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dnn(tensorflow): re-generate files using protoc

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This commit is contained in:
Alexander Alekhin
2018-09-12 21:33:45 +03:00
parent cb5da8983f
commit b7b82c1cef
16 changed files with 2055 additions and 2048 deletions
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modules/dnn/misc/tensorflow/tensor.pb.cc
+72 -71
View File
@@ -19,13 +19,13 @@
#include "third_party/protobuf/version.h"
#endif
// @@protoc_insertion_point(includes)
namespace tensorflow {
namespace opencv_tensorflow {
class TensorProtoDefaultTypeInternal {
public:
::google::protobuf::internal::ExplicitlyConstructed<TensorProto>
_instance;
} _TensorProto_default_instance_;
} // namespace tensorflow
} // namespace opencv_tensorflow
namespace protobuf_tensor_2eproto {
void InitDefaultsTensorProtoImpl() {
GOOGLE_PROTOBUF_VERIFY_VERSION;
@@ -37,11 +37,11 @@ void InitDefaultsTensorProtoImpl() {
#endif // GOOGLE_PROTOBUF_ENFORCE_UNIQUENESS
protobuf_tensor_5fshape_2eproto::InitDefaultsTensorShapeProto();
{
void* ptr = &::tensorflow::_TensorProto_default_instance_;
new (ptr) ::tensorflow::TensorProto();
void* ptr = &::opencv_tensorflow::_TensorProto_default_instance_;
new (ptr) ::opencv_tensorflow::TensorProto();
::google::protobuf::internal::OnShutdownDestroyMessage(ptr);
}
::tensorflow::TensorProto::InitAsDefaultInstance();
::opencv_tensorflow::TensorProto::InitAsDefaultInstance();
}
void InitDefaultsTensorProto() {
@@ -53,30 +53,30 @@ void InitDefaultsTensorProto() {
const ::google::protobuf::uint32 TableStruct::offsets[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
~0u, // no _has_bits_
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, _internal_metadata_),
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(::tensorflow::TensorProto, dtype_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, tensor_shape_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, version_number_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, tensor_content_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, half_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, float_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, double_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, int_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, string_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, scomplex_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, int64_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, bool_val_),
GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(::tensorflow::TensorProto, dcomplex_val_),
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(::tensorflow::TensorProto)},
{ 0, -1, sizeof(::opencv_tensorflow::TensorProto)},
};
static ::google::protobuf::Message const * const file_default_instances[] = {
reinterpret_cast<const ::google::protobuf::Message*>(&::tensorflow::_TensorProto_default_instance_),
reinterpret_cast<const ::google::protobuf::Message*>(&::opencv_tensorflow::_TensorProto_default_instance_),
};
void protobuf_AssignDescriptors() {
@@ -101,21 +101,22 @@ void protobuf_RegisterTypes(const ::std::string&) {
void AddDescriptorsImpl() {
InitDefaults();
static const char descriptor[] GOOGLE_PROTOBUF_ATTRIBUTE_SECTION_VARIABLE(protodesc_cold) = {
"\n\014tensor.proto\022\ntensorflow\032\022tensor_shape"
".proto\032\013types.proto\"\345\002\n\013TensorProto\022#\n\005d"
"type\030\001 \001(\0162\024.tensorflow.DataType\0222\n\014tens"
"or_shape\030\002 \001(\0132\034.tensorflow.TensorShapeP"
"roto\022\026\n\016version_number\030\003 \001(\005\022\026\n\016tensor_c"
"ontent\030\004 \001(\014\022\024\n\010half_val\030\r \003(\005B\002\020\001\022\025\n\tfl"
"oat_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_va"
"l\030\n \003(\003B\002\020\001\022\024\n\010bool_val\030\013 \003(\010B\002\020\001\022\030\n\014dco"
"mplex_val\030\014 \003(\001B\002\020\001B-\n\030org.tensorflow.fr"
"ameworkB\014TensorProtosP\001\370\001\001b\006proto3"
"\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, 474);
descriptor, 495);
::google::protobuf::MessageFactory::InternalRegisterGeneratedFile(
"tensor.proto", &protobuf_RegisterTypes);
::protobuf_tensor_5fshape_2eproto::AddDescriptors();
@@ -133,20 +134,20 @@ struct StaticDescriptorInitializer {
}
} static_descriptor_initializer;
} // namespace protobuf_tensor_2eproto
namespace tensorflow {
namespace opencv_tensorflow {
// ===================================================================
void TensorProto::InitAsDefaultInstance() {
::tensorflow::_TensorProto_default_instance_._instance.get_mutable()->tensor_shape_ = const_cast< ::tensorflow::TensorShapeProto*>(
::tensorflow::TensorShapeProto::internal_default_instance());
::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< ::tensorflow::TensorShapeProto >(
tensor_shape_ = ::google::protobuf::Arena::CreateMessage< ::opencv_tensorflow::TensorShapeProto >(
GetArenaNoVirtual());
}
void TensorProto::unsafe_arena_set_allocated_tensor_shape(
::tensorflow::TensorShapeProto* tensor_shape) {
::opencv_tensorflow::TensorShapeProto* tensor_shape) {
if (GetArenaNoVirtual() == NULL) {
delete tensor_shape_;
}
@@ -156,7 +157,7 @@ void TensorProto::unsafe_arena_set_allocated_tensor_shape(
} else {
}
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:tensorflow.TensorProto.tensor_shape)
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:opencv_tensorflow.TensorProto.tensor_shape)
}
void TensorProto::clear_tensor_shape() {
if (GetArenaNoVirtual() == NULL && tensor_shape_ != NULL) {
@@ -186,7 +187,7 @@ TensorProto::TensorProto()
::protobuf_tensor_2eproto::InitDefaultsTensorProto();
}
SharedCtor();
// @@protoc_insertion_point(constructor:tensorflow.TensorProto)
// @@protoc_insertion_point(constructor:opencv_tensorflow.TensorProto)
}
TensorProto::TensorProto(::google::protobuf::Arena* arena)
: ::google::protobuf::Message(),
@@ -203,7 +204,7 @@ TensorProto::TensorProto(::google::protobuf::Arena* arena)
::protobuf_tensor_2eproto::InitDefaultsTensorProto();
SharedCtor();
RegisterArenaDtor(arena);
// @@protoc_insertion_point(arena_constructor:tensorflow.TensorProto)
// @@protoc_insertion_point(arena_constructor:opencv_tensorflow.TensorProto)
}
TensorProto::TensorProto(const TensorProto& from)
: ::google::protobuf::Message(),
@@ -225,14 +226,14 @@ TensorProto::TensorProto(const TensorProto& from)
GetArenaNoVirtual());
}
if (from.has_tensor_shape()) {
tensor_shape_ = new ::tensorflow::TensorShapeProto(*from.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:tensorflow.TensorProto)
// @@protoc_insertion_point(copy_constructor:opencv_tensorflow.TensorProto)
}
void TensorProto::SharedCtor() {
@@ -244,7 +245,7 @@ void TensorProto::SharedCtor() {
}
TensorProto::~TensorProto() {
// @@protoc_insertion_point(destructor:tensorflow.TensorProto)
// @@protoc_insertion_point(destructor:opencv_tensorflow.TensorProto)
SharedDtor();
}
@@ -280,7 +281,7 @@ TensorProto* TensorProto::New(::google::protobuf::Arena* arena) const {
}
void TensorProto::Clear() {
// @@protoc_insertion_point(message_clear_start:tensorflow.TensorProto)
// @@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;
@@ -309,13 +310,13 @@ 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:tensorflow.TensorProto)
// @@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)) {
// .tensorflow.DataType dtype = 1;
// .opencv_tensorflow.DataType dtype = 1;
case 1: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
@@ -323,14 +324,14 @@ bool TensorProto::MergePartialFromCodedStream(
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
set_dtype(static_cast< ::tensorflow::DataType >(value));
set_dtype(static_cast< ::opencv_tensorflow::DataType >(value));
} else {
goto handle_unusual;
}
break;
}
// .tensorflow.TensorShapeProto tensor_shape = 2;
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
case 2: {
if (static_cast< ::google::protobuf::uint8>(tag) ==
static_cast< ::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
@@ -544,27 +545,27 @@ bool TensorProto::MergePartialFromCodedStream(
}
}
success:
// @@protoc_insertion_point(parse_success:tensorflow.TensorProto)
// @@protoc_insertion_point(parse_success:opencv_tensorflow.TensorProto)
return true;
failure:
// @@protoc_insertion_point(parse_failure:tensorflow.TensorProto)
// @@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:tensorflow.TensorProto)
// @@protoc_insertion_point(serialize_start:opencv_tensorflow.TensorProto)
::google::protobuf::uint32 cached_has_bits = 0;
(void) cached_has_bits;
// .tensorflow.DataType dtype = 1;
// .opencv_tensorflow.DataType dtype = 1;
if (this->dtype() != 0) {
::google::protobuf::internal::WireFormatLite::WriteEnum(
1, this->dtype(), output);
}
// .tensorflow.TensorShapeProto tensor_shape = 2;
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
if (this->has_tensor_shape()) {
::google::protobuf::internal::WireFormatLite::WriteMessageMaybeToArray(
2, *this->tensor_shape_, output);
@@ -669,23 +670,23 @@ void TensorProto::SerializeWithCachedSizes(
::google::protobuf::internal::WireFormat::SerializeUnknownFields(
(::google::protobuf::internal::GetProto3PreserveUnknownsDefault() ? _internal_metadata_.unknown_fields() : _internal_metadata_.default_instance()), output);
}
// @@protoc_insertion_point(serialize_end:tensorflow.TensorProto)
// @@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:tensorflow.TensorProto)
// @@protoc_insertion_point(serialize_to_array_start:opencv_tensorflow.TensorProto)
::google::protobuf::uint32 cached_has_bits = 0;
(void) cached_has_bits;
// .tensorflow.DataType dtype = 1;
// .opencv_tensorflow.DataType dtype = 1;
if (this->dtype() != 0) {
target = ::google::protobuf::internal::WireFormatLite::WriteEnumToArray(
1, this->dtype(), target);
}
// .tensorflow.TensorShapeProto tensor_shape = 2;
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
if (this->has_tensor_shape()) {
target = ::google::protobuf::internal::WireFormatLite::
InternalWriteMessageToArray(
@@ -818,12 +819,12 @@ void TensorProto::SerializeWithCachedSizes(
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:tensorflow.TensorProto)
// @@protoc_insertion_point(serialize_to_array_end:opencv_tensorflow.TensorProto)
return target;
}
size_t TensorProto::ByteSizeLong() const {
// @@protoc_insertion_point(message_byte_size_start:tensorflow.TensorProto)
// @@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())) {
@@ -974,14 +975,14 @@ size_t TensorProto::ByteSizeLong() const {
this->tensor_content());
}
// .tensorflow.TensorShapeProto tensor_shape = 2;
// .opencv_tensorflow.TensorShapeProto tensor_shape = 2;
if (this->has_tensor_shape()) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::MessageSize(
*this->tensor_shape_);
}
// .tensorflow.DataType dtype = 1;
// .opencv_tensorflow.DataType dtype = 1;
if (this->dtype() != 0) {
total_size += 1 +
::google::protobuf::internal::WireFormatLite::EnumSize(this->dtype());
@@ -1002,22 +1003,22 @@ size_t TensorProto::ByteSizeLong() const {
}
void TensorProto::MergeFrom(const ::google::protobuf::Message& from) {
// @@protoc_insertion_point(generalized_merge_from_start:tensorflow.TensorProto)
// @@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:tensorflow.TensorProto)
// @@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:tensorflow.TensorProto)
// @@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:tensorflow.TensorProto)
// @@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;
@@ -1036,7 +1037,7 @@ void TensorProto::MergeFrom(const TensorProto& from) {
set_tensor_content(from.tensor_content());
}
if (from.has_tensor_shape()) {
mutable_tensor_shape()->::tensorflow::TensorShapeProto::MergeFrom(from.tensor_shape());
mutable_tensor_shape()->::opencv_tensorflow::TensorShapeProto::MergeFrom(from.tensor_shape());
}
if (from.dtype() != 0) {
set_dtype(from.dtype());
@@ -1047,14 +1048,14 @@ void TensorProto::MergeFrom(const TensorProto& from) {
}
void TensorProto::CopyFrom(const ::google::protobuf::Message& from) {
// @@protoc_insertion_point(generalized_copy_from_start:tensorflow.TensorProto)
// @@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:tensorflow.TensorProto)
// @@protoc_insertion_point(class_specific_copy_from_start:opencv_tensorflow.TensorProto)
if (&from == this) return;
Clear();
MergeFrom(from);
@@ -1109,6 +1110,6 @@ void TensorProto::InternalSwap(TensorProto* other) {
// @@protoc_insertion_point(namespace_scope)
} // namespace tensorflow
} // namespace opencv_tensorflow
// @@protoc_insertion_point(global_scope)