|
|
|
|
// @@protoc_insertion_point(class_specific_merge_from_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
GOOGLE_DCHECK_NE(&from, this);
|
|
|
|
_internal_metadata_.MergeFrom(from._internal_metadata_);
|
|
|
|
::google::protobuf::uint32 cached_has_bits = 0;
|
|
|
|
(void) cached_has_bits;
|
|
|
|
|
|
|
|
dim_.MergeFrom(from.dim_);
|
|
|
|
if (from.unknown_rank() != 0) {
|
|
|
|
set_unknown_rank(from.unknown_rank());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void TensorShapeProto::CopyFrom(const ::google::protobuf::Message& from) {
|
|
|
|
// @@protoc_insertion_point(generalized_copy_from_start:opencv_tensorflow.TensorShapeProto)
|
|
|
|
if (&from == this) return;
|
|
|
|
Clear();
|
|
|
|
MergeFrom(from);
|
|
|
|
}
|
|
|
|
|
|
|
|
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::Swap(TensorShapeProto* other) {
|
|
|
|
if (other == this) return;
|
|
|
|
if (GetArenaNoVirtual() == other->GetArenaNoVirtual()) {
|
|
|
|
InternalSwap(other);
|
|
|
|
} else {
|
|
|
|
TensorShapeProto* temp = New(GetArenaNoVirtual());
|
|
|
|
temp->MergeFrom(*other);
|
|
|
|
other->CopyFrom(*this);
|
|
|
|
InternalSwap(temp);
|
|
|
|
if (GetArenaNoVirtual() == NULL) {
|
|
|
|
delete temp;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
void TensorShapeProto::UnsafeArenaSwap(TensorShapeProto* other) {
|
|
|
|
if (other == this) return;
|
|
|
|
GOOGLE_DCHECK(GetArenaNoVirtual() == other->GetArenaNoVirtual());
|
|
|
|
InternalSwap(other);
|
|
|
|
}
|
|
|
|
void TensorShapeProto::InternalSwap(TensorShapeProto* other) {
|
|
|
|
using std::swap;
|
|
|
|
dim_.InternalSwap(&other->dim_);
|
|
|
|
swap(unknown_rank_, other->unknown_rank_);
|
|
|
|
_internal_metadata_.Swap(&other->_internal_metadata_);
|
|
|
|
swap(_cached_size_, other->_cached_size_);
|
|
|
|
}
|
|
|
|
|
|
|
|
::google::protobuf::Metadata TensorShapeProto::GetMetadata() const {
|
|
|
|
protobuf_tensor_5fshape_2eproto::protobuf_AssignDescriptorsOnce();
|
|
|
|
return ::protobuf_tensor_5fshape_2eproto::file_level_metadata[kIndexInFileMessages];
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// @@protoc_insertion_point(namespace_scope)
|
|
|
|
} // namespace opencv_tensorflow
|
|
|
|
|
|
|
|
// @@protoc_insertion_point(global_scope)
|