mirror of
https://github.com/opencv/opencv.git
synced 2026-07-30 15:53:03 +04:00
dnn: move module from opencv_contrib
https://github.com/opencv/opencv_contrib/tree/e6f63c7a38ca40c5dc33e38736e3027e3528d6cb/modules/dnn
This commit is contained in:
@@ -0,0 +1,895 @@
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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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#define INTERNAL_SUPPRESS_PROTOBUF_FIELD_DEPRECATION
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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>
|
||||
#include <google/protobuf/stubs/once.h>
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#include <google/protobuf/io/coded_stream.h>
|
||||
#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>
|
||||
#include <google/protobuf/reflection_ops.h>
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#include <google/protobuf/wire_format.h>
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// @@protoc_insertion_point(includes)
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namespace tensorflow {
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namespace {
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const ::google::protobuf::Descriptor* TensorShapeProto_descriptor_ = NULL;
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const ::google::protobuf::internal::GeneratedMessageReflection*
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TensorShapeProto_reflection_ = NULL;
|
||||
const ::google::protobuf::Descriptor* TensorShapeProto_Dim_descriptor_ = NULL;
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||||
const ::google::protobuf::internal::GeneratedMessageReflection*
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TensorShapeProto_Dim_reflection_ = NULL;
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||||
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} // namespace
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void protobuf_AssignDesc_tensor_5fshape_2eproto() GOOGLE_ATTRIBUTE_COLD;
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void protobuf_AssignDesc_tensor_5fshape_2eproto() {
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protobuf_AddDesc_tensor_5fshape_2eproto();
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const ::google::protobuf::FileDescriptor* file =
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::google::protobuf::DescriptorPool::generated_pool()->FindFileByName(
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"tensor_shape.proto");
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GOOGLE_CHECK(file != NULL);
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TensorShapeProto_descriptor_ = file->message_type(0);
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static const int TensorShapeProto_offsets_[2] = {
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(TensorShapeProto, dim_),
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(TensorShapeProto, unknown_rank_),
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};
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TensorShapeProto_reflection_ =
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::google::protobuf::internal::GeneratedMessageReflection::NewGeneratedMessageReflection(
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TensorShapeProto_descriptor_,
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TensorShapeProto::internal_default_instance(),
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TensorShapeProto_offsets_,
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-1,
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-1,
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-1,
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sizeof(TensorShapeProto),
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(TensorShapeProto, _internal_metadata_));
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TensorShapeProto_Dim_descriptor_ = TensorShapeProto_descriptor_->nested_type(0);
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static const int TensorShapeProto_Dim_offsets_[2] = {
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(TensorShapeProto_Dim, size_),
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(TensorShapeProto_Dim, name_),
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};
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TensorShapeProto_Dim_reflection_ =
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::google::protobuf::internal::GeneratedMessageReflection::NewGeneratedMessageReflection(
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TensorShapeProto_Dim_descriptor_,
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TensorShapeProto_Dim::internal_default_instance(),
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TensorShapeProto_Dim_offsets_,
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-1,
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-1,
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-1,
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sizeof(TensorShapeProto_Dim),
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GOOGLE_PROTOBUF_GENERATED_MESSAGE_FIELD_OFFSET(TensorShapeProto_Dim, _internal_metadata_));
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}
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namespace {
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GOOGLE_PROTOBUF_DECLARE_ONCE(protobuf_AssignDescriptors_once_);
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void protobuf_AssignDescriptorsOnce() {
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::google::protobuf::GoogleOnceInit(&protobuf_AssignDescriptors_once_,
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&protobuf_AssignDesc_tensor_5fshape_2eproto);
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}
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void protobuf_RegisterTypes(const ::std::string&) GOOGLE_ATTRIBUTE_COLD;
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void protobuf_RegisterTypes(const ::std::string&) {
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protobuf_AssignDescriptorsOnce();
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||||
::google::protobuf::MessageFactory::InternalRegisterGeneratedMessage(
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TensorShapeProto_descriptor_, TensorShapeProto::internal_default_instance());
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::google::protobuf::MessageFactory::InternalRegisterGeneratedMessage(
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TensorShapeProto_Dim_descriptor_, TensorShapeProto_Dim::internal_default_instance());
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}
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} // namespace
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void protobuf_ShutdownFile_tensor_5fshape_2eproto() {
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TensorShapeProto_default_instance_.Shutdown();
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delete TensorShapeProto_reflection_;
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TensorShapeProto_Dim_default_instance_.Shutdown();
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delete TensorShapeProto_Dim_reflection_;
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}
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void protobuf_InitDefaults_tensor_5fshape_2eproto_impl() {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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TensorShapeProto_default_instance_.DefaultConstruct();
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::google::protobuf::internal::GetEmptyString();
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TensorShapeProto_Dim_default_instance_.DefaultConstruct();
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TensorShapeProto_default_instance_.get_mutable()->InitAsDefaultInstance();
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TensorShapeProto_Dim_default_instance_.get_mutable()->InitAsDefaultInstance();
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}
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GOOGLE_PROTOBUF_DECLARE_ONCE(protobuf_InitDefaults_tensor_5fshape_2eproto_once_);
|
||||
void protobuf_InitDefaults_tensor_5fshape_2eproto() {
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::google::protobuf::GoogleOnceInit(&protobuf_InitDefaults_tensor_5fshape_2eproto_once_,
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&protobuf_InitDefaults_tensor_5fshape_2eproto_impl);
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}
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void protobuf_AddDesc_tensor_5fshape_2eproto_impl() {
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GOOGLE_PROTOBUF_VERIFY_VERSION;
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protobuf_InitDefaults_tensor_5fshape_2eproto();
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::google::protobuf::DescriptorPool::InternalAddGeneratedFile(
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"\n\022tensor_shape.proto\022\ntensorflow\"z\n\020Tens"
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"orShapeProto\022-\n\003dim\030\002 \003(\0132 .tensorflow.T"
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"ensorShapeProto.Dim\022\024\n\014unknown_rank\030\003 \001("
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"\010\032!\n\003Dim\022\014\n\004size\030\001 \001(\003\022\014\n\004name\030\002 \001(\tB2\n\030"
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"org.tensorflow.frameworkB\021TensorShapePro"
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||||
"tosP\001\370\001\001b\006proto3", 216);
|
||||
::google::protobuf::MessageFactory::InternalRegisterGeneratedFile(
|
||||
"tensor_shape.proto", &protobuf_RegisterTypes);
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||||
::google::protobuf::internal::OnShutdown(&protobuf_ShutdownFile_tensor_5fshape_2eproto);
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||||
}
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||||
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GOOGLE_PROTOBUF_DECLARE_ONCE(protobuf_AddDesc_tensor_5fshape_2eproto_once_);
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||||
void protobuf_AddDesc_tensor_5fshape_2eproto() {
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||||
::google::protobuf::GoogleOnceInit(&protobuf_AddDesc_tensor_5fshape_2eproto_once_,
|
||||
&protobuf_AddDesc_tensor_5fshape_2eproto_impl);
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||||
}
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||||
// Force AddDescriptors() to be called at static initialization time.
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struct StaticDescriptorInitializer_tensor_5fshape_2eproto {
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StaticDescriptorInitializer_tensor_5fshape_2eproto() {
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protobuf_AddDesc_tensor_5fshape_2eproto();
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}
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||||
} static_descriptor_initializer_tensor_5fshape_2eproto_;
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namespace {
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||||
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||||
static void MergeFromFail(int line) GOOGLE_ATTRIBUTE_COLD GOOGLE_ATTRIBUTE_NORETURN;
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||||
static void MergeFromFail(int line) {
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||||
::google::protobuf::internal::MergeFromFail(__FILE__, line);
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||||
}
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||||
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} // namespace
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// ===================================================================
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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 (this != internal_default_instance()) protobuf_InitDefaults_tensor_5fshape_2eproto();
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SharedCtor();
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||||
// @@protoc_insertion_point(constructor: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) {
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||||
#ifdef GOOGLE_PROTOBUF_NO_STATIC_INITIALIZER
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protobuf_InitDefaults_tensor_5fshape_2eproto();
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#endif // GOOGLE_PROTOBUF_NO_STATIC_INITIALIZER
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SharedCtor();
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RegisterArenaDtor(arena);
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||||
// @@protoc_insertion_point(arena_constructor:tensorflow.TensorShapeProto.Dim)
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}
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||||
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||||
void TensorShapeProto_Dim::InitAsDefaultInstance() {
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||||
}
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TensorShapeProto_Dim::TensorShapeProto_Dim(const TensorShapeProto_Dim& from)
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||||
: ::google::protobuf::Message(),
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_internal_metadata_(NULL) {
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SharedCtor();
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UnsafeMergeFrom(from);
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||||
// @@protoc_insertion_point(copy_constructor:tensorflow.TensorShapeProto.Dim)
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}
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void TensorShapeProto_Dim::SharedCtor() {
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name_.UnsafeSetDefault(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
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size_ = GOOGLE_LONGLONG(0);
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||||
_cached_size_ = 0;
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}
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TensorShapeProto_Dim::~TensorShapeProto_Dim() {
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// @@protoc_insertion_point(destructor:tensorflow.TensorShapeProto.Dim)
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SharedDtor();
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}
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void TensorShapeProto_Dim::SharedDtor() {
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::google::protobuf::Arena* arena = GetArenaNoVirtual();
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||||
if (arena != NULL) {
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return;
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||||
}
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||||
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name_.Destroy(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), arena);
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||||
}
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||||
void TensorShapeProto_Dim::ArenaDtor(void* object) {
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||||
TensorShapeProto_Dim* _this = reinterpret_cast< TensorShapeProto_Dim* >(object);
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(void)_this;
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||||
}
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||||
void TensorShapeProto_Dim::RegisterArenaDtor(::google::protobuf::Arena* arena) {
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||||
}
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void TensorShapeProto_Dim::SetCachedSize(int size) const {
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GOOGLE_SAFE_CONCURRENT_WRITES_BEGIN();
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_cached_size_ = size;
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GOOGLE_SAFE_CONCURRENT_WRITES_END();
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}
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const ::google::protobuf::Descriptor* TensorShapeProto_Dim::descriptor() {
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protobuf_AssignDescriptorsOnce();
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||||
return TensorShapeProto_Dim_descriptor_;
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||||
}
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||||
const TensorShapeProto_Dim& TensorShapeProto_Dim::default_instance() {
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||||
protobuf_InitDefaults_tensor_5fshape_2eproto();
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||||
return *internal_default_instance();
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||||
}
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||||
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||||
::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto_Dim> TensorShapeProto_Dim_default_instance_;
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||||
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||||
TensorShapeProto_Dim* TensorShapeProto_Dim::New(::google::protobuf::Arena* arena) const {
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return ::google::protobuf::Arena::CreateMessage<TensorShapeProto_Dim>(arena);
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||||
}
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||||
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||||
void TensorShapeProto_Dim::Clear() {
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||||
// @@protoc_insertion_point(message_clear_start:tensorflow.TensorShapeProto.Dim)
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||||
size_ = GOOGLE_LONGLONG(0);
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name_.ClearToEmpty(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
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||||
}
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||||
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||||
bool TensorShapeProto_Dim::MergePartialFromCodedStream(
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::google::protobuf::io::CodedInputStream* input) {
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||||
#define DO_(EXPRESSION) if (!GOOGLE_PREDICT_TRUE(EXPRESSION)) goto failure
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::google::protobuf::uint32 tag;
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||||
// @@protoc_insertion_point(parse_start:tensorflow.TensorShapeProto.Dim)
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for (;;) {
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||||
::std::pair< ::google::protobuf::uint32, bool> p = input->ReadTagWithCutoff(127);
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tag = p.first;
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||||
if (!p.second) goto handle_unusual;
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||||
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
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||||
// optional int64 size = 1;
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||||
case 1: {
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||||
if (tag == 8) {
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||||
|
||||
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
|
||||
::google::protobuf::int64, ::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
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||||
input, &size_)));
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||||
} else {
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||||
goto handle_unusual;
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||||
}
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||||
if (input->ExpectTag(18)) goto parse_name;
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||||
break;
|
||||
}
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||||
|
||||
// optional string name = 2;
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||||
case 2: {
|
||||
if (tag == 18) {
|
||||
parse_name:
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||||
DO_(::google::protobuf::internal::WireFormatLite::ReadString(
|
||||
input, this->mutable_name()));
|
||||
DO_(::google::protobuf::internal::WireFormatLite::VerifyUtf8String(
|
||||
this->name().data(), this->name().length(),
|
||||
::google::protobuf::internal::WireFormatLite::PARSE,
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||||
"tensorflow.TensorShapeProto.Dim.name"));
|
||||
} else {
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||||
goto handle_unusual;
|
||||
}
|
||||
if (input->ExpectAtEnd()) goto success;
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||||
break;
|
||||
}
|
||||
|
||||
default: {
|
||||
handle_unusual:
|
||||
if (tag == 0 ||
|
||||
::google::protobuf::internal::WireFormatLite::GetTagWireType(tag) ==
|
||||
::google::protobuf::internal::WireFormatLite::WIRETYPE_END_GROUP) {
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||||
goto success;
|
||||
}
|
||||
DO_(::google::protobuf::internal::WireFormatLite::SkipField(input, tag));
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
success:
|
||||
// @@protoc_insertion_point(parse_success:tensorflow.TensorShapeProto.Dim)
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||||
return true;
|
||||
failure:
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||||
// @@protoc_insertion_point(parse_failure:tensorflow.TensorShapeProto.Dim)
|
||||
return false;
|
||||
#undef DO_
|
||||
}
|
||||
|
||||
void TensorShapeProto_Dim::SerializeWithCachedSizes(
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||||
::google::protobuf::io::CodedOutputStream* output) const {
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||||
// @@protoc_insertion_point(serialize_start:tensorflow.TensorShapeProto.Dim)
|
||||
// optional int64 size = 1;
|
||||
if (this->size() != 0) {
|
||||
::google::protobuf::internal::WireFormatLite::WriteInt64(1, this->size(), output);
|
||||
}
|
||||
|
||||
// optional string name = 2;
|
||||
if (this->name().size() > 0) {
|
||||
::google::protobuf::internal::WireFormatLite::VerifyUtf8String(
|
||||
this->name().data(), this->name().length(),
|
||||
::google::protobuf::internal::WireFormatLite::SERIALIZE,
|
||||
"tensorflow.TensorShapeProto.Dim.name");
|
||||
::google::protobuf::internal::WireFormatLite::WriteStringMaybeAliased(
|
||||
2, this->name(), output);
|
||||
}
|
||||
|
||||
// @@protoc_insertion_point(serialize_end: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:tensorflow.TensorShapeProto.Dim)
|
||||
// optional int64 size = 1;
|
||||
if (this->size() != 0) {
|
||||
target = ::google::protobuf::internal::WireFormatLite::WriteInt64ToArray(1, this->size(), target);
|
||||
}
|
||||
|
||||
// optional string name = 2;
|
||||
if (this->name().size() > 0) {
|
||||
::google::protobuf::internal::WireFormatLite::VerifyUtf8String(
|
||||
this->name().data(), this->name().length(),
|
||||
::google::protobuf::internal::WireFormatLite::SERIALIZE,
|
||||
"tensorflow.TensorShapeProto.Dim.name");
|
||||
target =
|
||||
::google::protobuf::internal::WireFormatLite::WriteStringToArray(
|
||||
2, this->name(), target);
|
||||
}
|
||||
|
||||
// @@protoc_insertion_point(serialize_to_array_end:tensorflow.TensorShapeProto.Dim)
|
||||
return target;
|
||||
}
|
||||
|
||||
size_t TensorShapeProto_Dim::ByteSizeLong() const {
|
||||
// @@protoc_insertion_point(message_byte_size_start:tensorflow.TensorShapeProto.Dim)
|
||||
size_t total_size = 0;
|
||||
|
||||
// optional int64 size = 1;
|
||||
if (this->size() != 0) {
|
||||
total_size += 1 +
|
||||
::google::protobuf::internal::WireFormatLite::Int64Size(
|
||||
this->size());
|
||||
}
|
||||
|
||||
// optional string name = 2;
|
||||
if (this->name().size() > 0) {
|
||||
total_size += 1 +
|
||||
::google::protobuf::internal::WireFormatLite::StringSize(
|
||||
this->name());
|
||||
}
|
||||
|
||||
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:tensorflow.TensorShapeProto.Dim)
|
||||
if (GOOGLE_PREDICT_FALSE(&from == this)) MergeFromFail(__LINE__);
|
||||
const TensorShapeProto_Dim* source =
|
||||
::google::protobuf::internal::DynamicCastToGenerated<const TensorShapeProto_Dim>(
|
||||
&from);
|
||||
if (source == NULL) {
|
||||
// @@protoc_insertion_point(generalized_merge_from_cast_fail:tensorflow.TensorShapeProto.Dim)
|
||||
::google::protobuf::internal::ReflectionOps::Merge(from, this);
|
||||
} else {
|
||||
// @@protoc_insertion_point(generalized_merge_from_cast_success:tensorflow.TensorShapeProto.Dim)
|
||||
UnsafeMergeFrom(*source);
|
||||
}
|
||||
}
|
||||
|
||||
void TensorShapeProto_Dim::MergeFrom(const TensorShapeProto_Dim& from) {
|
||||
// @@protoc_insertion_point(class_specific_merge_from_start:tensorflow.TensorShapeProto.Dim)
|
||||
if (GOOGLE_PREDICT_TRUE(&from != this)) {
|
||||
UnsafeMergeFrom(from);
|
||||
} else {
|
||||
MergeFromFail(__LINE__);
|
||||
}
|
||||
}
|
||||
|
||||
void TensorShapeProto_Dim::UnsafeMergeFrom(const TensorShapeProto_Dim& from) {
|
||||
GOOGLE_DCHECK(&from != this);
|
||||
if (from.size() != 0) {
|
||||
set_size(from.size());
|
||||
}
|
||||
if (from.name().size() > 0) {
|
||||
set_name(from.name());
|
||||
}
|
||||
}
|
||||
|
||||
void TensorShapeProto_Dim::CopyFrom(const ::google::protobuf::Message& from) {
|
||||
// @@protoc_insertion_point(generalized_copy_from_start: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:tensorflow.TensorShapeProto.Dim)
|
||||
if (&from == this) return;
|
||||
Clear();
|
||||
UnsafeMergeFrom(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;
|
||||
temp.UnsafeMergeFrom(*this);
|
||||
CopyFrom(*other);
|
||||
other->CopyFrom(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) {
|
||||
std::swap(size_, other->size_);
|
||||
name_.Swap(&other->name_);
|
||||
_internal_metadata_.Swap(&other->_internal_metadata_);
|
||||
std::swap(_cached_size_, other->_cached_size_);
|
||||
}
|
||||
|
||||
::google::protobuf::Metadata TensorShapeProto_Dim::GetMetadata() const {
|
||||
protobuf_AssignDescriptorsOnce();
|
||||
::google::protobuf::Metadata metadata;
|
||||
metadata.descriptor = TensorShapeProto_Dim_descriptor_;
|
||||
metadata.reflection = TensorShapeProto_Dim_reflection_;
|
||||
return metadata;
|
||||
}
|
||||
|
||||
|
||||
// -------------------------------------------------------------------
|
||||
|
||||
#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 (this != internal_default_instance()) protobuf_InitDefaults_tensor_5fshape_2eproto();
|
||||
SharedCtor();
|
||||
// @@protoc_insertion_point(constructor:tensorflow.TensorShapeProto)
|
||||
}
|
||||
TensorShapeProto::TensorShapeProto(::google::protobuf::Arena* arena)
|
||||
: ::google::protobuf::Message(),
|
||||
_internal_metadata_(arena),
|
||||
dim_(arena) {
|
||||
#ifdef GOOGLE_PROTOBUF_NO_STATIC_INITIALIZER
|
||||
protobuf_InitDefaults_tensor_5fshape_2eproto();
|
||||
#endif // GOOGLE_PROTOBUF_NO_STATIC_INITIALIZER
|
||||
SharedCtor();
|
||||
RegisterArenaDtor(arena);
|
||||
// @@protoc_insertion_point(arena_constructor:tensorflow.TensorShapeProto)
|
||||
}
|
||||
|
||||
void TensorShapeProto::InitAsDefaultInstance() {
|
||||
}
|
||||
|
||||
TensorShapeProto::TensorShapeProto(const TensorShapeProto& from)
|
||||
: ::google::protobuf::Message(),
|
||||
_internal_metadata_(NULL) {
|
||||
SharedCtor();
|
||||
UnsafeMergeFrom(from);
|
||||
// @@protoc_insertion_point(copy_constructor:tensorflow.TensorShapeProto)
|
||||
}
|
||||
|
||||
void TensorShapeProto::SharedCtor() {
|
||||
unknown_rank_ = false;
|
||||
_cached_size_ = 0;
|
||||
}
|
||||
|
||||
TensorShapeProto::~TensorShapeProto() {
|
||||
// @@protoc_insertion_point(destructor:tensorflow.TensorShapeProto)
|
||||
SharedDtor();
|
||||
}
|
||||
|
||||
void TensorShapeProto::SharedDtor() {
|
||||
::google::protobuf::Arena* arena = GetArenaNoVirtual();
|
||||
if (arena != NULL) {
|
||||
return;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
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_AssignDescriptorsOnce();
|
||||
return TensorShapeProto_descriptor_;
|
||||
}
|
||||
|
||||
const TensorShapeProto& TensorShapeProto::default_instance() {
|
||||
protobuf_InitDefaults_tensor_5fshape_2eproto();
|
||||
return *internal_default_instance();
|
||||
}
|
||||
|
||||
::google::protobuf::internal::ExplicitlyConstructed<TensorShapeProto> TensorShapeProto_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:tensorflow.TensorShapeProto)
|
||||
unknown_rank_ = false;
|
||||
dim_.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:tensorflow.TensorShapeProto)
|
||||
for (;;) {
|
||||
::std::pair< ::google::protobuf::uint32, bool> p = input->ReadTagWithCutoff(127);
|
||||
tag = p.first;
|
||||
if (!p.second) goto handle_unusual;
|
||||
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
|
||||
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
|
||||
case 2: {
|
||||
if (tag == 18) {
|
||||
DO_(input->IncrementRecursionDepth());
|
||||
parse_loop_dim:
|
||||
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtualNoRecursionDepth(
|
||||
input, add_dim()));
|
||||
} else {
|
||||
goto handle_unusual;
|
||||
}
|
||||
if (input->ExpectTag(18)) goto parse_loop_dim;
|
||||
input->UnsafeDecrementRecursionDepth();
|
||||
if (input->ExpectTag(24)) goto parse_unknown_rank;
|
||||
break;
|
||||
}
|
||||
|
||||
// optional bool unknown_rank = 3;
|
||||
case 3: {
|
||||
if (tag == 24) {
|
||||
parse_unknown_rank:
|
||||
|
||||
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
|
||||
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
|
||||
input, &unknown_rank_)));
|
||||
} else {
|
||||
goto handle_unusual;
|
||||
}
|
||||
if (input->ExpectAtEnd()) goto success;
|
||||
break;
|
||||
}
|
||||
|
||||
default: {
|
||||
handle_unusual:
|
||||
if (tag == 0 ||
|
||||
::google::protobuf::internal::WireFormatLite::GetTagWireType(tag) ==
|
||||
::google::protobuf::internal::WireFormatLite::WIRETYPE_END_GROUP) {
|
||||
goto success;
|
||||
}
|
||||
DO_(::google::protobuf::internal::WireFormatLite::SkipField(input, tag));
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
success:
|
||||
// @@protoc_insertion_point(parse_success:tensorflow.TensorShapeProto)
|
||||
return true;
|
||||
failure:
|
||||
// @@protoc_insertion_point(parse_failure:tensorflow.TensorShapeProto)
|
||||
return false;
|
||||
#undef DO_
|
||||
}
|
||||
|
||||
void TensorShapeProto::SerializeWithCachedSizes(
|
||||
::google::protobuf::io::CodedOutputStream* output) const {
|
||||
// @@protoc_insertion_point(serialize_start:tensorflow.TensorShapeProto)
|
||||
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
|
||||
for (unsigned int i = 0, n = this->dim_size(); i < n; i++) {
|
||||
::google::protobuf::internal::WireFormatLite::WriteMessageMaybeToArray(
|
||||
2, this->dim(i), output);
|
||||
}
|
||||
|
||||
// optional bool unknown_rank = 3;
|
||||
if (this->unknown_rank() != 0) {
|
||||
::google::protobuf::internal::WireFormatLite::WriteBool(3, this->unknown_rank(), output);
|
||||
}
|
||||
|
||||
// @@protoc_insertion_point(serialize_end:tensorflow.TensorShapeProto)
|
||||
}
|
||||
|
||||
::google::protobuf::uint8* TensorShapeProto::InternalSerializeWithCachedSizesToArray(
|
||||
bool deterministic, ::google::protobuf::uint8* target) const {
|
||||
(void)deterministic; // Unused
|
||||
// @@protoc_insertion_point(serialize_to_array_start:tensorflow.TensorShapeProto)
|
||||
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
|
||||
for (unsigned int i = 0, n = this->dim_size(); i < n; i++) {
|
||||
target = ::google::protobuf::internal::WireFormatLite::
|
||||
InternalWriteMessageNoVirtualToArray(
|
||||
2, this->dim(i), false, target);
|
||||
}
|
||||
|
||||
// optional bool unknown_rank = 3;
|
||||
if (this->unknown_rank() != 0) {
|
||||
target = ::google::protobuf::internal::WireFormatLite::WriteBoolToArray(3, this->unknown_rank(), target);
|
||||
}
|
||||
|
||||
// @@protoc_insertion_point(serialize_to_array_end:tensorflow.TensorShapeProto)
|
||||
return target;
|
||||
}
|
||||
|
||||
size_t TensorShapeProto::ByteSizeLong() const {
|
||||
// @@protoc_insertion_point(message_byte_size_start:tensorflow.TensorShapeProto)
|
||||
size_t total_size = 0;
|
||||
|
||||
// optional bool unknown_rank = 3;
|
||||
if (this->unknown_rank() != 0) {
|
||||
total_size += 1 + 1;
|
||||
}
|
||||
|
||||
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
|
||||
{
|
||||
unsigned int count = this->dim_size();
|
||||
total_size += 1UL * count;
|
||||
for (unsigned int i = 0; i < count; i++) {
|
||||
total_size +=
|
||||
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
|
||||
this->dim(i));
|
||||
}
|
||||
}
|
||||
|
||||
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:tensorflow.TensorShapeProto)
|
||||
if (GOOGLE_PREDICT_FALSE(&from == this)) MergeFromFail(__LINE__);
|
||||
const TensorShapeProto* source =
|
||||
::google::protobuf::internal::DynamicCastToGenerated<const TensorShapeProto>(
|
||||
&from);
|
||||
if (source == NULL) {
|
||||
// @@protoc_insertion_point(generalized_merge_from_cast_fail:tensorflow.TensorShapeProto)
|
||||
::google::protobuf::internal::ReflectionOps::Merge(from, this);
|
||||
} else {
|
||||
// @@protoc_insertion_point(generalized_merge_from_cast_success:tensorflow.TensorShapeProto)
|
||||
UnsafeMergeFrom(*source);
|
||||
}
|
||||
}
|
||||
|
||||
void TensorShapeProto::MergeFrom(const TensorShapeProto& from) {
|
||||
// @@protoc_insertion_point(class_specific_merge_from_start:tensorflow.TensorShapeProto)
|
||||
if (GOOGLE_PREDICT_TRUE(&from != this)) {
|
||||
UnsafeMergeFrom(from);
|
||||
} else {
|
||||
MergeFromFail(__LINE__);
|
||||
}
|
||||
}
|
||||
|
||||
void TensorShapeProto::UnsafeMergeFrom(const TensorShapeProto& from) {
|
||||
GOOGLE_DCHECK(&from != this);
|
||||
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:tensorflow.TensorShapeProto)
|
||||
if (&from == this) return;
|
||||
Clear();
|
||||
MergeFrom(from);
|
||||
}
|
||||
|
||||
void TensorShapeProto::CopyFrom(const TensorShapeProto& from) {
|
||||
// @@protoc_insertion_point(class_specific_copy_from_start:tensorflow.TensorShapeProto)
|
||||
if (&from == this) return;
|
||||
Clear();
|
||||
UnsafeMergeFrom(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;
|
||||
temp.UnsafeMergeFrom(*this);
|
||||
CopyFrom(*other);
|
||||
other->CopyFrom(temp);
|
||||
}
|
||||
}
|
||||
void TensorShapeProto::UnsafeArenaSwap(TensorShapeProto* other) {
|
||||
if (other == this) return;
|
||||
GOOGLE_DCHECK(GetArenaNoVirtual() == other->GetArenaNoVirtual());
|
||||
InternalSwap(other);
|
||||
}
|
||||
void TensorShapeProto::InternalSwap(TensorShapeProto* other) {
|
||||
dim_.UnsafeArenaSwap(&other->dim_);
|
||||
std::swap(unknown_rank_, other->unknown_rank_);
|
||||
_internal_metadata_.Swap(&other->_internal_metadata_);
|
||||
std::swap(_cached_size_, other->_cached_size_);
|
||||
}
|
||||
|
||||
::google::protobuf::Metadata TensorShapeProto::GetMetadata() const {
|
||||
protobuf_AssignDescriptorsOnce();
|
||||
::google::protobuf::Metadata metadata;
|
||||
metadata.descriptor = TensorShapeProto_descriptor_;
|
||||
metadata.reflection = TensorShapeProto_reflection_;
|
||||
return metadata;
|
||||
}
|
||||
|
||||
#if PROTOBUF_INLINE_NOT_IN_HEADERS
|
||||
// TensorShapeProto_Dim
|
||||
|
||||
// optional int64 size = 1;
|
||||
void TensorShapeProto_Dim::clear_size() {
|
||||
size_ = GOOGLE_LONGLONG(0);
|
||||
}
|
||||
::google::protobuf::int64 TensorShapeProto_Dim::size() const {
|
||||
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.Dim.size)
|
||||
return size_;
|
||||
}
|
||||
void TensorShapeProto_Dim::set_size(::google::protobuf::int64 value) {
|
||||
|
||||
size_ = value;
|
||||
// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.Dim.size)
|
||||
}
|
||||
|
||||
// optional string name = 2;
|
||||
void TensorShapeProto_Dim::clear_name() {
|
||||
name_.ClearToEmpty(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
|
||||
}
|
||||
const ::std::string& TensorShapeProto_Dim::name() const {
|
||||
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.Dim.name)
|
||||
return name_.Get(&::google::protobuf::internal::GetEmptyStringAlreadyInited());
|
||||
}
|
||||
void TensorShapeProto_Dim::set_name(const ::std::string& value) {
|
||||
|
||||
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value, GetArenaNoVirtual());
|
||||
// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.Dim.name)
|
||||
}
|
||||
void TensorShapeProto_Dim::set_name(const char* value) {
|
||||
|
||||
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(value),
|
||||
GetArenaNoVirtual());
|
||||
// @@protoc_insertion_point(field_set_char:tensorflow.TensorShapeProto.Dim.name)
|
||||
}
|
||||
void TensorShapeProto_Dim::set_name(const char* value,
|
||||
size_t size) {
|
||||
|
||||
name_.Set(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), ::std::string(
|
||||
reinterpret_cast<const char*>(value), size), GetArenaNoVirtual());
|
||||
// @@protoc_insertion_point(field_set_pointer:tensorflow.TensorShapeProto.Dim.name)
|
||||
}
|
||||
::std::string* TensorShapeProto_Dim::mutable_name() {
|
||||
|
||||
// @@protoc_insertion_point(field_mutable:tensorflow.TensorShapeProto.Dim.name)
|
||||
return name_.Mutable(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
|
||||
}
|
||||
::std::string* TensorShapeProto_Dim::release_name() {
|
||||
// @@protoc_insertion_point(field_release:tensorflow.TensorShapeProto.Dim.name)
|
||||
|
||||
return name_.Release(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), GetArenaNoVirtual());
|
||||
}
|
||||
::std::string* TensorShapeProto_Dim::unsafe_arena_release_name() {
|
||||
// @@protoc_insertion_point(field_unsafe_arena_release:tensorflow.TensorShapeProto.Dim.name)
|
||||
GOOGLE_DCHECK(GetArenaNoVirtual() != NULL);
|
||||
|
||||
return name_.UnsafeArenaRelease(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
|
||||
GetArenaNoVirtual());
|
||||
}
|
||||
void TensorShapeProto_Dim::set_allocated_name(::std::string* name) {
|
||||
if (name != NULL) {
|
||||
|
||||
} else {
|
||||
|
||||
}
|
||||
name_.SetAllocated(&::google::protobuf::internal::GetEmptyStringAlreadyInited(), name,
|
||||
GetArenaNoVirtual());
|
||||
// @@protoc_insertion_point(field_set_allocated:tensorflow.TensorShapeProto.Dim.name)
|
||||
}
|
||||
void TensorShapeProto_Dim::unsafe_arena_set_allocated_name(
|
||||
::std::string* name) {
|
||||
GOOGLE_DCHECK(GetArenaNoVirtual() != NULL);
|
||||
if (name != NULL) {
|
||||
|
||||
} else {
|
||||
|
||||
}
|
||||
name_.UnsafeArenaSetAllocated(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
|
||||
name, GetArenaNoVirtual());
|
||||
// @@protoc_insertion_point(field_unsafe_arena_set_allocated:tensorflow.TensorShapeProto.Dim.name)
|
||||
}
|
||||
|
||||
inline const TensorShapeProto_Dim* TensorShapeProto_Dim::internal_default_instance() {
|
||||
return &TensorShapeProto_Dim_default_instance_.get();
|
||||
}
|
||||
// -------------------------------------------------------------------
|
||||
|
||||
// TensorShapeProto
|
||||
|
||||
// repeated .tensorflow.TensorShapeProto.Dim dim = 2;
|
||||
int TensorShapeProto::dim_size() const {
|
||||
return dim_.size();
|
||||
}
|
||||
void TensorShapeProto::clear_dim() {
|
||||
dim_.Clear();
|
||||
}
|
||||
const ::tensorflow::TensorShapeProto_Dim& TensorShapeProto::dim(int index) const {
|
||||
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.dim)
|
||||
return dim_.Get(index);
|
||||
}
|
||||
::tensorflow::TensorShapeProto_Dim* TensorShapeProto::mutable_dim(int index) {
|
||||
// @@protoc_insertion_point(field_mutable:tensorflow.TensorShapeProto.dim)
|
||||
return dim_.Mutable(index);
|
||||
}
|
||||
::tensorflow::TensorShapeProto_Dim* TensorShapeProto::add_dim() {
|
||||
// @@protoc_insertion_point(field_add:tensorflow.TensorShapeProto.dim)
|
||||
return dim_.Add();
|
||||
}
|
||||
::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >*
|
||||
TensorShapeProto::mutable_dim() {
|
||||
// @@protoc_insertion_point(field_mutable_list:tensorflow.TensorShapeProto.dim)
|
||||
return &dim_;
|
||||
}
|
||||
const ::google::protobuf::RepeatedPtrField< ::tensorflow::TensorShapeProto_Dim >&
|
||||
TensorShapeProto::dim() const {
|
||||
// @@protoc_insertion_point(field_list:tensorflow.TensorShapeProto.dim)
|
||||
return dim_;
|
||||
}
|
||||
|
||||
// optional bool unknown_rank = 3;
|
||||
void TensorShapeProto::clear_unknown_rank() {
|
||||
unknown_rank_ = false;
|
||||
}
|
||||
bool TensorShapeProto::unknown_rank() const {
|
||||
// @@protoc_insertion_point(field_get:tensorflow.TensorShapeProto.unknown_rank)
|
||||
return unknown_rank_;
|
||||
}
|
||||
void TensorShapeProto::set_unknown_rank(bool value) {
|
||||
|
||||
unknown_rank_ = value;
|
||||
// @@protoc_insertion_point(field_set:tensorflow.TensorShapeProto.unknown_rank)
|
||||
}
|
||||
|
||||
inline const TensorShapeProto* TensorShapeProto::internal_default_instance() {
|
||||
return &TensorShapeProto_default_instance_.get();
|
||||
}
|
||||
#endif // PROTOBUF_INLINE_NOT_IN_HEADERS
|
||||
|
||||
// @@protoc_insertion_point(namespace_scope)
|
||||
|
||||
} // namespace tensorflow
|
||||
|
||||
// @@protoc_insertion_point(global_scope)
|
||||
Reference in New Issue
Block a user