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提交 1ad8f821 编写于 作者: 朔-望's avatar 朔-望
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modify to 2 spaces indent & format code & rm build folder

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......@@ -2,5 +2,4 @@
Language: Cpp
BasedOnStyle: LLVM
Standard: Cpp11
IndentWidth: 4
...
cmake-build-release/compile_commands.json 已删除 100644 → 0
浏览文件 @ e35ef6fe
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\ No newline at end of file
src/common/log.h
浏览文件 @ 1ad8f821
......@@ -56,7 +56,7 @@ struct Print {
return *this;
}
private:
private:
void print(LogLevel level) {
buffer_ << std::endl;
if (level == kLOG_ERROR) {
......@@ -73,8 +73,7 @@ struct ToLog {
: level_(level) {
unsigned blanks =
(unsigned)(level > kLOG_DEBUG ? (level - kLOG_DEBUG) * 4 : 1);
printer_ << logs[level] << " " << info << ":"
<< std::string(blanks, ' ');
printer_ << logs[level] << " " << info << ":" << std::string(blanks, ' ');
}
template <typename T> ToLog &operator<<(T const &value) {
......@@ -84,7 +83,7 @@ struct ToLog {
~ToLog() { printer_.print(level_); }
private:
private:
LogLevel level_;
Print printer_;
};
......@@ -93,10 +92,10 @@ struct ToLog {
if (level > paddle_mobile::log_level) { \
} else \
paddle_mobile::ToLog( \
level, (std::stringstream() \
level, \
(std::stringstream() \
<< "[file: " \
<< (strrchr(__FILE__, '/') ? (strrchr(__FILE__, '/') + 1) \
: __FILE__) \
<< (strrchr(__FILE__, '/') ? (strrchr(__FILE__, '/') + 1) : __FILE__) \
<< "] [line: " << __LINE__ << "] ") \
.str())
......@@ -107,8 +106,7 @@ struct ToLog {
paddle_mobile::kLOG_DEBUG, \
(std::stringstream() \
<< "[file: " \
<< (strrchr(__FILE__, '/') ? (strrchr(__FILE__, '/') + 1) \
: __FILE__) \
<< (strrchr(__FILE__, '/') ? (strrchr(__FILE__, '/') + 1) : __FILE__) \
<< "] [line: " << __LINE__ << "] ") \
.str())
} // namespace paddle_mobile
......@@ -144,7 +142,7 @@ struct Print {
friend struct ToLog;
template <typename T> Print &operator<<(T const &value) {}
private:
private:
};
struct ToLog {
......
src/common/variant.h
浏览文件 @ 1ad8f821
......@@ -49,7 +49,7 @@ template <typename F> struct VariantHelper<F> {
};
template <size_t size> class RawData {
public:
public:
char data[size];
RawData() {}
RawData(const RawData &raw_data) { strcpy(data, raw_data.data); }
......@@ -87,7 +87,7 @@ template <typename... Ts> struct Variant {
size_t TypeId() const { return type_id; }
private:
private:
static inline size_t invalid_type() { return typeid(void).hash_code(); }
typedef VariantHelper<Ts...> helper;
size_t type_id;
......
src/framework/attribute.h
浏览文件 @ 1ad8f821
......@@ -27,7 +27,7 @@ namespace framework {
class BlockDesc;
class Attribute {
public:
public:
static Attribute GetAttrValue(const proto::OpDesc::Attr &attr_desc) {
// std::cout << "begin get attr value" << std::endl;
Attribute attr;
......@@ -100,7 +100,7 @@ class Attribute {
template <typename T> T &Get() const { return variant_.Get<T>(); }
private:
private:
Variant<int, float, std::string, std::vector<int>, std::vector<float>,
std::vector<std::string>, bool, std::vector<bool>, BlockDesc *,
int64_t>
......@@ -110,7 +110,7 @@ class Attribute {
using AttributeMap = std::unordered_map<std::string, Attribute>;
class AttrReader {
public:
public:
explicit AttrReader(const AttributeMap &attrs) : attrs_(attrs) {}
template <typename T> inline T Get(const std::string &name) const {
......@@ -121,7 +121,7 @@ class AttrReader {
return ((Attribute)attrs_.at(name)).Get<T>();
}
private:
private:
const AttributeMap &attrs_;
};
......
src/framework/block_desc.h
浏览文件 @ 1ad8f821
......@@ -27,7 +27,7 @@ namespace paddle_mobile {
namespace framework {
class BlockDesc : PaddleMobileObject {
public:
public:
BlockDesc(const proto::BlockDesc &desc);
const int &ID() const { return desc_.idx(); }
......@@ -35,8 +35,7 @@ class BlockDesc : PaddleMobileObject {
const int &Parent() const { return desc_.parent_idx(); }
bool operator==(const paddle_mobile::framework::BlockDesc &in_block) const {
return this->ID() == in_block.ID() &&
this->Parent() == in_block.Parent();
return this->ID() == in_block.ID() && this->Parent() == in_block.Parent();
}
bool operator<(const paddle_mobile::framework::BlockDesc &in_block) const {
......@@ -46,7 +45,7 @@ class BlockDesc : PaddleMobileObject {
std::vector<std::shared_ptr<VarDesc>> Vars() const;
std::vector<std::shared_ptr<OpDesc>> Ops() const;
private:
private:
proto::BlockDesc desc_;
std::vector<std::shared_ptr<OpDesc>> ops_;
std::unordered_map<std::string, std::shared_ptr<VarDesc>> vars_;
......
src/framework/ddim.cc
浏览文件 @ 1ad8f821
......@@ -90,26 +90,24 @@ DDim make_ddim(const std::vector<int> &dims) {
// XXX For some reason, putting this in an anonymous namespace causes
// errors
struct DynamicMutableIndexer : Vistor<int64_t &> {
public:
public:
explicit DynamicMutableIndexer(int idx) : idx_(idx) {}
template <int D> int64_t &operator()(Dim<D> &dim) const {
return dim[idx_];
}
template <int D> int64_t &operator()(Dim<D> &dim) const { return dim[idx_]; }
private:
private:
int idx_;
};
struct DynamicConstIndexer : public Vistor<int64_t> {
public:
public:
explicit DynamicConstIndexer(int idx) : idx_(idx) {}
template <int D> int64_t operator()(const Dim<D> &dim) const {
return dim[idx_];
}
private:
private:
int idx_;
};
......@@ -288,7 +286,7 @@ struct OSVistor : Vistor<std::ostream &> {
return os_ << dim;
}
private:
private:
std::ostream &os_;
};
......
src/framework/dim.h
浏览文件 @ 1ad8f821
......@@ -123,9 +123,7 @@ template <> struct DimGetter<0> {
return d.head;
}
// Return a reference if Dim is mutable
template <typename D> HOSTDEVICE static int64_t &impl(D &d) {
return d.head;
}
template <typename D> HOSTDEVICE static int64_t &impl(D &d) { return d.head; }
};
template <int D> HOSTDEVICE int64_t &indexer(Dim<D> &dim, int idx) {
......
src/framework/executor.h
浏览文件 @ 1ad8f821
......@@ -35,14 +35,14 @@ namespace paddle_mobile {
namespace framework {
template <typename Dtype> class Executor {
public:
public:
Executor();
Executor(const Program<Dtype> p);
std::shared_ptr<Tensor> predict(Tensor &t);
public:
public:
const framework::Program<Dtype> program_;
std::shared_ptr<ProgramDesc> to_predict_program_;
......
src/framework/framework.pb.cpp
浏览文件 @ 1ad8f821
......@@ -18,74 +18,73 @@ namespace paddle_mobile {
namespace framework {
namespace proto {
class OpDesc_AttrDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<OpDesc_Attr> _instance;
} _OpDesc_Attr_default_instance_;
class OpDesc_VarDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<OpDesc_Var> _instance;
} _OpDesc_Var_default_instance_;
class OpDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<OpDesc> _instance;
} _OpDesc_default_instance_;
class OpProto_VarDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<OpProto_Var> _instance;
} _OpProto_Var_default_instance_;
class OpProto_AttrDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<OpProto_Attr> _instance;
} _OpProto_Attr_default_instance_;
class OpProtoDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<OpProto> _instance;
} _OpProto_default_instance_;
class VarType_TensorDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType_TensorDesc>
_instance;
} _VarType_TensorDesc_default_instance_;
class VarType_LoDTensorDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType_LoDTensorDesc>
_instance;
} _VarType_LoDTensorDesc_default_instance_;
class VarType_LoDTensorArrayDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<
VarType_LoDTensorArrayDesc>
_instance;
} _VarType_LoDTensorArrayDesc_default_instance_;
class VarType_ReaderDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType_ReaderDesc>
_instance;
} _VarType_ReaderDesc_default_instance_;
class VarType_ChannelDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType_ChannelDesc>
_instance;
} _VarType_ChannelDesc_default_instance_;
class VarType_TupleDefaultTypeInternal {
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType_Tuple>
_instance;
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType_Tuple> _instance;
} _VarType_Tuple_default_instance_;
class VarTypeDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<VarType> _instance;
} _VarType_default_instance_;
class VarDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<VarDesc> _instance;
} _VarDesc_default_instance_;
class BlockDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<BlockDesc> _instance;
} _BlockDesc_default_instance_;
class ProgramDescDefaultTypeInternal {
public:
public:
::google::protobuf::internal::ExplicitlyConstructed<ProgramDesc> _instance;
} _ProgramDesc_default_instance_;
......@@ -207,10 +206,9 @@ void TableStruct::InitDefaultsImpl() {
const_cast<::paddle_mobile::framework::proto::VarType_Tuple *>(
::paddle_mobile::framework::proto::VarType_Tuple::
internal_default_instance());
_VarDesc_default_instance_._instance.get_mutable()->type_ =
const_cast<::paddle_mobile::framework::proto::VarType *>(
::paddle_mobile::framework::proto::VarType::
internal_default_instance());
_VarDesc_default_instance_._instance.get_mutable()
->type_ = const_cast<::paddle_mobile::framework::proto::VarType *>(
::paddle_mobile::framework::proto::VarType::internal_default_instance());
}
void InitDefaults() {
......@@ -338,8 +336,7 @@ OpDesc_Attr::OpDesc_Attr(const OpDesc_Attr &from)
&::google::protobuf::internal::GetEmptyStringAlreadyInited());
if (from.has_s()) {
s_.AssignWithDefault(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
from.s_);
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), from.s_);
}
::memcpy(&type_, &from.type_,
static_cast<size_t>(reinterpret_cast<char *>(&block_idx_) -
......@@ -443,8 +440,8 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required string name = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
......@@ -463,15 +460,12 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
int value;
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::
TYPE_ENUM>(input, &value)));
if (::paddle_mobile::framework::proto::AttrType_IsValid(
value)) {
set_type(static_cast<
::paddle_mobile::framework::proto::AttrType>(
value));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
if (::paddle_mobile::framework::proto::AttrType_IsValid(value)) {
set_type(
static_cast<::paddle_mobile::framework::proto::AttrType>(value));
} else {
unknown_fields_stream.WriteVarint32(16u);
unknown_fields_stream.WriteVarint32(
......@@ -488,11 +482,10 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(24u /* 24 & 0xFF */)) {
set_has_i();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &i_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(input,
&i_)));
} else {
goto handle_unusual;
}
......@@ -504,10 +497,9 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(37u /* 37 & 0xFF */)) {
set_has_f();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
float, ::google::protobuf::internal::WireFormatLite::
TYPE_FLOAT>(input, &f_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
float, ::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
input, &f_)));
} else {
goto handle_unusual;
}
......@@ -530,19 +522,18 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
case 6: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(48u /* 48 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadRepeatedPrimitive<::google::protobuf::int32,
::google::protobuf::internal::
WireFormatLite::TYPE_INT32>(
DO_((
::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
1, 48u, input, this->mutable_ints())));
} else if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(
50u /* 50 & 0xFF */)) {
static_cast<::google::protobuf::uint8>(50u /* 50 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadPackedPrimitiveNoInline<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, this->mutable_ints())));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, this->mutable_ints())));
} else {
goto handle_unusual;
}
......@@ -553,18 +544,17 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
case 7: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(61u /* 61 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadRepeatedPrimitive<float,
::google::protobuf::internal::
WireFormatLite::TYPE_FLOAT>(
DO_((
::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitive<
float,
::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
1, 61u, input, this->mutable_floats())));
} else if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(
58u /* 58 & 0xFF */)) {
static_cast<::google::protobuf::uint8>(58u /* 58 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadPackedPrimitiveNoInline<
float, ::google::protobuf::internal::
WireFormatLite::TYPE_FLOAT>(
float,
::google::protobuf::internal::WireFormatLite::TYPE_FLOAT>(
input, this->mutable_floats())));
} else {
goto handle_unusual;
......@@ -589,10 +579,9 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(80u /* 80 & 0xFF */)) {
set_has_b();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &b_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &b_)));
} else {
goto handle_unusual;
}
......@@ -603,18 +592,16 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
case 11: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(88u /* 88 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadRepeatedPrimitive<bool,
::google::protobuf::internal::
WireFormatLite::TYPE_BOOL>(
DO_((
::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
1, 88u, input, this->mutable_bools())));
} else if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(
90u /* 90 & 0xFF */)) {
static_cast<::google::protobuf::uint8>(90u /* 90 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadPackedPrimitiveNoInline<
bool, ::google::protobuf::internal::
WireFormatLite::TYPE_BOOL>(
bool,
::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, this->mutable_bools())));
} else {
goto handle_unusual;
......@@ -627,11 +614,10 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(96u /* 96 & 0xFF */)) {
set_has_block_idx();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &block_idx_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, &block_idx_)));
} else {
goto handle_unusual;
}
......@@ -643,11 +629,10 @@ bool OpDesc_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(104u /* 104 & 0xFF */)) {
set_has_l();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int64,
::google::protobuf::internal::WireFormatLite::
TYPE_INT64>(input, &l_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT64>(input,
&l_)));
} else {
goto handle_unusual;
}
......@@ -713,14 +698,14 @@ void OpDesc_Attr::SerializeWithCachedSizes(
// repeated int32 ints = 6;
for (int i = 0, n = this->ints_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteInt32(
6, this->ints(i), output);
::google::protobuf::internal::WireFormatLite::WriteInt32(6, this->ints(i),
output);
}
// repeated float floats = 7;
for (int i = 0, n = this->floats_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteFloat(
7, this->floats(i), output);
::google::protobuf::internal::WireFormatLite::WriteFloat(7, this->floats(i),
output);
}
// repeated string strings = 8;
......@@ -737,8 +722,8 @@ void OpDesc_Attr::SerializeWithCachedSizes(
// repeated bool bools = 11;
for (int i = 0, n = this->bools_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteBool(
11, this->bools(i), output);
::google::protobuf::internal::WireFormatLite::WriteBool(11, this->bools(i),
output);
}
// optional int32 block_idx = 12;
......@@ -765,16 +750,14 @@ size_t OpDesc_Attr::RequiredFieldsByteSizeFallback() const {
if (has_name()) {
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
}
if (has_type()) {
// required .paddle_mobile.framework.proto.AttrType type =
// 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->type());
}
......@@ -789,14 +772,12 @@ size_t OpDesc_Attr::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000005) ^ 0x00000005) ==
0) { // All required fields are present.
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
// required .paddle_mobile.framework.proto.AttrType type =
// 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->type());
} else {
......@@ -805,8 +786,7 @@ size_t OpDesc_Attr::ByteSizeLong() const {
// repeated int32 ints = 6;
{
size_t data_size =
::google::protobuf::internal::WireFormatLite::Int32Size(
this->ints_);
::google::protobuf::internal::WireFormatLite::Int32Size(this->ints_);
total_size +=
1 * ::google::protobuf::internal::FromIntSize(this->ints_size());
total_size += data_size;
......@@ -841,15 +821,13 @@ size_t OpDesc_Attr::ByteSizeLong() const {
// optional string s = 5;
if (has_s()) {
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::StringSize(this->s());
1 + ::google::protobuf::internal::WireFormatLite::StringSize(this->s());
}
if (_has_bits_[0 / 32] & 248u) {
// optional int32 i = 3;
if (has_i()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->i());
}
......@@ -865,15 +843,13 @@ size_t OpDesc_Attr::ByteSizeLong() const {
// optional int64 l = 13;
if (has_l()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int64Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int64Size(
this->l());
}
// optional int32 block_idx = 12;
if (has_block_idx()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->block_idx());
}
}
......@@ -998,15 +974,14 @@ const ::std::string &OpDesc_Attr::name() const {
}
void OpDesc_Attr::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
#if LANG_CXX11
void OpDesc_Attr::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
......@@ -1014,15 +989,13 @@ void OpDesc_Attr::set_name(::std::string &&value) {
void OpDesc_Attr::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
void OpDesc_Attr::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
......@@ -1246,8 +1219,7 @@ void OpDesc_Attr::set_strings(int index, const char *value) {
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpDesc.Attr.strings)
}
void OpDesc_Attr::set_strings(int index, const char *value, size_t size) {
strings_.Mutable(index)->assign(reinterpret_cast<const char *>(value),
size);
strings_.Mutable(index)->assign(reinterpret_cast<const char *>(value), size);
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpDesc.Attr.strings)
}
::std::string *OpDesc_Attr::add_strings() {
......@@ -1466,8 +1438,8 @@ bool OpDesc_Var::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required string parameter = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
......@@ -1545,8 +1517,7 @@ size_t OpDesc_Var::ByteSizeLong() const {
// required string parameter = 1;
if (has_parameter()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->parameter());
}
// repeated string arguments = 2;
......@@ -1684,8 +1655,7 @@ void OpDesc_Var::set_allocated_parameter(::std::string *parameter) {
clear_has_parameter();
}
parameter_.SetAllocatedNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
parameter);
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), parameter);
// @@protoc_insertion_point(field_set_allocated:paddle_mobile.framework.proto.OpDesc.Var.parameter)
}
......@@ -1864,15 +1834,15 @@ bool OpDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// repeated .paddle_mobile.framework.proto.OpDesc.Var inputs
// = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(10u /* 10 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_inputs()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_inputs()));
} else {
goto handle_unusual;
}
......@@ -1884,8 +1854,8 @@ bool OpDesc::MergePartialFromCodedStream(
case 2: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_outputs()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_outputs()));
} else {
goto handle_unusual;
}
......@@ -1909,8 +1879,8 @@ bool OpDesc::MergePartialFromCodedStream(
case 4: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(34u /* 34 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_attrs()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_attrs()));
} else {
goto handle_unusual;
}
......@@ -1922,10 +1892,9 @@ bool OpDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(40u /* 40 & 0xFF */)) {
set_has_is_target();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &is_target_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &is_target_)));
} else {
goto handle_unusual;
}
......@@ -1968,8 +1937,7 @@ void OpDesc::SerializeWithCachedSizes(
// repeated .paddle_mobile.framework.proto.OpDesc.Var outputs =
// 2;
for (unsigned int i = 0,
n = static_cast<unsigned int>(this->outputs_size());
for (unsigned int i = 0, n = static_cast<unsigned int>(this->outputs_size());
i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteMessage(
2, this->outputs(static_cast<int>(i)), output);
......@@ -2010,8 +1978,7 @@ size_t OpDesc::ByteSizeLong() const {
// required string type = 3;
if (has_type()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->type());
}
// repeated .paddle_mobile.framework.proto.OpDesc.Var inputs =
......@@ -2020,8 +1987,9 @@ size_t OpDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->inputs_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->inputs(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->inputs(static_cast<int>(i)));
}
}
......@@ -2031,8 +1999,9 @@ size_t OpDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->outputs_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->outputs(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->outputs(static_cast<int>(i)));
}
}
......@@ -2042,8 +2011,9 @@ size_t OpDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->attrs_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->attrs(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->attrs(static_cast<int>(i)));
}
}
......@@ -2148,15 +2118,14 @@ const ::std::string &OpDesc::type() const {
}
void OpDesc::set_type(const ::std::string &value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpDesc.type)
}
#if LANG_CXX11
void OpDesc::set_type(::std::string &&value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpDesc.type)
}
......@@ -2164,15 +2133,13 @@ void OpDesc::set_type(::std::string &&value) {
void OpDesc::set_type(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpDesc.type)
}
void OpDesc::set_type(const char *value, size_t size) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpDesc.type)
}
......@@ -2445,8 +2412,8 @@ bool OpProto_Var::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required string name = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
......@@ -2476,10 +2443,9 @@ bool OpProto_Var::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(24u /* 24 & 0xFF */)) {
set_has_duplicable();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &duplicable_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &duplicable_)));
} else {
goto handle_unusual;
}
......@@ -2491,10 +2457,9 @@ bool OpProto_Var::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(32u /* 32 & 0xFF */)) {
set_has_intermediate();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &intermediate_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &intermediate_)));
} else {
goto handle_unusual;
}
......@@ -2506,10 +2471,9 @@ bool OpProto_Var::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(40u /* 40 & 0xFF */)) {
set_has_dispensable();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &dispensable_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &dispensable_)));
} else {
goto handle_unusual;
}
......@@ -2585,15 +2549,13 @@ size_t OpProto_Var::RequiredFieldsByteSizeFallback() const {
if (has_name()) {
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
}
if (has_comment()) {
// required string comment = 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->comment());
}
......@@ -2608,13 +2570,11 @@ size_t OpProto_Var::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000003) ^ 0x00000003) ==
0) { // All required fields are present.
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
// required string comment = 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->comment());
} else {
......@@ -2737,15 +2697,14 @@ const ::std::string &OpProto_Var::name() const {
}
void OpProto_Var::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpProto.Var.name)
}
#if LANG_CXX11
void OpProto_Var::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpProto.Var.name)
}
......@@ -2753,15 +2712,13 @@ void OpProto_Var::set_name(::std::string &&value) {
void OpProto_Var::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpProto.Var.name)
}
void OpProto_Var::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpProto.Var.name)
}
......@@ -3051,8 +3008,8 @@ bool OpProto_Attr::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required string name = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
......@@ -3071,15 +3028,12 @@ bool OpProto_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
int value;
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::
TYPE_ENUM>(input, &value)));
if (::paddle_mobile::framework::proto::AttrType_IsValid(
value)) {
set_type(static_cast<
::paddle_mobile::framework::proto::AttrType>(
value));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
if (::paddle_mobile::framework::proto::AttrType_IsValid(value)) {
set_type(
static_cast<::paddle_mobile::framework::proto::AttrType>(value));
} else {
unknown_fields_stream.WriteVarint32(16u);
unknown_fields_stream.WriteVarint32(
......@@ -3108,10 +3062,9 @@ bool OpProto_Attr::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(32u /* 32 & 0xFF */)) {
set_has_generated();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &generated_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &generated_)));
} else {
goto handle_unusual;
}
......@@ -3181,23 +3134,20 @@ size_t OpProto_Attr::RequiredFieldsByteSizeFallback() const {
if (has_name()) {
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
}
if (has_comment()) {
// required string comment = 3;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->comment());
}
if (has_type()) {
// required .paddle_mobile.framework.proto.AttrType type =
// 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->type());
}
......@@ -3212,19 +3162,16 @@ size_t OpProto_Attr::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000007) ^ 0x00000007) ==
0) { // All required fields are present.
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
// required string comment = 3;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->comment());
// required .paddle_mobile.framework.proto.AttrType type =
// 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->type());
} else {
......@@ -3332,15 +3279,14 @@ const ::std::string &OpProto_Attr::name() const {
}
void OpProto_Attr::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpProto.Attr.name)
}
#if LANG_CXX11
void OpProto_Attr::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpProto.Attr.name)
}
......@@ -3348,15 +3294,13 @@ void OpProto_Attr::set_name(::std::string &&value) {
void OpProto_Attr::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpProto.Attr.name)
}
void OpProto_Attr::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpProto.Attr.name)
}
......@@ -3618,8 +3562,8 @@ bool OpProto::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required string type = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
......@@ -3637,8 +3581,8 @@ bool OpProto::MergePartialFromCodedStream(
case 2: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_inputs()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_inputs()));
} else {
goto handle_unusual;
}
......@@ -3650,8 +3594,8 @@ bool OpProto::MergePartialFromCodedStream(
case 3: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(26u /* 26 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_outputs()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_outputs()));
} else {
goto handle_unusual;
}
......@@ -3663,8 +3607,8 @@ bool OpProto::MergePartialFromCodedStream(
case 4: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(34u /* 34 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_attrs()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_attrs()));
} else {
goto handle_unusual;
}
......@@ -3726,8 +3670,7 @@ void OpProto::SerializeWithCachedSizes(
// repeated .paddle_mobile.framework.proto.OpProto.Var outputs =
// 3;
for (unsigned int i = 0,
n = static_cast<unsigned int>(this->outputs_size());
for (unsigned int i = 0, n = static_cast<unsigned int>(this->outputs_size());
i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteMessage(
3, this->outputs(static_cast<int>(i)), output);
......@@ -3759,15 +3702,13 @@ size_t OpProto::RequiredFieldsByteSizeFallback() const {
if (has_type()) {
// required string type = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->type());
}
if (has_comment()) {
// required string comment = 5;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->comment());
}
......@@ -3782,13 +3723,11 @@ size_t OpProto::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000003) ^ 0x00000003) ==
0) { // All required fields are present.
// required string type = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->type());
// required string comment = 5;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->comment());
} else {
......@@ -3800,8 +3739,9 @@ size_t OpProto::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->inputs_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->inputs(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->inputs(static_cast<int>(i)));
}
}
......@@ -3811,8 +3751,9 @@ size_t OpProto::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->outputs_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->outputs(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->outputs(static_cast<int>(i)));
}
}
......@@ -3822,8 +3763,9 @@ size_t OpProto::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->attrs_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->attrs(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->attrs(static_cast<int>(i)));
}
}
......@@ -3925,15 +3867,14 @@ const ::std::string &OpProto::type() const {
}
void OpProto::set_type(const ::std::string &value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpProto.type)
}
#if LANG_CXX11
void OpProto::set_type(::std::string &&value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpProto.type)
}
......@@ -3941,15 +3882,13 @@ void OpProto::set_type(::std::string &&value) {
void OpProto::set_type(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpProto.type)
}
void OpProto::set_type(const char *value, size_t size) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpProto.type)
}
......@@ -4220,23 +4159,20 @@ bool VarType_TensorDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required .paddle_mobile.framework.proto.VarType.Type
// data_type = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
int value;
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::
TYPE_ENUM>(input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(
value)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(value)) {
set_data_type(
static_cast<
::paddle_mobile::framework::proto::VarType_Type>(
static_cast<::paddle_mobile::framework::proto::VarType_Type>(
value));
} else {
unknown_fields_stream.WriteVarint32(8u);
......@@ -4253,19 +4189,18 @@ bool VarType_TensorDesc::MergePartialFromCodedStream(
case 2: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadRepeatedPrimitive<::google::protobuf::int64,
::google::protobuf::internal::
WireFormatLite::TYPE_INT64>(
DO_((
::google::protobuf::internal::WireFormatLite::ReadRepeatedPrimitive<
::google::protobuf::int64,
::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
1, 16u, input, this->mutable_dims())));
} else if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(
18u /* 18 & 0xFF */)) {
static_cast<::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadPackedPrimitiveNoInline<
::google::protobuf::int64,
::google::protobuf::internal::WireFormatLite::
TYPE_INT64>(input, this->mutable_dims())));
::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
input, this->mutable_dims())));
} else {
goto handle_unusual;
}
......@@ -4308,8 +4243,8 @@ void VarType_TensorDesc::SerializeWithCachedSizes(
// repeated int64 dims = 2;
for (int i = 0, n = this->dims_size(); i < n; i++) {
::google::protobuf::internal::WireFormatLite::WriteInt64(
2, this->dims(i), output);
::google::protobuf::internal::WireFormatLite::WriteInt64(2, this->dims(i),
output);
}
output->WriteRaw(
......@@ -4327,15 +4262,13 @@ size_t VarType_TensorDesc::ByteSizeLong() const {
// required .paddle_mobile.framework.proto.VarType.Type
// data_type = 1;
if (has_data_type()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->data_type());
}
// repeated int64 dims = 2;
{
size_t data_size =
::google::protobuf::internal::WireFormatLite::Int64Size(
this->dims_);
::google::protobuf::internal::WireFormatLite::Int64Size(this->dims_);
total_size +=
1 * ::google::protobuf::internal::FromIntSize(this->dims_size());
total_size += data_size;
......@@ -4350,8 +4283,7 @@ size_t VarType_TensorDesc::ByteSizeLong() const {
void VarType_TensorDesc::CheckTypeAndMergeFrom(
const ::google::protobuf::MessageLite &from) {
MergeFrom(
*::google::protobuf::down_cast<const VarType_TensorDesc *>(&from));
MergeFrom(*::google::protobuf::down_cast<const VarType_TensorDesc *>(&from));
}
void VarType_TensorDesc::MergeFrom(const VarType_TensorDesc &from) {
......@@ -4558,16 +4490,16 @@ bool VarType_LoDTensorDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required
// .paddle_mobile.framework.proto.VarType.TensorDesc tensor
// = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(10u /* 10 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_tensor()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_tensor()));
} else {
goto handle_unusual;
}
......@@ -4579,11 +4511,10 @@ bool VarType_LoDTensorDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
set_has_lod_level();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &lod_level_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, &lod_level_)));
} else {
goto handle_unusual;
}
......@@ -4646,14 +4577,12 @@ size_t VarType_LoDTensorDesc::ByteSizeLong() const {
// tensor = 1;
if (has_tensor()) {
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
1 + ::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->tensor_);
}
// optional int32 lod_level = 2 [default = 0];
if (has_lod_level()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->lod_level());
}
......@@ -4680,8 +4609,9 @@ void VarType_LoDTensorDesc::MergeFrom(const VarType_LoDTensorDesc &from) {
cached_has_bits = from._has_bits_[0];
if (cached_has_bits & 3u) {
if (cached_has_bits & 0x00000001u) {
mutable_tensor()->::paddle_mobile::framework::proto::
VarType_TensorDesc::MergeFrom(from.tensor());
mutable_tensor()
->::paddle_mobile::framework::proto::VarType_TensorDesc::MergeFrom(
from.tensor());
}
if (cached_has_bits & 0x00000002u) {
lod_level_ = from.lod_level_;
......@@ -4912,16 +4842,16 @@ bool VarType_LoDTensorArrayDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required
// .paddle_mobile.framework.proto.VarType.TensorDesc tensor
// = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(10u /* 10 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_tensor()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_tensor()));
} else {
goto handle_unusual;
}
......@@ -4933,11 +4863,10 @@ bool VarType_LoDTensorArrayDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
set_has_lod_level();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &lod_level_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, &lod_level_)));
} else {
goto handle_unusual;
}
......@@ -5000,14 +4929,12 @@ size_t VarType_LoDTensorArrayDesc::ByteSizeLong() const {
// tensor = 1;
if (has_tensor()) {
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
1 + ::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->tensor_);
}
// optional int32 lod_level = 2 [default = 0];
if (has_lod_level()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->lod_level());
}
......@@ -5020,8 +4947,7 @@ size_t VarType_LoDTensorArrayDesc::ByteSizeLong() const {
void VarType_LoDTensorArrayDesc::CheckTypeAndMergeFrom(
const ::google::protobuf::MessageLite &from) {
MergeFrom(
*::google::protobuf::down_cast<const VarType_LoDTensorArrayDesc *>(
MergeFrom(*::google::protobuf::down_cast<const VarType_LoDTensorArrayDesc *>(
&from));
}
......@@ -5036,8 +4962,9 @@ void VarType_LoDTensorArrayDesc::MergeFrom(
cached_has_bits = from._has_bits_[0];
if (cached_has_bits & 3u) {
if (cached_has_bits & 0x00000001u) {
mutable_tensor()->::paddle_mobile::framework::proto::
VarType_TensorDesc::MergeFrom(from.tensor());
mutable_tensor()
->::paddle_mobile::framework::proto::VarType_TensorDesc::MergeFrom(
from.tensor());
}
if (cached_has_bits & 0x00000002u) {
lod_level_ = from.lod_level_;
......@@ -5252,16 +5179,16 @@ bool VarType_ReaderDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// repeated
// .paddle_mobile.framework.proto.VarType.LoDTensorDesc
// lod_tensor = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(10u /* 10 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_lod_tensor()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_lod_tensor()));
} else {
goto handle_unusual;
}
......@@ -5323,8 +5250,9 @@ size_t VarType_ReaderDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->lod_tensor_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->lod_tensor(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->lod_tensor(static_cast<int>(i)));
}
}
......@@ -5337,8 +5265,7 @@ size_t VarType_ReaderDesc::ByteSizeLong() const {
void VarType_ReaderDesc::CheckTypeAndMergeFrom(
const ::google::protobuf::MessageLite &from) {
MergeFrom(
*::google::protobuf::down_cast<const VarType_ReaderDesc *>(&from));
MergeFrom(*::google::protobuf::down_cast<const VarType_ReaderDesc *>(&from));
}
void VarType_ReaderDesc::MergeFrom(const VarType_ReaderDesc &from) {
......@@ -5516,23 +5443,20 @@ bool VarType_ChannelDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required .paddle_mobile.framework.proto.VarType.Type
// data_type = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
int value;
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::
TYPE_ENUM>(input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(
value)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(value)) {
set_data_type(
static_cast<
::paddle_mobile::framework::proto::VarType_Type>(
static_cast<::paddle_mobile::framework::proto::VarType_Type>(
value));
} else {
unknown_fields_stream.WriteVarint32(8u);
......@@ -5550,11 +5474,10 @@ bool VarType_ChannelDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
set_has_capacity();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int64,
::google::protobuf::internal::WireFormatLite::
TYPE_INT64>(input, &capacity_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT64>(
input, &capacity_)));
} else {
goto handle_unusual;
}
......@@ -5613,16 +5536,14 @@ size_t VarType_ChannelDesc::RequiredFieldsByteSizeFallback() const {
if (has_capacity()) {
// required int64 capacity = 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int64Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int64Size(
this->capacity());
}
if (has_data_type()) {
// required .paddle_mobile.framework.proto.VarType.Type
// data_type = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->data_type());
}
......@@ -5637,14 +5558,12 @@ size_t VarType_ChannelDesc::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000003) ^ 0x00000003) ==
0) { // All required fields are present.
// required int64 capacity = 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int64Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int64Size(
this->capacity());
// required .paddle_mobile.framework.proto.VarType.Type
// data_type = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->data_type());
} else {
......@@ -5659,8 +5578,7 @@ size_t VarType_ChannelDesc::ByteSizeLong() const {
void VarType_ChannelDesc::CheckTypeAndMergeFrom(
const ::google::protobuf::MessageLite &from) {
MergeFrom(
*::google::protobuf::down_cast<const VarType_ChannelDesc *>(&from));
MergeFrom(*::google::protobuf::down_cast<const VarType_ChannelDesc *>(&from));
}
void VarType_ChannelDesc::MergeFrom(const VarType_ChannelDesc &from) {
......@@ -5848,23 +5766,20 @@ bool VarType_Tuple::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// repeated .paddle_mobile.framework.proto.VarType.Type
// element_type = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
int value;
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::
TYPE_ENUM>(input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(
value)) {
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(value)) {
add_element_type(
static_cast<
::paddle_mobile::framework::proto::VarType_Type>(
static_cast<::paddle_mobile::framework::proto::VarType_Type>(
value));
} else {
unknown_fields_stream.WriteVarint32(tag);
......@@ -5872,15 +5787,12 @@ bool VarType_Tuple::MergePartialFromCodedStream(
static_cast<::google::protobuf::uint32>(value));
}
} else if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(
10u /* 10 & 0xFF */)) {
static_cast<::google::protobuf::uint8>(10u /* 10 & 0xFF */)) {
DO_((::google::protobuf::internal::WireFormatLite::
ReadPackedEnumPreserveUnknowns(
input, 1,
::paddle_mobile::framework::proto::
VarType_Type_IsValid,
&unknown_fields_stream,
this->mutable_element_type())));
::paddle_mobile::framework::proto::VarType_Type_IsValid,
&unknown_fields_stream, this->mutable_element_type())));
} else {
goto handle_unusual;
}
......@@ -5936,8 +5848,7 @@ size_t VarType_Tuple::ByteSizeLong() const {
// element_type = 1;
{
size_t data_size = 0;
unsigned int count =
static_cast<unsigned int>(this->element_type_size());
unsigned int count = static_cast<unsigned int>(this->element_type_size());
for (unsigned int i = 0; i < count; i++) {
data_size += ::google::protobuf::internal::WireFormatLite::EnumSize(
this->element_type(static_cast<int>(i)));
......@@ -6056,15 +5967,13 @@ VarType::VarType(const VarType &from)
_has_bits_(from._has_bits_), _cached_size_(0) {
_internal_metadata_.MergeFrom(from._internal_metadata_);
if (from.has_selected_rows()) {
selected_rows_ =
new ::paddle_mobile::framework::proto::VarType_TensorDesc(
selected_rows_ = new ::paddle_mobile::framework::proto::VarType_TensorDesc(
*from.selected_rows_);
} else {
selected_rows_ = NULL;
}
if (from.has_lod_tensor()) {
lod_tensor_ =
new ::paddle_mobile::framework::proto::VarType_LoDTensorDesc(
lod_tensor_ = new ::paddle_mobile::framework::proto::VarType_LoDTensorDesc(
*from.lod_tensor_);
} else {
lod_tensor_ = NULL;
......@@ -6089,8 +5998,7 @@ VarType::VarType(const VarType &from)
channel_ = NULL;
}
if (from.has_tuple()) {
tuple_ =
new ::paddle_mobile::framework::proto::VarType_Tuple(*from.tuple_);
tuple_ = new ::paddle_mobile::framework::proto::VarType_Tuple(*from.tuple_);
} else {
tuple_ = NULL;
}
......@@ -6154,13 +6062,13 @@ void VarType::Clear() {
if (cached_has_bits & 63u) {
if (cached_has_bits & 0x00000001u) {
GOOGLE_DCHECK(selected_rows_ != NULL);
selected_rows_->::paddle_mobile::framework::proto::
VarType_TensorDesc::Clear();
selected_rows_
->::paddle_mobile::framework::proto::VarType_TensorDesc::Clear();
}
if (cached_has_bits & 0x00000002u) {
GOOGLE_DCHECK(lod_tensor_ != NULL);
lod_tensor_->::paddle_mobile::framework::proto::
VarType_LoDTensorDesc::Clear();
lod_tensor_
->::paddle_mobile::framework::proto::VarType_LoDTensorDesc::Clear();
}
if (cached_has_bits & 0x00000004u) {
GOOGLE_DCHECK(tensor_array_ != NULL);
......@@ -6169,13 +6077,11 @@ void VarType::Clear() {
}
if (cached_has_bits & 0x00000008u) {
GOOGLE_DCHECK(reader_ != NULL);
reader_->::paddle_mobile::framework::proto::VarType_ReaderDesc::
Clear();
reader_->::paddle_mobile::framework::proto::VarType_ReaderDesc::Clear();
}
if (cached_has_bits & 0x00000010u) {
GOOGLE_DCHECK(channel_ != NULL);
channel_->::paddle_mobile::framework::proto::VarType_ChannelDesc::
Clear();
channel_->::paddle_mobile::framework::proto::VarType_ChannelDesc::Clear();
}
if (cached_has_bits & 0x00000020u) {
GOOGLE_DCHECK(tuple_ != NULL);
......@@ -6207,22 +6113,19 @@ bool VarType::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required .paddle_mobile.framework.proto.VarType.Type type
// = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
int value;
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::
TYPE_ENUM>(input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(
value)) {
set_type(static_cast<
::paddle_mobile::framework::proto::VarType_Type>(
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
int, ::google::protobuf::internal::WireFormatLite::TYPE_ENUM>(
input, &value)));
if (::paddle_mobile::framework::proto::VarType_Type_IsValid(value)) {
set_type(static_cast<::paddle_mobile::framework::proto::VarType_Type>(
value));
} else {
unknown_fields_stream.WriteVarint32(8u);
......@@ -6241,8 +6144,8 @@ bool VarType::MergePartialFromCodedStream(
case 2: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_selected_rows()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_selected_rows()));
} else {
goto handle_unusual;
}
......@@ -6255,8 +6158,8 @@ bool VarType::MergePartialFromCodedStream(
case 3: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(26u /* 26 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_lod_tensor()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_lod_tensor()));
} else {
goto handle_unusual;
}
......@@ -6269,8 +6172,8 @@ bool VarType::MergePartialFromCodedStream(
case 4: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(34u /* 34 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_tensor_array()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_tensor_array()));
} else {
goto handle_unusual;
}
......@@ -6283,8 +6186,8 @@ bool VarType::MergePartialFromCodedStream(
case 5: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(42u /* 42 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_reader()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_reader()));
} else {
goto handle_unusual;
}
......@@ -6298,8 +6201,8 @@ bool VarType::MergePartialFromCodedStream(
case 6: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(50u /* 50 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_channel()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_channel()));
} else {
goto handle_unusual;
}
......@@ -6311,8 +6214,8 @@ bool VarType::MergePartialFromCodedStream(
case 7: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(58u /* 58 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_tuple()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_tuple()));
} else {
goto handle_unusual;
}
......@@ -6394,8 +6297,8 @@ void VarType::SerializeWithCachedSizes(
// optional .paddle_mobile.framework.proto.VarType.Tuple tuple =
// 7;
if (cached_has_bits & 0x00000020u) {
::google::protobuf::internal::WireFormatLite::WriteMessage(
7, *this->tuple_, output);
::google::protobuf::internal::WireFormatLite::WriteMessage(7, *this->tuple_,
output);
}
output->WriteRaw(
......@@ -6413,8 +6316,7 @@ size_t VarType::ByteSizeLong() const {
// required .paddle_mobile.framework.proto.VarType.Type type =
// 1;
if (has_type()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::EnumSize(
this->type());
}
if (_has_bits_[0 / 32] & 63u) {
......@@ -6423,8 +6325,10 @@ size_t VarType::ByteSizeLong() const {
// selected_rows
// = 2;
if (has_selected_rows()) {
total_size += 1 + ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(*this->selected_rows_);
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->selected_rows_);
}
// optional
......@@ -6432,39 +6336,49 @@ size_t VarType::ByteSizeLong() const {
// lod_tensor
// = 3;
if (has_lod_tensor()) {
total_size += 1 + ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(*this->lod_tensor_);
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->lod_tensor_);
}
// optional
// .paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc
// tensor_array = 4;
if (has_tensor_array()) {
total_size += 1 + ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(*this->tensor_array_);
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->tensor_array_);
}
// optional
// .paddle_mobile.framework.proto.VarType.ReaderDesc reader
// = 5;
if (has_reader()) {
total_size += 1 + ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(*this->reader_);
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->reader_);
}
// optional
// .paddle_mobile.framework.proto.VarType.ChannelDesc
// channel = 6;
if (has_channel()) {
total_size += 1 + ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(*this->channel_);
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->channel_);
}
// optional .paddle_mobile.framework.proto.VarType.Tuple
// tuple = 7;
if (has_tuple()) {
total_size += 1 + ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(*this->tuple_);
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->tuple_);
}
}
int cached_size = ::google::protobuf::internal::ToCachedSize(total_size);
......@@ -6489,24 +6403,28 @@ void VarType::MergeFrom(const VarType &from) {
cached_has_bits = from._has_bits_[0];
if (cached_has_bits & 127u) {
if (cached_has_bits & 0x00000001u) {
mutable_selected_rows()->::paddle_mobile::framework::proto::
VarType_TensorDesc::MergeFrom(from.selected_rows());
mutable_selected_rows()
->::paddle_mobile::framework::proto::VarType_TensorDesc::MergeFrom(
from.selected_rows());
}
if (cached_has_bits & 0x00000002u) {
mutable_lod_tensor()->::paddle_mobile::framework::proto::
VarType_LoDTensorDesc::MergeFrom(from.lod_tensor());
mutable_lod_tensor()
->::paddle_mobile::framework::proto::VarType_LoDTensorDesc::MergeFrom(
from.lod_tensor());
}
if (cached_has_bits & 0x00000004u) {
mutable_tensor_array()->::paddle_mobile::framework::proto::
VarType_LoDTensorArrayDesc::MergeFrom(from.tensor_array());
}
if (cached_has_bits & 0x00000008u) {
mutable_reader()->::paddle_mobile::framework::proto::
VarType_ReaderDesc::MergeFrom(from.reader());
mutable_reader()
->::paddle_mobile::framework::proto::VarType_ReaderDesc::MergeFrom(
from.reader());
}
if (cached_has_bits & 0x00000010u) {
mutable_channel()->::paddle_mobile::framework::proto::
VarType_ChannelDesc::MergeFrom(from.channel());
mutable_channel()
->::paddle_mobile::framework::proto::VarType_ChannelDesc::MergeFrom(
from.channel());
}
if (cached_has_bits & 0x00000020u) {
mutable_tuple()
......@@ -6628,8 +6546,7 @@ VarType::selected_rows() const {
VarType::mutable_selected_rows() {
set_has_selected_rows();
if (selected_rows_ == NULL) {
selected_rows_ =
new ::paddle_mobile::framework::proto::VarType_TensorDesc;
selected_rows_ = new ::paddle_mobile::framework::proto::VarType_TensorDesc;
}
// @@protoc_insertion_point(field_mutable:paddle_mobile.framework.proto.VarType.selected_rows)
return selected_rows_;
......@@ -6638,8 +6555,7 @@ VarType::mutable_selected_rows() {
VarType::release_selected_rows() {
// @@protoc_insertion_point(field_release:paddle_mobile.framework.proto.VarType.selected_rows)
clear_has_selected_rows();
::paddle_mobile::framework::proto::VarType_TensorDesc *temp =
selected_rows_;
::paddle_mobile::framework::proto::VarType_TensorDesc *temp = selected_rows_;
selected_rows_ = NULL;
return temp;
}
......@@ -6674,8 +6590,8 @@ VarType::lod_tensor() const {
lod_tensor_;
// @@protoc_insertion_point(field_get:paddle_mobile.framework.proto.VarType.lod_tensor)
return p != NULL ? *p
: *reinterpret_cast<const ::paddle_mobile::framework::
proto::VarType_LoDTensorDesc *>(
: *reinterpret_cast<const ::paddle_mobile::framework::proto::
VarType_LoDTensorDesc *>(
&::paddle_mobile::framework::proto::
_VarType_LoDTensorDesc_default_instance_);
}
......@@ -6683,8 +6599,7 @@ VarType::lod_tensor() const {
VarType::mutable_lod_tensor() {
set_has_lod_tensor();
if (lod_tensor_ == NULL) {
lod_tensor_ =
new ::paddle_mobile::framework::proto::VarType_LoDTensorDesc;
lod_tensor_ = new ::paddle_mobile::framework::proto::VarType_LoDTensorDesc;
}
// @@protoc_insertion_point(field_mutable:paddle_mobile.framework.proto.VarType.lod_tensor)
return lod_tensor_;
......@@ -6693,8 +6608,7 @@ VarType::mutable_lod_tensor() {
VarType::release_lod_tensor() {
// @@protoc_insertion_point(field_release:paddle_mobile.framework.proto.VarType.lod_tensor)
clear_has_lod_tensor();
::paddle_mobile::framework::proto::VarType_LoDTensorDesc *temp =
lod_tensor_;
::paddle_mobile::framework::proto::VarType_LoDTensorDesc *temp = lod_tensor_;
lod_tensor_ = NULL;
return temp;
}
......@@ -6729,8 +6643,7 @@ VarType::tensor_array() const {
const ::paddle_mobile::framework::proto::VarType_LoDTensorArrayDesc *p =
tensor_array_;
// @@protoc_insertion_point(field_get:paddle_mobile.framework.proto.VarType.tensor_array)
return p != NULL
? *p
return p != NULL ? *p
: *reinterpret_cast<const ::paddle_mobile::framework::proto::
VarType_LoDTensorArrayDesc *>(
&::paddle_mobile::framework::proto::
......@@ -6825,18 +6738,18 @@ void VarType::set_has_channel() { _has_bits_[0] |= 0x00000010u; }
void VarType::clear_has_channel() { _has_bits_[0] &= ~0x00000010u; }
void VarType::clear_channel() {
if (channel_ != NULL)
channel_
->::paddle_mobile::framework::proto::VarType_ChannelDesc::Clear();
channel_->::paddle_mobile::framework::proto::VarType_ChannelDesc::Clear();
clear_has_channel();
}
const ::paddle_mobile::framework::proto::VarType_ChannelDesc &
VarType::channel() const {
const ::paddle_mobile::framework::proto::VarType_ChannelDesc *p = channel_;
// @@protoc_insertion_point(field_get:paddle_mobile.framework.proto.VarType.channel)
return p != NULL ? *p
: *reinterpret_cast<const ::paddle_mobile::framework::
proto::VarType_ChannelDesc *>(
&::paddle_mobile::framework::proto::
return p != NULL
? *p
: *reinterpret_cast<
const ::paddle_mobile::framework::proto::VarType_ChannelDesc
*>(&::paddle_mobile::framework::proto::
_VarType_ChannelDesc_default_instance_);
}
::paddle_mobile::framework::proto::VarType_ChannelDesc *
......@@ -7035,8 +6948,8 @@ bool VarDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required string name = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
......@@ -7053,8 +6966,8 @@ bool VarDesc::MergePartialFromCodedStream(
case 2: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(18u /* 18 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, mutable_type()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, mutable_type()));
} else {
goto handle_unusual;
}
......@@ -7066,10 +6979,9 @@ bool VarDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(24u /* 24 & 0xFF */)) {
set_has_persistable();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::
TYPE_BOOL>(input, &persistable_)));
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
bool, ::google::protobuf::internal::WireFormatLite::TYPE_BOOL>(
input, &persistable_)));
} else {
goto handle_unusual;
}
......@@ -7111,8 +7023,8 @@ void VarDesc::SerializeWithCachedSizes(
// required .paddle_mobile.framework.proto.VarType type = 2;
if (cached_has_bits & 0x00000002u) {
::google::protobuf::internal::WireFormatLite::WriteMessage(
2, *this->type_, output);
::google::protobuf::internal::WireFormatLite::WriteMessage(2, *this->type_,
output);
}
// optional bool persistable = 3 [default = false];
......@@ -7133,16 +7045,14 @@ size_t VarDesc::RequiredFieldsByteSizeFallback() const {
if (has_name()) {
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
}
if (has_type()) {
// required .paddle_mobile.framework.proto.VarType type = 2;
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
1 + ::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->type_);
}
......@@ -7157,14 +7067,12 @@ size_t VarDesc::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000003) ^ 0x00000003) ==
0) { // All required fields are present.
// required string name = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::StringSize(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::StringSize(
this->name());
// required .paddle_mobile.framework.proto.VarType type = 2;
total_size +=
1 +
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
1 + ::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
*this->type_);
} else {
......@@ -7203,8 +7111,7 @@ void VarDesc::MergeFrom(const VarDesc &from) {
from.name_);
}
if (cached_has_bits & 0x00000002u) {
mutable_type()
->::paddle_mobile::framework::proto::VarType::MergeFrom(
mutable_type()->::paddle_mobile::framework::proto::VarType::MergeFrom(
from.type());
}
if (cached_has_bits & 0x00000004u) {
......@@ -7269,15 +7176,14 @@ const ::std::string &VarDesc::name() const {
}
void VarDesc::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.VarDesc.name)
}
#if LANG_CXX11
void VarDesc::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.VarDesc.name)
}
......@@ -7285,15 +7191,13 @@ void VarDesc::set_name(::std::string &&value) {
void VarDesc::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.VarDesc.name)
}
void VarDesc::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.VarDesc.name)
}
......@@ -7491,18 +7395,17 @@ bool BlockDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// required int32 idx = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(8u /* 8 & 0xFF */)) {
set_has_idx();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &idx_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(input,
&idx_)));
} else {
goto handle_unusual;
}
......@@ -7514,11 +7417,10 @@ bool BlockDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(16u /* 16 & 0xFF */)) {
set_has_parent_idx();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &parent_idx_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, &parent_idx_)));
} else {
goto handle_unusual;
}
......@@ -7529,8 +7431,8 @@ bool BlockDesc::MergePartialFromCodedStream(
case 3: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(26u /* 26 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_vars()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_vars()));
} else {
goto handle_unusual;
}
......@@ -7541,8 +7443,8 @@ bool BlockDesc::MergePartialFromCodedStream(
case 4: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(34u /* 34 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_ops()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_ops()));
} else {
goto handle_unusual;
}
......@@ -7554,11 +7456,10 @@ bool BlockDesc::MergePartialFromCodedStream(
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(40u /* 40 & 0xFF */)) {
set_has_forward_block_idx();
DO_((
::google::protobuf::internal::WireFormatLite::ReadPrimitive<
DO_((::google::protobuf::internal::WireFormatLite::ReadPrimitive<
::google::protobuf::int32,
::google::protobuf::internal::WireFormatLite::
TYPE_INT32>(input, &forward_block_idx_)));
::google::protobuf::internal::WireFormatLite::TYPE_INT32>(
input, &forward_block_idx_)));
} else {
goto handle_unusual;
}
......@@ -7636,15 +7537,13 @@ size_t BlockDesc::RequiredFieldsByteSizeFallback() const {
if (has_idx()) {
// required int32 idx = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->idx());
}
if (has_parent_idx()) {
// required int32 parent_idx = 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->parent_idx());
}
......@@ -7659,13 +7558,11 @@ size_t BlockDesc::ByteSizeLong() const {
if (((_has_bits_[0] & 0x00000003) ^ 0x00000003) ==
0) { // All required fields are present.
// required int32 idx = 1;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->idx());
// required int32 parent_idx = 2;
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->parent_idx());
} else {
......@@ -7676,8 +7573,9 @@ size_t BlockDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->vars_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->vars(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->vars(static_cast<int>(i)));
}
}
......@@ -7686,15 +7584,15 @@ size_t BlockDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->ops_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->ops(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->ops(static_cast<int>(i)));
}
}
// optional int32 forward_block_idx = 5 [default = -1];
if (has_forward_block_idx()) {
total_size +=
1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
total_size += 1 + ::google::protobuf::internal::WireFormatLite::Int32Size(
this->forward_block_idx());
}
......@@ -7971,15 +7869,15 @@ bool ProgramDesc::MergePartialFromCodedStream(
tag = p.first;
if (!p.second)
goto handle_unusual;
switch (::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(
tag)) {
switch (
::google::protobuf::internal::WireFormatLite::GetTagFieldNumber(tag)) {
// repeated .paddle_mobile.framework.proto.BlockDesc blocks
// = 1;
case 1: {
if (static_cast<::google::protobuf::uint8>(tag) ==
static_cast<::google::protobuf::uint8>(10u /* 10 & 0xFF */)) {
DO_(::google::protobuf::internal::WireFormatLite::
ReadMessageNoVirtual(input, add_blocks()));
DO_(::google::protobuf::internal::WireFormatLite::ReadMessageNoVirtual(
input, add_blocks()));
} else {
goto handle_unusual;
}
......@@ -8036,8 +7934,9 @@ size_t ProgramDesc::ByteSizeLong() const {
unsigned int count = static_cast<unsigned int>(this->blocks_size());
total_size += 1UL * count;
for (unsigned int i = 0; i < count; i++) {
total_size += ::google::protobuf::internal::WireFormatLite::
MessageSizeNoVirtual(this->blocks(static_cast<int>(i)));
total_size +=
::google::protobuf::internal::WireFormatLite::MessageSizeNoVirtual(
this->blocks(static_cast<int>(i)));
}
}
......
src/framework/framework.pb.h
浏览文件 @ 1ad8f821
......@@ -160,7 +160,7 @@ class OpDesc_Attr
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.OpDesc.Attr)
*/
{
public:
public:
OpDesc_Attr();
virtual ~OpDesc_Attr();
......@@ -224,17 +224,17 @@ class OpDesc_Attr
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(OpDesc_Attr *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -252,8 +252,7 @@ class OpDesc_Attr
void add_ints(::google::protobuf::int32 value);
const ::google::protobuf::RepeatedField<::google::protobuf::int32> &
ints() const;
::google::protobuf::RepeatedField<::google::protobuf::int32> *
mutable_ints();
::google::protobuf::RepeatedField<::google::protobuf::int32> *mutable_ints();
// repeated float floats = 7;
int floats_size() const;
......@@ -370,7 +369,7 @@ class OpDesc_Attr
void set_block_idx(::google::protobuf::int32 value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpDesc.Attr)
private:
private:
void set_has_name();
void clear_has_name();
void set_has_type();
......@@ -416,7 +415,7 @@ class OpDesc_Var
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.OpDesc.Var)
*/
{
public:
public:
OpDesc_Var();
virtual ~OpDesc_Var();
......@@ -451,8 +450,7 @@ class OpDesc_Var
static const OpDesc_Var &default_instance();
static inline const OpDesc_Var *internal_default_instance() {
return reinterpret_cast<const OpDesc_Var *>(
&_OpDesc_Var_default_instance_);
return reinterpret_cast<const OpDesc_Var *>(&_OpDesc_Var_default_instance_);
}
static PROTOBUF_CONSTEXPR int const kIndexInFileMessages = 1;
......@@ -480,17 +478,17 @@ class OpDesc_Var
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(OpDesc_Var *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -518,8 +516,7 @@ class OpDesc_Var
#endif
void add_arguments(const char *value);
void add_arguments(const char *value, size_t size);
const ::google::protobuf::RepeatedPtrField<::std::string> &
arguments() const;
const ::google::protobuf::RepeatedPtrField<::std::string> &arguments() const;
::google::protobuf::RepeatedPtrField<::std::string> *mutable_arguments();
// required string parameter = 1;
......@@ -538,7 +535,7 @@ class OpDesc_Var
void set_allocated_parameter(::std::string *parameter);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpDesc.Var)
private:
private:
void set_has_parameter();
void clear_has_parameter();
......@@ -557,7 +554,7 @@ class OpDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.OpDesc)
*/
{
public:
public:
OpDesc();
virtual ~OpDesc();
......@@ -618,17 +615,17 @@ class OpDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(OpDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -645,8 +642,7 @@ class OpDesc
int inputs_size() const;
void clear_inputs();
static const int kInputsFieldNumber = 1;
const ::paddle_mobile::framework::proto::OpDesc_Var &
inputs(int index) const;
const ::paddle_mobile::framework::proto::OpDesc_Var &inputs(int index) const;
::paddle_mobile::framework::proto::OpDesc_Var *mutable_inputs(int index);
::paddle_mobile::framework::proto::OpDesc_Var *add_inputs();
::google::protobuf::RepeatedPtrField<
......@@ -661,8 +657,7 @@ class OpDesc
int outputs_size() const;
void clear_outputs();
static const int kOutputsFieldNumber = 2;
const ::paddle_mobile::framework::proto::OpDesc_Var &
outputs(int index) const;
const ::paddle_mobile::framework::proto::OpDesc_Var &outputs(int index) const;
::paddle_mobile::framework::proto::OpDesc_Var *mutable_outputs(int index);
::paddle_mobile::framework::proto::OpDesc_Var *add_outputs();
::google::protobuf::RepeatedPtrField<
......@@ -677,8 +672,7 @@ class OpDesc
int attrs_size() const;
void clear_attrs();
static const int kAttrsFieldNumber = 4;
const ::paddle_mobile::framework::proto::OpDesc_Attr &
attrs(int index) const;
const ::paddle_mobile::framework::proto::OpDesc_Attr &attrs(int index) const;
::paddle_mobile::framework::proto::OpDesc_Attr *mutable_attrs(int index);
::paddle_mobile::framework::proto::OpDesc_Attr *add_attrs();
::google::protobuf::RepeatedPtrField<
......@@ -711,7 +705,7 @@ class OpDesc
void set_is_target(bool value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpDesc)
private:
private:
void set_has_type();
void clear_has_type();
void set_has_is_target();
......@@ -741,7 +735,7 @@ class OpProto_Var
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.OpProto.Var)
*/
{
public:
public:
OpProto_Var();
virtual ~OpProto_Var();
......@@ -805,17 +799,17 @@ class OpProto_Var
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(OpProto_Var *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -876,7 +870,7 @@ class OpProto_Var
void set_dispensable(bool value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpProto.Var)
private:
private:
void set_has_name();
void clear_has_name();
void set_has_comment();
......@@ -909,7 +903,7 @@ class OpProto_Attr
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.OpProto.Attr)
*/
{
public:
public:
OpProto_Attr();
virtual ~OpProto_Attr();
......@@ -973,17 +967,17 @@ class OpProto_Attr
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(OpProto_Attr *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1037,7 +1031,7 @@ class OpProto_Attr
void set_generated(bool value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpProto.Attr)
private:
private:
void set_has_name();
void clear_has_name();
void set_has_type();
......@@ -1067,7 +1061,7 @@ class OpProto
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.OpProto)
*/
{
public:
public:
OpProto();
virtual ~OpProto();
......@@ -1128,17 +1122,17 @@ class OpProto
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(OpProto *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1155,8 +1149,7 @@ class OpProto
int inputs_size() const;
void clear_inputs();
static const int kInputsFieldNumber = 2;
const ::paddle_mobile::framework::proto::OpProto_Var &
inputs(int index) const;
const ::paddle_mobile::framework::proto::OpProto_Var &inputs(int index) const;
::paddle_mobile::framework::proto::OpProto_Var *mutable_inputs(int index);
::paddle_mobile::framework::proto::OpProto_Var *add_inputs();
::google::protobuf::RepeatedPtrField<
......@@ -1187,8 +1180,7 @@ class OpProto
int attrs_size() const;
void clear_attrs();
static const int kAttrsFieldNumber = 4;
const ::paddle_mobile::framework::proto::OpProto_Attr &
attrs(int index) const;
const ::paddle_mobile::framework::proto::OpProto_Attr &attrs(int index) const;
::paddle_mobile::framework::proto::OpProto_Attr *mutable_attrs(int index);
::paddle_mobile::framework::proto::OpProto_Attr *add_attrs();
::google::protobuf::RepeatedPtrField<
......@@ -1229,7 +1221,7 @@ class OpProto
void set_allocated_comment(::std::string *comment);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpProto)
private:
private:
void set_has_type();
void clear_has_type();
void set_has_comment();
......@@ -1262,7 +1254,7 @@ class VarType_TensorDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType.TensorDesc)
*/
{
public:
public:
VarType_TensorDesc();
virtual ~VarType_TensorDesc();
......@@ -1304,9 +1296,7 @@ class VarType_TensorDesc
static PROTOBUF_CONSTEXPR int const kIndexInFileMessages = 6;
void Swap(VarType_TensorDesc *other);
friend void swap(VarType_TensorDesc &a, VarType_TensorDesc &b) {
a.Swap(&b);
}
friend void swap(VarType_TensorDesc &a, VarType_TensorDesc &b) { a.Swap(&b); }
// implements Message
// ----------------------------------------------
......@@ -1330,17 +1320,17 @@ class VarType_TensorDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType_TensorDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1358,8 +1348,7 @@ class VarType_TensorDesc
void add_dims(::google::protobuf::int64 value);
const ::google::protobuf::RepeatedField<::google::protobuf::int64> &
dims() const;
::google::protobuf::RepeatedField<::google::protobuf::int64> *
mutable_dims();
::google::protobuf::RepeatedField<::google::protobuf::int64> *mutable_dims();
// required .paddle_mobile.framework.proto.VarType.Type
// data_type = 1;
......@@ -1370,7 +1359,7 @@ class VarType_TensorDesc
void set_data_type(::paddle_mobile::framework::proto::VarType_Type value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.TensorDesc)
private:
private:
void set_has_data_type();
void clear_has_data_type();
......@@ -1389,7 +1378,7 @@ class VarType_LoDTensorDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType.LoDTensorDesc)
*/
{
public:
public:
VarType_LoDTensorDesc();
virtual ~VarType_LoDTensorDesc();
......@@ -1439,9 +1428,7 @@ class VarType_LoDTensorDesc
// implements Message
// ----------------------------------------------
inline VarType_LoDTensorDesc *New() const PROTOBUF_FINAL {
return New(NULL);
}
inline VarType_LoDTensorDesc *New() const PROTOBUF_FINAL { return New(NULL); }
VarType_LoDTensorDesc *
New(::google::protobuf::Arena *arena) const PROTOBUF_FINAL;
......@@ -1460,17 +1447,17 @@ class VarType_LoDTensorDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType_LoDTensorDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1498,7 +1485,7 @@ class VarType_LoDTensorDesc
void set_lod_level(::google::protobuf::int32 value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.LoDTensorDesc)
private:
private:
void set_has_tensor();
void clear_has_tensor();
void set_has_lod_level();
......@@ -1519,7 +1506,7 @@ class VarType_LoDTensorArrayDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc)
*/
{
public:
public:
VarType_LoDTensorArrayDesc();
virtual ~VarType_LoDTensorArrayDesc();
......@@ -1556,8 +1543,7 @@ class VarType_LoDTensorArrayDesc
static const VarType_LoDTensorArrayDesc &default_instance();
static inline const VarType_LoDTensorArrayDesc *
internal_default_instance() {
static inline const VarType_LoDTensorArrayDesc *internal_default_instance() {
return reinterpret_cast<const VarType_LoDTensorArrayDesc *>(
&_VarType_LoDTensorArrayDesc_default_instance_);
}
......@@ -1593,17 +1579,17 @@ class VarType_LoDTensorArrayDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType_LoDTensorArrayDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1631,7 +1617,7 @@ class VarType_LoDTensorArrayDesc
void set_lod_level(::google::protobuf::int32 value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc)
private:
private:
void set_has_tensor();
void clear_has_tensor();
void set_has_lod_level();
......@@ -1652,7 +1638,7 @@ class VarType_ReaderDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType.ReaderDesc)
*/
{
public:
public:
VarType_ReaderDesc();
virtual ~VarType_ReaderDesc();
......@@ -1694,9 +1680,7 @@ class VarType_ReaderDesc
static PROTOBUF_CONSTEXPR int const kIndexInFileMessages = 9;
void Swap(VarType_ReaderDesc *other);
friend void swap(VarType_ReaderDesc &a, VarType_ReaderDesc &b) {
a.Swap(&b);
}
friend void swap(VarType_ReaderDesc &a, VarType_ReaderDesc &b) { a.Swap(&b); }
// implements Message
// ----------------------------------------------
......@@ -1720,17 +1704,17 @@ class VarType_ReaderDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType_ReaderDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1758,7 +1742,7 @@ class VarType_ReaderDesc
lod_tensor() const;
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.ReaderDesc)
private:
private:
::google::protobuf::internal::InternalMetadataWithArenaLite
_internal_metadata_;
::google::protobuf::internal::HasBits<1> _has_bits_;
......@@ -1775,7 +1759,7 @@ class VarType_ChannelDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType.ChannelDesc)
*/
{
public:
public:
VarType_ChannelDesc();
virtual ~VarType_ChannelDesc();
......@@ -1843,17 +1827,17 @@ class VarType_ChannelDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType_ChannelDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1878,7 +1862,7 @@ class VarType_ChannelDesc
void set_data_type(::paddle_mobile::framework::proto::VarType_Type value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.ChannelDesc)
private:
private:
void set_has_data_type();
void clear_has_data_type();
void set_has_capacity();
......@@ -1902,7 +1886,7 @@ class VarType_Tuple
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType.Tuple)
*/
{
public:
public:
VarType_Tuple();
virtual ~VarType_Tuple();
......@@ -1966,17 +1950,17 @@ class VarType_Tuple
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType_Tuple *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -1990,18 +1974,15 @@ class VarType_Tuple
int element_type_size() const;
void clear_element_type();
static const int kElementTypeFieldNumber = 1;
::paddle_mobile::framework::proto::VarType_Type
element_type(int index) const;
void
set_element_type(int index,
::paddle_mobile::framework::proto::VarType_Type element_type(int index) const;
void set_element_type(int index,
::paddle_mobile::framework::proto::VarType_Type value);
void
add_element_type(::paddle_mobile::framework::proto::VarType_Type value);
void add_element_type(::paddle_mobile::framework::proto::VarType_Type value);
const ::google::protobuf::RepeatedField<int> &element_type() const;
::google::protobuf::RepeatedField<int> *mutable_element_type();
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.Tuple)
private:
private:
::google::protobuf::internal::InternalMetadataWithArenaLite
_internal_metadata_;
::google::protobuf::internal::HasBits<1> _has_bits_;
......@@ -2016,7 +1997,7 @@ class VarType
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarType)
*/
{
public:
public:
VarType();
virtual ~VarType();
......@@ -2077,17 +2058,17 @@ class VarType
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarType *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -2192,8 +2173,7 @@ class VarType
bool has_channel() const;
void clear_channel();
static const int kChannelFieldNumber = 6;
const ::paddle_mobile::framework::proto::VarType_ChannelDesc &
channel() const;
const ::paddle_mobile::framework::proto::VarType_ChannelDesc &channel() const;
::paddle_mobile::framework::proto::VarType_ChannelDesc *mutable_channel();
::paddle_mobile::framework::proto::VarType_ChannelDesc *release_channel();
void set_allocated_channel(
......@@ -2207,8 +2187,8 @@ class VarType
const ::paddle_mobile::framework::proto::VarType_Tuple &tuple() const;
::paddle_mobile::framework::proto::VarType_Tuple *mutable_tuple();
::paddle_mobile::framework::proto::VarType_Tuple *release_tuple();
void set_allocated_tuple(
::paddle_mobile::framework::proto::VarType_Tuple *tuple);
void
set_allocated_tuple(::paddle_mobile::framework::proto::VarType_Tuple *tuple);
// required .paddle_mobile.framework.proto.VarType.Type type =
// 1;
......@@ -2219,7 +2199,7 @@ class VarType
void set_type(::paddle_mobile::framework::proto::VarType_Type value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType)
private:
private:
void set_has_type();
void clear_has_type();
void set_has_selected_rows();
......@@ -2241,8 +2221,7 @@ class VarType
mutable int _cached_size_;
::paddle_mobile::framework::proto::VarType_TensorDesc *selected_rows_;
::paddle_mobile::framework::proto::VarType_LoDTensorDesc *lod_tensor_;
::paddle_mobile::framework::proto::VarType_LoDTensorArrayDesc
*tensor_array_;
::paddle_mobile::framework::proto::VarType_LoDTensorArrayDesc *tensor_array_;
::paddle_mobile::framework::proto::VarType_ReaderDesc *reader_;
::paddle_mobile::framework::proto::VarType_ChannelDesc *channel_;
::paddle_mobile::framework::proto::VarType_Tuple *tuple_;
......@@ -2256,7 +2235,7 @@ class VarDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.VarDesc)
*/
{
public:
public:
VarDesc();
virtual ~VarDesc();
......@@ -2317,17 +2296,17 @@ class VarDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(VarDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -2368,7 +2347,7 @@ class VarDesc
void set_persistable(bool value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarDesc)
private:
private:
void set_has_name();
void clear_has_name();
void set_has_type();
......@@ -2395,7 +2374,7 @@ class BlockDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.BlockDesc)
*/
{
public:
public:
BlockDesc();
virtual ~BlockDesc();
......@@ -2430,8 +2409,7 @@ class BlockDesc
static const BlockDesc &default_instance();
static inline const BlockDesc *internal_default_instance() {
return reinterpret_cast<const BlockDesc *>(
&_BlockDesc_default_instance_);
return reinterpret_cast<const BlockDesc *>(&_BlockDesc_default_instance_);
}
static PROTOBUF_CONSTEXPR int const kIndexInFileMessages = 14;
......@@ -2459,17 +2437,17 @@ class BlockDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(BlockDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -2528,7 +2506,7 @@ class BlockDesc
void set_forward_block_idx(::google::protobuf::int32 value);
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.BlockDesc)
private:
private:
void set_has_idx();
void clear_has_idx();
void set_has_parent_idx();
......@@ -2561,7 +2539,7 @@ class ProgramDesc
MessageLite /* @@protoc_insertion_point(class_definition:paddle_mobile.framework.proto.ProgramDesc)
*/
{
public:
public:
ProgramDesc();
virtual ~ProgramDesc();
......@@ -2625,17 +2603,17 @@ class ProgramDesc
void DiscardUnknownFields();
int GetCachedSize() const PROTOBUF_FINAL { return _cached_size_; }
private:
private:
void SharedCtor();
void SharedDtor();
void SetCachedSize(int size) const;
void InternalSwap(ProgramDesc *other);
private:
private:
inline ::google::protobuf::Arena *GetArenaNoVirtual() const { return NULL; }
inline void *MaybeArenaPtr() const { return NULL; }
public:
public:
::std::string GetTypeName() const PROTOBUF_FINAL;
// nested types
......@@ -2659,7 +2637,7 @@ class ProgramDesc
blocks() const;
// @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.ProgramDesc)
private:
private:
::google::protobuf::internal::InternalMetadataWithArenaLite
_internal_metadata_;
::google::protobuf::internal::HasBits<1> _has_bits_;
......@@ -2697,15 +2675,14 @@ inline const ::std::string &OpDesc_Attr::name() const {
}
inline void OpDesc_Attr::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
#if LANG_CXX11
inline void OpDesc_Attr::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
......@@ -2713,15 +2690,13 @@ inline void OpDesc_Attr::set_name(::std::string &&value) {
inline void OpDesc_Attr::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
inline void OpDesc_Attr::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpDesc.Attr.name)
}
......@@ -2954,8 +2929,7 @@ inline void OpDesc_Attr::set_strings(int index, const char *value) {
}
inline void OpDesc_Attr::set_strings(int index, const char *value,
size_t size) {
strings_.Mutable(index)->assign(reinterpret_cast<const char *>(value),
size);
strings_.Mutable(index)->assign(reinterpret_cast<const char *>(value), size);
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpDesc.Attr.strings)
}
inline ::std::string *OpDesc_Attr::add_strings() {
......@@ -3147,8 +3121,7 @@ inline void OpDesc_Var::set_allocated_parameter(::std::string *parameter) {
clear_has_parameter();
}
parameter_.SetAllocatedNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
parameter);
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), parameter);
// @@protoc_insertion_point(field_set_allocated:paddle_mobile.framework.proto.OpDesc.Var.parameter)
}
......@@ -3239,15 +3212,14 @@ inline const ::std::string &OpDesc::type() const {
}
inline void OpDesc::set_type(const ::std::string &value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpDesc.type)
}
#if LANG_CXX11
inline void OpDesc::set_type(::std::string &&value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpDesc.type)
}
......@@ -3255,15 +3227,13 @@ inline void OpDesc::set_type(::std::string &&value) {
inline void OpDesc::set_type(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpDesc.type)
}
inline void OpDesc::set_type(const char *value, size_t size) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpDesc.type)
}
......@@ -3421,15 +3391,14 @@ inline const ::std::string &OpProto_Var::name() const {
}
inline void OpProto_Var::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpProto.Var.name)
}
#if LANG_CXX11
inline void OpProto_Var::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpProto.Var.name)
}
......@@ -3437,15 +3406,13 @@ inline void OpProto_Var::set_name(::std::string &&value) {
inline void OpProto_Var::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpProto.Var.name)
}
inline void OpProto_Var::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpProto.Var.name)
}
......@@ -3629,15 +3596,14 @@ inline const ::std::string &OpProto_Attr::name() const {
}
inline void OpProto_Attr::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpProto.Attr.name)
}
#if LANG_CXX11
inline void OpProto_Attr::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpProto.Attr.name)
}
......@@ -3645,15 +3611,13 @@ inline void OpProto_Attr::set_name(::std::string &&value) {
inline void OpProto_Attr::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpProto.Attr.name)
}
inline void OpProto_Attr::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpProto.Attr.name)
}
......@@ -3813,15 +3777,14 @@ inline const ::std::string &OpProto::type() const {
}
inline void OpProto::set_type(const ::std::string &value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.OpProto.type)
}
#if LANG_CXX11
inline void OpProto::set_type(::std::string &&value) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.OpProto.type)
}
......@@ -3829,15 +3792,13 @@ inline void OpProto::set_type(::std::string &&value) {
inline void OpProto::set_type(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.OpProto.type)
}
inline void OpProto::set_type(const char *value, size_t size) {
set_has_type();
type_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
type_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.OpProto.type)
}
......@@ -4443,8 +4404,7 @@ inline ::paddle_mobile::framework::proto::VarType_TensorDesc *
VarType::mutable_selected_rows() {
set_has_selected_rows();
if (selected_rows_ == NULL) {
selected_rows_ =
new ::paddle_mobile::framework::proto::VarType_TensorDesc;
selected_rows_ = new ::paddle_mobile::framework::proto::VarType_TensorDesc;
}
// @@protoc_insertion_point(field_mutable:paddle_mobile.framework.proto.VarType.selected_rows)
return selected_rows_;
......@@ -4453,8 +4413,7 @@ inline ::paddle_mobile::framework::proto::VarType_TensorDesc *
VarType::release_selected_rows() {
// @@protoc_insertion_point(field_release:paddle_mobile.framework.proto.VarType.selected_rows)
clear_has_selected_rows();
::paddle_mobile::framework::proto::VarType_TensorDesc *temp =
selected_rows_;
::paddle_mobile::framework::proto::VarType_TensorDesc *temp = selected_rows_;
selected_rows_ = NULL;
return temp;
}
......@@ -4489,8 +4448,8 @@ VarType::lod_tensor() const {
lod_tensor_;
// @@protoc_insertion_point(field_get:paddle_mobile.framework.proto.VarType.lod_tensor)
return p != NULL ? *p
: *reinterpret_cast<const ::paddle_mobile::framework::
proto::VarType_LoDTensorDesc *>(
: *reinterpret_cast<const ::paddle_mobile::framework::proto::
VarType_LoDTensorDesc *>(
&::paddle_mobile::framework::proto::
_VarType_LoDTensorDesc_default_instance_);
}
......@@ -4498,8 +4457,7 @@ inline ::paddle_mobile::framework::proto::VarType_LoDTensorDesc *
VarType::mutable_lod_tensor() {
set_has_lod_tensor();
if (lod_tensor_ == NULL) {
lod_tensor_ =
new ::paddle_mobile::framework::proto::VarType_LoDTensorDesc;
lod_tensor_ = new ::paddle_mobile::framework::proto::VarType_LoDTensorDesc;
}
// @@protoc_insertion_point(field_mutable:paddle_mobile.framework.proto.VarType.lod_tensor)
return lod_tensor_;
......@@ -4508,8 +4466,7 @@ inline ::paddle_mobile::framework::proto::VarType_LoDTensorDesc *
VarType::release_lod_tensor() {
// @@protoc_insertion_point(field_release:paddle_mobile.framework.proto.VarType.lod_tensor)
clear_has_lod_tensor();
::paddle_mobile::framework::proto::VarType_LoDTensorDesc *temp =
lod_tensor_;
::paddle_mobile::framework::proto::VarType_LoDTensorDesc *temp = lod_tensor_;
lod_tensor_ = NULL;
return temp;
}
......@@ -4544,8 +4501,7 @@ VarType::tensor_array() const {
const ::paddle_mobile::framework::proto::VarType_LoDTensorArrayDesc *p =
tensor_array_;
// @@protoc_insertion_point(field_get:paddle_mobile.framework.proto.VarType.tensor_array)
return p != NULL
? *p
return p != NULL ? *p
: *reinterpret_cast<const ::paddle_mobile::framework::proto::
VarType_LoDTensorArrayDesc *>(
&::paddle_mobile::framework::proto::
......@@ -4644,18 +4600,18 @@ inline void VarType::set_has_channel() { _has_bits_[0] |= 0x00000010u; }
inline void VarType::clear_has_channel() { _has_bits_[0] &= ~0x00000010u; }
inline void VarType::clear_channel() {
if (channel_ != NULL)
channel_
->::paddle_mobile::framework::proto::VarType_ChannelDesc::Clear();
channel_->::paddle_mobile::framework::proto::VarType_ChannelDesc::Clear();
clear_has_channel();
}
inline const ::paddle_mobile::framework::proto::VarType_ChannelDesc &
VarType::channel() const {
const ::paddle_mobile::framework::proto::VarType_ChannelDesc *p = channel_;
// @@protoc_insertion_point(field_get:paddle_mobile.framework.proto.VarType.channel)
return p != NULL ? *p
: *reinterpret_cast<const ::paddle_mobile::framework::
proto::VarType_ChannelDesc *>(
&::paddle_mobile::framework::proto::
return p != NULL
? *p
: *reinterpret_cast<
const ::paddle_mobile::framework::proto::VarType_ChannelDesc
*>(&::paddle_mobile::framework::proto::
_VarType_ChannelDesc_default_instance_);
}
inline ::paddle_mobile::framework::proto::VarType_ChannelDesc *
......@@ -4759,15 +4715,14 @@ inline const ::std::string &VarDesc::name() const {
}
inline void VarDesc::set_name(const ::std::string &value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(), value);
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
value);
// @@protoc_insertion_point(field_set:paddle_mobile.framework.proto.VarDesc.name)
}
#if LANG_CXX11
inline void VarDesc::set_name(::std::string &&value) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::move(value));
// @@protoc_insertion_point(field_set_rvalue:paddle_mobile.framework.proto.VarDesc.name)
}
......@@ -4775,15 +4730,13 @@ inline void VarDesc::set_name(::std::string &&value) {
inline void VarDesc::set_name(const char *value) {
GOOGLE_DCHECK(value != NULL);
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(value));
// @@protoc_insertion_point(field_set_char:paddle_mobile.framework.proto.VarDesc.name)
}
inline void VarDesc::set_name(const char *value, size_t size) {
set_has_name();
name_.SetNoArena(
&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
name_.SetNoArena(&::google::protobuf::internal::GetEmptyStringAlreadyInited(),
::std::string(reinterpret_cast<const char *>(value), size));
// @@protoc_insertion_point(field_set_pointer:paddle_mobile.framework.proto.VarDesc.name)
}
......
src/framework/lod_tensor.cc
浏览文件 @ 1ad8f821
......@@ -152,8 +152,7 @@ bool CheckLoD(const LoD &in, int tensor_height) {
// check: all the offsets in a level should be ascending(no same
// items
// allows).
if (!std::is_sorted(level.begin(), level.begin(),
[](size_t a, size_t b) {
if (!std::is_sorted(level.begin(), level.begin(), [](size_t a, size_t b) {
if (a < b)
return true;
return false;
......@@ -188,8 +187,7 @@ bool CheckAbsLoD(const LoD &in, int tensor_height) {
// check: all the offsets in a level should be ascending(no same
// items
// allows).
if (!std::is_sorted(level.begin(), level.begin(),
[](size_t a, size_t b) {
if (!std::is_sorted(level.begin(), level.begin(), [](size_t a, size_t b) {
if (a < b)
return true;
return false;
......
src/framework/lod_tensor.h
浏览文件 @ 1ad8f821
......@@ -102,7 +102,7 @@ bool CheckAbsLoD(const LoD &in, int tensor_height = -1);
* see https://en.wikipedia.org/wiki/Level_of_details for reference.
*/
class LoDTensor : public Tensor {
public:
public:
LoDTensor() : Tensor() {}
explicit LoDTensor(const LoD &lod) : lod_(lod) {}
......@@ -139,7 +139,7 @@ class LoDTensor : public Tensor {
return (lod_)[level].size() - 1;
}
private:
private:
LoD lod_;
};
......
src/framework/op_desc.h
浏览文件 @ 1ad8f821
......@@ -26,7 +26,7 @@ namespace paddle_mobile {
namespace framework {
class OpDesc : PaddleMobileObject {
public:
public:
OpDesc(const proto::OpDesc &desc);
const std::vector<std::string> &Input(const std::string &name) const;
const std::vector<std::string> &Output(const std::string &name) const;
......@@ -40,7 +40,7 @@ class OpDesc : PaddleMobileObject {
const std::string &Type() { return desc_.type(); };
private:
private:
proto::OpDesc desc_;
VariableNameMap inputs_;
VariableNameMap outputs_;
......
src/framework/op_info.h
浏览文件 @ 1ad8f821
......@@ -39,7 +39,7 @@ template <typename Dtype> class OpInfoMap;
template <typename Dtype> static OpInfoMap<Dtype> *g_op_info_map = nullptr;
template <typename Dtype> class OpInfoMap {
public:
public:
static OpInfoMap &Instance() {
if (g_op_info_map<Dtype> == nullptr) {
g_op_info_map<Dtype> = new OpInfoMap();
......@@ -83,7 +83,7 @@ template <typename Dtype> class OpInfoMap {
return &map_;
}
private:
private:
OpInfoMap() = default;
std::unordered_map<std::string, OpInfo<Dtype>> map_;
......
src/framework/op_kernel_type.h
浏览文件 @ 1ad8f821
......@@ -27,8 +27,7 @@ struct OpKernelType {
struct Hash {
size_t operator()(const OpKernelType &key) const {
int data_type = static_cast<int>(key.data_type_) << LEFT_SHIFT;
int data_layout = static_cast<int>(key.data_layout_)
<< (LEFT_SHIFT * 2);
int data_layout = static_cast<int>(key.data_layout_) << (LEFT_SHIFT * 2);
std::hash<int> hasher;
return hasher(data_type + data_layout);
......
src/framework/operator.h
浏览文件 @ 1ad8f821
......@@ -49,7 +49,7 @@ static std::unordered_map<
{"fetch", {{"X"}, {"Out"}}}};
template <typename Dtype> class OperatorBase : PaddleMobileObject {
public:
public:
OperatorBase(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs, const AttributeMap &attrs,
std::shared_ptr<Scope> scope);
......@@ -66,30 +66,30 @@ template <typename Dtype> class OperatorBase : PaddleMobileObject {
}
}
protected:
protected:
std::shared_ptr<Scope> scope_;
std::string type_;
VariableNameMap inputs_;
VariableNameMap outputs_;
AttributeMap attrs_;
private:
private:
void CheckAllInputOutputSet() const;
};
template <typename Dtype>
class OperatorWithKernel : public OperatorBase<Dtype> {
public:
public:
OperatorWithKernel(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs,
const AttributeMap &attrs, std::shared_ptr<Scope> scope)
const VariableNameMap &outputs, const AttributeMap &attrs,
std::shared_ptr<Scope> scope)
: OperatorBase<Dtype>(type, inputs, outputs, attrs, scope) {}
virtual void InferShape() const = 0;
virtual void Run() const = 0;
};
template <typename Dtype, typename P> class OpKernelBase : PaddleMobileObject {
public:
public:
virtual void Compute(const P &para) const = 0;
virtual ~OpKernelBase() = default;
......
src/framework/paddle_mobile_object.h
浏览文件 @ 1ad8f821
......@@ -24,13 +24,13 @@ SOFTWARE.
namespace paddle_mobile {
class PaddleMobileObject {
public:
public:
virtual std::string ToString() {
char address[128] = {0};
sprintf(address, "%p", this);
return std::string(address);
}
private:
private:
};
} // namespace paddle_mobile
src/framework/program-optimize/node.h
浏览文件 @ 1ad8f821
......@@ -29,7 +29,7 @@ namespace paddle_mobile {
namespace framework {
class Node : PaddleMobileObject {
public:
public:
Node(const std::string &type) : type_(type) {}
Node(std::shared_ptr<OpDesc> op_desc)
: op_desc_(op_desc), type_(op_desc->Type()){};
......@@ -39,7 +39,7 @@ class Node : PaddleMobileObject {
Node &To(int index);
uint depth(uint begin = 0);
private:
private:
std::shared_ptr<OpDesc> op_desc_;
std::string ToString(std::string blank, const Node *node) const;
std::vector<std::shared_ptr<Node>> outputs_;
......
src/framework/program-optimize/program_optimize.cpp
浏览文件 @ 1ad8f821
......@@ -35,8 +35,7 @@ ProgramOptimize::FushionOptimize(std::shared_ptr<ProgramDesc> ori_des) {
auto op = block->Ops()[j];
auto op_type = op->Type();
// DLOG << "op type: " << op_type << " index: " << j;
if (op_input_output_key.find(op->Type()) ==
op_input_output_key.end()) {
if (op_input_output_key.find(op->Type()) == op_input_output_key.end()) {
return NULL;
}
......
src/framework/program-optimize/program_optimize.h
浏览文件 @ 1ad8f821
......@@ -26,13 +26,13 @@ namespace paddle_mobile {
namespace framework {
class ProgramOptimize {
public:
public:
ProgramOptimize() {}
std::shared_ptr<ProgramDesc> Optimize();
std::shared_ptr<ProgramDesc>
FushionOptimize(std::shared_ptr<ProgramDesc> ori_des);
private:
private:
// std::shared_ptr<ProgramDesc> ori_desc_;
std::vector<std::unordered_map<std::string, std::shared_ptr<Node>>>
outputs_nodes_;
......
src/framework/program.h
浏览文件 @ 1ad8f821
......@@ -28,12 +28,12 @@ namespace framework {
template <typename Dtype, Precision P = Precision::FP32>
class Program : PaddleMobileObject {
public:
public:
std::shared_ptr<ProgramDesc> originProgram;
std::shared_ptr<ProgramDesc> optimizeProgram;
std::shared_ptr<Scope> scope;
private:
private:
};
} // namespace framework
......
src/framework/program_desc.h
浏览文件 @ 1ad8f821
......@@ -28,12 +28,12 @@ namespace paddle_mobile {
namespace framework {
class ProgramDesc : PaddleMobileObject {
public:
public:
ProgramDesc(const proto::ProgramDesc &desc);
std::shared_ptr<BlockDesc> Block(size_t idx);
const std::vector<std::shared_ptr<BlockDesc>> &Blocks() { return blocks_; };
private:
private:
std::vector<std::shared_ptr<BlockDesc>> blocks_;
proto::ProgramDesc desc_;
};
......
src/framework/scope.h
浏览文件 @ 1ad8f821
......@@ -26,7 +26,7 @@ SOFTWARE.
namespace paddle_mobile {
namespace framework {
class Scope {
public:
public:
Scope() {}
~Scope() {}
......@@ -67,7 +67,7 @@ class Scope {
Variable *FindVarLocally(const std::string &name) const;
private:
private:
// Call Scope::NewScope for a sub-scope.
explicit Scope(Scope const *parent) : parent_(parent) {}
......
src/framework/selected_rows.h
浏览文件 @ 1ad8f821
......@@ -27,7 +27,7 @@ namespace paddle_mobile {
namespace framework {
class SelectedRows {
public:
public:
SelectedRows(const std::vector<int64_t> &rows, const int64_t &height)
: rows_(rows), height_(height) {
value_.reset(new Tensor());
......@@ -67,7 +67,7 @@ class SelectedRows {
return make_ddim(dims);
}
private:
private:
// Notice: rows can be duplicate. We can have {0, 4, 7, 0, 5, 7, 9}
// here.
// SelectedRows are simply concated when adding together. Until a
......
src/framework/tensor.h
浏览文件 @ 1ad8f821
......@@ -56,8 +56,7 @@ struct SizeOfTypeFunctor<HEAD, TAIL...> {
};
static inline size_t SizeOfType(std::type_index type) {
SizeOfTypeFunctor<int, float, double, int16_t, int64_t, bool, size_t>
functor;
SizeOfTypeFunctor<int, float, double, int16_t, int64_t, bool, size_t> functor;
size_t size = functor(type);
// PADDLE_ENFORCE(size != 0UL, "Cannot get size of type %s",
// type.name());
......@@ -67,7 +66,7 @@ static inline size_t SizeOfType(std::type_index type) {
class LoDTensor;
class Tensor {
public:
public:
Tensor() : offset_(0) {}
/*! Return a pointer to mutable memory block. */
......@@ -78,8 +77,8 @@ class Tensor {
// typeid(T).hash_code(),
// "Tensor holds the wrong type, it holds %s",
// this->holder_->type().name());
return reinterpret_cast<T *>(
reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_);
return reinterpret_cast<T *>(reinterpret_cast<uintptr_t>(holder_->ptr()) +
offset_);
}
/*! Return a pointer to constant memory block. */
......@@ -236,7 +235,7 @@ class Tensor {
inline void set_layout(const DataLayout layout) { layout_ = layout; }
private:
private:
/**
* @note Placeholder hides type T, so it doesn't appear as a
* template
......
src/framework/tensor_util.cc
浏览文件 @ 1ad8f821
......@@ -189,8 +189,7 @@ void TensorFromStream(std::istream &is, framework::Tensor *tensor) {
{ // read tensor
std::vector<int64_t> dims;
dims.reserve(static_cast<size_t>(desc.dims().size()));
std::copy(desc.dims().begin(), desc.dims().end(),
std::back_inserter(dims));
std::copy(desc.dims().begin(), desc.dims().end(), std::back_inserter(dims));
tensor->Resize(framework::make_ddim(dims));
void *buf;
......
src/framework/var_desc.h
浏览文件 @ 1ad8f821
......@@ -25,7 +25,7 @@ namespace paddle_mobile {
namespace framework {
class VarDesc {
public:
public:
VarDesc(const proto::VarDesc &desc);
std::string Name() const { return desc_.name(); }
......@@ -80,7 +80,7 @@ class VarDesc {
return this->RepeatedToVector(tensor_desc().dims());
}
private:
private:
proto::VarDesc desc_;
};
......
src/framework/variable.h
浏览文件 @ 1ad8f821
......@@ -28,7 +28,7 @@ SOFTWARE.
namespace paddle_mobile {
namespace framework {
class Variable : public PaddleMobileObject {
public:
public:
template <typename T> const T *Get() const {
return static_cast<const T *>(holder_->Ptr());
}
......@@ -67,7 +67,7 @@ class Variable : public PaddleMobileObject {
void SetName(const std::string *name) { name_ = name; }
private:
private:
struct Placeholder {
Placeholder() = default;
virtual ~Placeholder() = default;
......
src/io.cpp
浏览文件 @ 1ad8f821
......@@ -174,10 +174,8 @@ Loader<Dtype, P>::Load(const std::string &dirname) {
auto var = scope->Var(var_desc->Name());
if (var_desc->GetType() == framework::proto::VarType::LOD_TENSOR) {
if (var_desc->Persistable() &&
var_desc->GetType() !=
framework::proto::VarType::FEED_MINIBATCH &&
var_desc->GetType() !=
framework::proto::VarType::FETCH_LIST) {
var_desc->GetType() != framework::proto::VarType::FEED_MINIBATCH &&
var_desc->GetType() != framework::proto::VarType::FETCH_LIST) {
framework::LoDTensor *tensor =
var->GetMutable<framework::LoDTensor>();
// to load
......@@ -268,8 +266,7 @@ Loader<Dtype, P>::Load(const std::string &dirname) {
}
if (var.persistable() &&
var.type().type() !=
framework::proto::VarType::FEED_MINIBATCH &&
var.type().type() != framework::proto::VarType::FEED_MINIBATCH &&
var.type().type() != framework::proto::VarType::FETCH_LIST) {
// std::cout << " to load " << var.name() <<
// std::endl;
......@@ -289,8 +286,7 @@ Loader<Dtype, P>::Load(const std::string &dirname) {
// 2 Lod information
uint64_t lod_level;
is.read(reinterpret_cast<char *>(&lod_level),
sizeof(lod_level));
is.read(reinterpret_cast<char *>(&lod_level), sizeof(lod_level));
// std::cout << " load level: " << lod_level <<
// std::endl;
// std::cout << " lod info: " << std::endl;
......
src/io.h
浏览文件 @ 1ad8f821
......@@ -29,10 +29,10 @@ namespace paddle_mobile {
template <typename Dtype, Precision P = Precision::FP32>
class Loader : PaddleMobileObject {
public:
public:
const framework::Program<Dtype, P> Load(const std::string &dirname);
private:
private:
void LoadVar(framework::LoDTensor *tensor, const std::string &file_path);
};
......
src/memory/t_malloc.h
浏览文件 @ 1ad8f821
......@@ -40,7 +40,7 @@ void Free(void *ptr);
template <typename T> class PODDeleter {
static_assert(std::is_pod<T>::value, "T must be POD");
public:
public:
explicit PODDeleter(){};
void operator()(T *ptr) { Free(static_cast<void *>(ptr)); }
......@@ -55,7 +55,7 @@ template <typename T> class PODDeleter {
* reinterpret_cast
*/
template <typename T> class PlainDeleter {
public:
public:
explicit PlainDeleter(){};
void operator()(T *ptr) { Free(reinterpret_cast<void *>(ptr)); }
......
src/operators/batchnorm_op.h
浏览文件 @ 1ad8f821
......@@ -27,13 +27,13 @@ using namespace framework;
template <typename DeviceType, typename T>
class BatchNormOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
BatchNormOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs,
const framework::AttributeMap attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
void Run() const {
......@@ -44,7 +44,7 @@ class BatchNormOp : public framework::OperatorWithKernel<DeviceType> {
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
protected:
protected:
BatchNormParam param_;
};
......
src/operators/concat_op.h
浏览文件 @ 1ad8f821
......@@ -26,13 +26,12 @@ using namespace framework;
template <typename DeviceType, typename T>
class ConcatOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
ConcatOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs,
const framework::AttributeMap attrs,
const VariableNameMap &outputs, const framework::AttributeMap attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
void Run() const {
......@@ -43,7 +42,7 @@ class ConcatOp : public framework::OperatorWithKernel<DeviceType> {
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
protected:
protected:
ConcatParam param_;
};
......
src/operators/conv_op.cpp
浏览文件 @ 1ad8f821
......@@ -60,9 +60,9 @@ void ConvOp<Dtype, T>::InferShape() const {
std::vector<int64_t> output_shape({in_dims[0], filter_dims[0]});
for (size_t i = 0; i < strides.size(); ++i) {
output_shape.push_back(ConvOutputSize(in_dims[i + 2],
filter_dims[i + 2], dilations[i],
paddings[i], strides[i]));
output_shape.push_back(ConvOutputSize(in_dims[i + 2], filter_dims[i + 2],
dilations[i], paddings[i],
strides[i]));
}
framework::DDim ddim = framework::make_ddim(output_shape);
......
src/operators/conv_op.h
浏览文件 @ 1ad8f821
......@@ -28,12 +28,12 @@ using namespace framework;
template <typename DeviceType, typename T>
class ConvOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
ConvOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs, const framework::AttributeMap &attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
......@@ -45,7 +45,7 @@ class ConvOp : public framework::OperatorWithKernel<DeviceType> {
this->ClearVariables({"Filter", "Input"});
}
private:
private:
ConvParam param_;
};
......
src/operators/elementwise_add_op.h
浏览文件 @ 1ad8f821
......@@ -27,13 +27,13 @@ using namespace framework;
template <typename DeviceType, typename T>
class ElementwiseAddOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
ElementwiseAddOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs,
const framework::AttributeMap attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
void Run() const {
......@@ -44,7 +44,7 @@ class ElementwiseAddOp : public framework::OperatorWithKernel<DeviceType> {
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
protected:
protected:
ElementwiseAddParam param_;
};
} // namespace operators
......
src/operators/kernel/arm/batchnorm_kernel.cpp
浏览文件 @ 1ad8f821
......@@ -67,15 +67,14 @@ void BatchNormKernel<CPU, float>::Compute(const BatchNormParam &param) const {
/// (x * inv_var * scale) + (bias - est_mean * inv_var * scale)
for (int i = 0; i < C; i++) {
new_scale_ptr[i] = inv_std_ptr[i] * scale_ptr[i];
new_bias_ptr[i] =
bias_ptr[i] - mean_ptr[i] * inv_std_ptr[i] * scale_ptr[i];
new_bias_ptr[i] = bias_ptr[i] - mean_ptr[i] * inv_std_ptr[i] * scale_ptr[i];
{
for (int n = 0; n < N; n++) {
for (int h = 0; h < H; h++) {
for (int w = 0; w < W; w++) {
int index = n * stride0 + i * stride1 + h * stride2 + w;
out_ptr[index] = input_x_ptr[index] * new_scale_ptr[i] +
new_bias_ptr[i];
out_ptr[index] =
input_x_ptr[index] * new_scale_ptr[i] + new_bias_ptr[i];
}
}
}
......
src/operators/kernel/arm/concat_kernel.cpp
浏览文件 @ 1ad8f821
......@@ -19,7 +19,7 @@ limitations under the License. */
namespace paddle_mobile {
namespace operators {
template <typename T> class ConcatFunctor {
public:
public:
void operator()(const std::vector<framework::Tensor> &input, const int axis,
framework::Tensor *output) {
size_t num = input.size();
......@@ -80,8 +80,7 @@ void StridedNumelCopyWithAxis(int64_t axis, T *dst,
}
for (int64_t i = 0; i < before; ++i) {
memory::Copy(dst + i * dst_after, src + i * src_after,
sizeof(T) * size);
memory::Copy(dst + i * dst_after, src + i * src_after, sizeof(T) * size);
}
}
......@@ -98,9 +97,9 @@ void ConcatKernel<CPU, float>::Compute(const ConcatParam &param) const {
for (auto *in : inputs) {
auto in_stride = framework::stride_numel(in->dims());
auto out_stride = framework::stride_numel(out->dims());
StridedNumelCopyWithAxis<float>(
axis, out->data<float>() + output_offset, out_stride,
in->data<float>(), in_stride, in_stride[axis]);
StridedNumelCopyWithAxis<float>(axis, out->data<float>() + output_offset,
out_stride, in->data<float>(), in_stride,
in_stride[axis]);
output_offset += in_stride[axis];
}
} else {
......
src/operators/kernel/arm/conv_kernel.cpp
浏览文件 @ 1ad8f821
......@@ -138,12 +138,10 @@ template <> void ConvKernel<CPU, float>::Compute(const ConvParam &param) const {
}
// gemm
Tensor out_slice =
out_batch.Slice(g * out_step, (g + 1) * out_step);
Tensor filter_slice =
filter.Slice(g * out_step, (g + 1) * out_step);
math::matmul<float>(filter_slice, false, col_matrix, false,
float(1.0), &out_slice, float(0.0));
Tensor out_slice = out_batch.Slice(g * out_step, (g + 1) * out_step);
Tensor filter_slice = filter.Slice(g * out_step, (g + 1) * out_step);
math::matmul<float>(filter_slice, false, col_matrix, false, float(1.0),
&out_slice, float(0.0));
}
}
}
......
src/operators/kernel/batchnorm_kernel.h
浏览文件 @ 1ad8f821
......@@ -28,7 +28,7 @@ using namespace framework;
template <typename DeviceType, typename T>
class BatchNormKernel
: public framework::OpKernelBase<DeviceType, BatchNormParam> {
public:
public:
void Compute(const BatchNormParam &param) const;
};
......
src/operators/kernel/concat_kernel.h
浏览文件 @ 1ad8f821
......@@ -26,7 +26,7 @@ using namespace framework;
template <typename DeviceType, typename T>
class ConcatKernel : public framework::OpKernelBase<DeviceType, ConcatParam> {
public:
public:
void Compute(const ConcatParam &param) const;
};
......
src/operators/kernel/conv_kernel.h
浏览文件 @ 1ad8f821
......@@ -31,7 +31,7 @@ using namespace framework;
template <typename DeviceType, typename T>
class ConvKernel : public framework::OpKernelBase<DeviceType, ConvParam> {
public:
public:
void Compute(const ConvParam &param) const;
};
} // namespace operators
......
src/operators/kernel/elementwise_add_kernel.h
浏览文件 @ 1ad8f821
......@@ -29,7 +29,7 @@ using namespace framework;
template <typename DeviceType, typename T>
class ElementwiseAddKernel
: public framework::OpKernelBase<DeviceType, ElementwiseAddParam> {
public:
public:
void Compute(const ElementwiseAddParam &param) const;
};
} // namespace operators
......
src/operators/kernel/lrn_kernel.h
浏览文件 @ 1ad8f821
......@@ -26,8 +26,8 @@ namespace operators {
using namespace framework;
template <typename T> struct LRNFunctor {
void operator()(const framework::Tensor &input, framework::Tensor *out,
int N, int C, int H, int W, int n, T k, T alpha, T beta) {
void operator()(const framework::Tensor &input, framework::Tensor *out, int N,
int C, int H, int W, int n, T k, T alpha, T beta) {
auto input_ptr = input.data<T>();
const int start = -(n - 1) / 2;
const int end = start + n;
......@@ -47,14 +47,11 @@ template <typename T> struct LRNFunctor {
if (channel >= 0 && channel < C) {
for (int c = 0; c < H; c++) {
for (int d = 0; d < W; d++) {
int u =
a * stride0 + b * stride1 + c * stride2 + d;
int u = a * stride0 + b * stride1 + c * stride2 + d;
int i = a * stride0 + channel * stride1 +
c * stride2 + d;
int i = a * stride0 + channel * stride1 + c * stride2 + d;
sqr_buffer_ptr[u] +=
alpha * input_ptr[i] * input_ptr[i];
sqr_buffer_ptr[u] += alpha * input_ptr[i] * input_ptr[i];
}
}
}
......@@ -70,7 +67,7 @@ template <typename T> struct LRNFunctor {
template <typename DeviceType, typename T>
class LrnKernel : public framework::OpKernelBase<DeviceType, LrnParam> {
public:
public:
void Compute(const LrnParam &param) const;
};
} // namespace operators
......
src/operators/kernel/mul_kernel.h
浏览文件 @ 1ad8f821
......@@ -28,7 +28,7 @@ using namespace framework;
template <typename DeviceType, typename T>
class MulKernel : public framework::OpKernelBase<DeviceType, MulParam> {
public:
public:
void Compute(const MulParam &param) const;
};
} // namespace operators
......
src/operators/kernel/pool_kernel.h
浏览文件 @ 1ad8f821
......@@ -28,7 +28,7 @@ using namespace framework;
template <typename DeviceType, typename T>
class PoolKernel : public framework::OpKernelBase<DeviceType, PoolParam> {
public:
public:
void Compute(const PoolParam &param) const;
};
} // namespace operators
......
src/operators/lrn_op.h
浏览文件 @ 1ad8f821
......@@ -27,12 +27,12 @@ using namespace framework;
template <typename DeviceType, typename T>
class LrnOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
LrnOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs, const framework::AttributeMap attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
void Run() const {
......@@ -43,7 +43,7 @@ class LrnOp : public framework::OperatorWithKernel<DeviceType> {
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
protected:
protected:
LrnParam param_;
};
......
src/operators/math/elementwise_op_function.h
浏览文件 @ 1ad8f821
......@@ -69,7 +69,7 @@ inline void trim_trailing_singular_dims(framework::DDim *dims) {
}
template <typename T> class RowwiseTransformIterator {
public:
public:
RowwiseTransformIterator(const T *ptr, int n) : ptr_(ptr), i_(0), n_(n) {}
RowwiseTransformIterator<T> &operator++() {
......@@ -90,7 +90,7 @@ template <typename T> class RowwiseTransformIterator {
const T &operator*() { return ptr_[i_]; }
private:
private:
const T *ptr_;
int i_;
int64_t n_;
......@@ -101,7 +101,7 @@ template <typename T> class RowwiseTransformIterator {
/// in (4,20,2) is 2 ,
/// (20,1) move 1 stride , to fill(add) 2 element with the same number.
template <typename T> class MidWiseTransformIterator {
public:
public:
MidWiseTransformIterator(const T *ptr, int n, int post)
: ptr_(ptr), i_(0), j_(0), n_(n), post_(post) {}
......@@ -127,7 +127,7 @@ template <typename T> class MidWiseTransformIterator {
const T &operator*() { return ptr_[i_]; }
private:
private:
const T *ptr_;
int64_t i_;
int64_t j_;
......@@ -137,7 +137,7 @@ template <typename T> class MidWiseTransformIterator {
template <typename Functor, typename T, typename OutType = T>
class TransformFunctor {
public:
public:
TransformFunctor(const framework::Tensor *x, const framework::Tensor *y,
framework::Tensor *z, Functor func)
: x_(x->data<T>()), y_(y->data<T>()), z_(z->mutable_data<OutType>()),
......@@ -156,11 +156,10 @@ class TransformFunctor {
inline void RunMidWise(int n, int pre, int post) const {
math::Transform trans;
trans(x_, x_ + nx_, MidWiseTransformIterator<T>(y_, n, post), z_,
func_);
trans(x_, x_ + nx_, MidWiseTransformIterator<T>(y_, n, post), z_, func_);
}
private:
private:
const T *x_;
const T *y_;
OutType *z_;
......
src/operators/math/im2col.cc
浏览文件 @ 1ad8f821
......@@ -26,9 +26,8 @@ namespace math {
* output_width]
*/
template <class T> class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
public:
void operator()(const framework::Tensor &im,
const std::vector<int> &dilation,
public:
void operator()(const framework::Tensor &im, const std::vector<int> &dilation,
const std::vector<int> &stride,
const std::vector<int> &padding, framework::Tensor *col) {
// PADDLE_ENFORCE(im.dims().size() == 3);
......@@ -72,17 +71,13 @@ template <class T> class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
int h_offset = (c / filter_width) % filter_height;
int c_im = c / (filter_width * filter_height);
for (int h = 0; h < col_height; ++h) {
int im_row_idx =
h * stride[0] - padding[0] + h_offset * dilation[0];
int im_row_idx = h * stride[0] - padding[0] + h_offset * dilation[0];
for (int w = 0; w < col_width; ++w) {
int im_col_idx =
w * stride[1] - padding[1] + w_offset * dilation[1];
int im_col_idx = w * stride[1] - padding[1] + w_offset * dilation[1];
int col_idx = (c * col_height + h) * col_width + w;
int im_idx =
(im_row_idx + c_im * im_height) * im_width + im_col_idx;
int im_idx = (im_row_idx + c_im * im_height) * im_width + im_col_idx;
col_data[col_idx] =
(im_row_idx < 0 || im_row_idx >= im_height ||
col_data[col_idx] = (im_row_idx < 0 || im_row_idx >= im_height ||
im_col_idx < 0 || im_col_idx >= im_width)
? static_cast<T>(0)
: im_data[im_idx];
......@@ -99,7 +94,7 @@ template <class T> class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
* output_width]
*/
template <class T> class Col2ImFunctor<ColFormat::kCFO, CPU, T> {
public:
public:
void operator()(const framework::Tensor &col,
const std::vector<int> &dilation,
const std::vector<int> &stride,
......@@ -145,15 +140,12 @@ template <class T> class Col2ImFunctor<ColFormat::kCFO, CPU, T> {
int h_offset = (c / filter_width) % filter_height;
int c_im = c / (filter_width * filter_height);
for (int h = 0; h < col_height; ++h) {
int im_row_idx =
h * stride[0] - padding[0] + h_offset * dilation[0];
int im_row_idx = h * stride[0] - padding[0] + h_offset * dilation[0];
for (int w = 0; w < col_width; ++w) {
int im_col_idx =
w * stride[1] - padding[1] + w_offset * dilation[1];
int im_col_idx = w * stride[1] - padding[1] + w_offset * dilation[1];
if ((im_row_idx) >= 0 && (im_row_idx) < im_height &&
(im_col_idx) >= 0 && (im_col_idx) < im_width) {
im_data[(im_row_idx + c_im * im_height) * im_width +
im_col_idx] +=
im_data[(im_row_idx + c_im * im_height) * im_width + im_col_idx] +=
col_data[(c * col_height + h) * col_width + w];
}
}
......@@ -174,9 +166,8 @@ template class Col2ImFunctor<ColFormat::kCFO, CPU, double>;
* filter_width]
*/
template <class T> class Im2ColFunctor<ColFormat::kOCF, CPU, T> {
public:
void operator()(const framework::Tensor &im,
const std::vector<int> &dilation,
public:
void operator()(const framework::Tensor &im, const std::vector<int> &dilation,
const std::vector<int> &stride,
const std::vector<int> &padding, framework::Tensor *col) {
// PADDLE_ENFORCE(im.dims().size() == 3);
......@@ -210,29 +201,25 @@ template <class T> class Im2ColFunctor<ColFormat::kOCF, CPU, T> {
for (int channel = 0; channel < im_channels; ++channel) {
for (int filter_row_idx = 0; filter_row_idx < filter_height;
++filter_row_idx) {
int im_row_offset = col_row_idx * stride[0] +
filter_row_idx - padding[0];
for (int filter_col_idx = 0;
filter_col_idx < filter_width; ++filter_col_idx) {
int im_col_offset = col_col_idx * stride[1] +
filter_col_idx - padding[1];
int im_row_offset =
col_row_idx * stride[0] + filter_row_idx - padding[0];
for (int filter_col_idx = 0; filter_col_idx < filter_width;
++filter_col_idx) {
int im_col_offset =
col_col_idx * stride[1] + filter_col_idx - padding[1];
int col_offset =
((((col_row_idx)*col_width + col_col_idx) *
im_channels +
((((col_row_idx)*col_width + col_col_idx) * im_channels +
channel) *
filter_height +
filter_row_idx) *
filter_width +
filter_col_idx;
int im_offset =
(channel * im_height + im_row_offset) *
im_width +
int im_offset = (channel * im_height + im_row_offset) * im_width +
im_col_offset;
col_data[col_offset] =
(im_row_offset < 0 ||
im_row_offset >= im_height ||
(im_row_offset < 0 || im_row_offset >= im_height ||
im_col_offset < 0 || im_col_offset >= im_width)
? static_cast<T>(0)
: im_data[im_offset];
......@@ -251,7 +238,7 @@ template <class T> class Im2ColFunctor<ColFormat::kOCF, CPU, T> {
* filter_width]
*/
template <class T> class Col2ImFunctor<ColFormat::kOCF, CPU, T> {
public:
public:
void operator()(const framework::Tensor &col,
const std::vector<int> &dilation,
const std::vector<int> &stride,
......@@ -287,29 +274,25 @@ template <class T> class Col2ImFunctor<ColFormat::kOCF, CPU, T> {
for (int channel = 0; channel < im_channels; ++channel) {
for (int filter_row_idx = 0; filter_row_idx < filter_height;
++filter_row_idx) {
int im_row_offset = col_row_idx * stride[0] +
filter_row_idx - padding[0];
for (int filter_col_idx = 0;
filter_col_idx < filter_width; ++filter_col_idx) {
int im_col_offset = col_col_idx * stride[1] +
filter_col_idx - padding[1];
int im_row_offset =
col_row_idx * stride[0] + filter_row_idx - padding[0];
for (int filter_col_idx = 0; filter_col_idx < filter_width;
++filter_col_idx) {
int im_col_offset =
col_col_idx * stride[1] + filter_col_idx - padding[1];
int col_offset =
(((col_row_idx * col_width + col_col_idx) *
im_channels +
(((col_row_idx * col_width + col_col_idx) * im_channels +
channel) *
filter_height +
filter_row_idx) *
filter_width +
filter_col_idx;
if (im_row_offset >= 0 &&
im_row_offset < im_height &&
im_col_offset >= 0 &&
im_col_offset < im_width) {
if (im_row_offset >= 0 && im_row_offset < im_height &&
im_col_offset >= 0 && im_col_offset < im_width) {
int im_offset =
(channel * im_height + im_row_offset) *
im_width +
(channel * im_height + im_row_offset) * im_width +
im_col_offset;
im_data[im_offset] += col_data[col_offset];
}
......
src/operators/math/im2col.h
浏览文件 @ 1ad8f821
......@@ -89,16 +89,15 @@ enum class ColFormat { kCFO = 0, kOCF = 1 };
*/
template <ColFormat Format, typename DeviceType, typename T>
class Im2ColFunctor {
public:
void operator()(const framework::Tensor &im,
const std::vector<int> &dilation,
public:
void operator()(const framework::Tensor &im, const std::vector<int> &dilation,
const std::vector<int> &stride,
const std::vector<int> &padding, framework::Tensor *col);
};
template <ColFormat Format, typename DeviceType, typename T>
class Col2ImFunctor {
public:
public:
void operator()(const framework::Tensor &col,
const std::vector<int> &dilation,
const std::vector<int> &stride,
......
src/operators/math/pooling.cpp
浏览文件 @ 1ad8f821
......@@ -30,9 +30,8 @@ namespace math {
*/
template <typename PoolProcess, typename T>
class PoolFunctor<CPU, PoolProcess, T> {
public:
void operator()(const framework::Tensor &input,
const std::vector<int> &ksize,
public:
void operator()(const framework::Tensor &input, const std::vector<int> &ksize,
const std::vector<int> &strides,
const std::vector<int> &paddings, PoolProcess pool_process,
framework::Tensor *output) {
......@@ -77,8 +76,7 @@ class PoolFunctor<CPU, PoolProcess, T> {
T ele = pool_process.initial();
for (int h = hstart; h < hend; ++h) {
for (int w = wstart; w < wend; ++w) {
pool_process.compute(
input_data[h * input_width + w], &ele);
pool_process.compute(input_data[h * input_width + w], &ele);
}
}
int pool_size = (hend - hstart) * (wend - wstart);
......
src/operators/math/pooling.h
浏览文件 @ 1ad8f821
......@@ -38,7 +38,7 @@ namespace math {
* MaxPoolGrad and AvgPoolGrad are gradient operations respectively.
*/
template <class T> class MaxPool {
public:
public:
inline T initial() { return static_cast<T>(-FLT_MAX); }
inline void compute(const T &x, T *y) { *y = *y > x ? *y : x; }
......@@ -47,7 +47,7 @@ template <class T> class MaxPool {
};
template <class T> class AvgPool {
public:
public:
inline T initial() { return static_cast<T>(0); }
inline void compute(const T &x, T *y) { *y += x; }
......@@ -57,9 +57,8 @@ template <class T> class AvgPool {
template <typename DeviceType, typename PoolProcess, typename T>
class PoolFunctor {
public:
void operator()(const framework::Tensor &input,
const std::vector<int> &ksize,
public:
void operator()(const framework::Tensor &input, const std::vector<int> &ksize,
const std::vector<int> &strides,
const std::vector<int> &paddings, PoolProcess pool_compute,
framework::Tensor *output);
......
src/operators/math/vol2col.cc
浏览文件 @ 1ad8f821
......@@ -26,7 +26,7 @@ using Tensor = paddle_mobile::framework::Tensor;
* output_depth, output_height, output_width]
*/
template <typename T> class Vol2ColFunctor<CPU, T> {
public:
public:
void operator()(const Tensor &vol, const std::vector<int> &dilations,
const std::vector<int> &strides,
const std::vector<int> &paddings, Tensor *col) const {
......@@ -81,28 +81,21 @@ template <typename T> class Vol2ColFunctor<CPU, T> {
int d_offset = (c / filter_width / filter_height) % filter_depth;
int c_in = c / filter_width / filter_height / filter_depth;
for (int d = 0; d < output_depth; ++d) {
int d_pad =
d * strides[0] - paddings[0] + d_offset * dilations[0];
int d_pad = d * strides[0] - paddings[0] + d_offset * dilations[0];
for (int h = 0; h < output_height; ++h) {
int h_pad =
h * strides[1] - paddings[1] + h_offset * dilations[1];
int h_pad = h * strides[1] - paddings[1] + h_offset * dilations[1];
for (int w = 0; w < output_width; ++w) {
int w_pad = w * strides[2] - paddings[2] +
w_offset * dilations[2];
int w_pad = w * strides[2] - paddings[2] + w_offset * dilations[2];
int col_idx =
((c * output_depth + d) * output_height + h) *
output_width +
w;
((c * output_depth + d) * output_height + h) * output_width + w;
int vol_idx =
((c_in * input_depth + d_pad) * input_height +
h_pad) *
((c_in * input_depth + d_pad) * input_height + h_pad) *
input_width +
w_pad;
col_data[col_idx] =
(h_pad < 0 || h_pad >= input_height || w_pad < 0 ||
w_pad >= input_width || d_pad < 0 ||
d_pad >= input_depth)
w_pad >= input_width || d_pad < 0 || d_pad >= input_depth)
? static_cast<T>(0)
: vol_data[vol_idx];
}
......@@ -119,7 +112,7 @@ template <typename T> class Vol2ColFunctor<CPU, T> {
* output_depth, output_height, output_width]
*/
template <typename T> class Col2VolFunctor<CPU, T> {
public:
public:
void operator()(const Tensor &col, const std::vector<int> &dilations,
const std::vector<int> &strides,
const std::vector<int> &paddings, Tensor *vol) const {
......@@ -173,27 +166,21 @@ template <typename T> class Col2VolFunctor<CPU, T> {
int d_offset = (c / filter_width / filter_height) % filter_depth;
int cIm = c / filter_width / filter_height / filter_depth;
for (int d = 0; d < output_depth; ++d) {
int d_pad =
d * strides[0] - paddings[0] + d_offset * dilations[0];
int d_pad = d * strides[0] - paddings[0] + d_offset * dilations[0];
for (int h = 0; h < output_height; ++h) {
int h_pad =
h * strides[1] - paddings[1] + h_offset * dilations[1];
int h_pad = h * strides[1] - paddings[1] + h_offset * dilations[1];
for (int w = 0; w < output_width; ++w) {
int w_pad = w * strides[2] - paddings[2] +
w_offset * dilations[2];
int w_pad = w * strides[2] - paddings[2] + w_offset * dilations[2];
if (h_pad >= 0 && h_pad < input_height && w_pad >= 0 &&
w_pad < input_width && d_pad >= 0 &&
d_pad < input_depth) {
w_pad < input_width && d_pad >= 0 && d_pad < input_depth) {
int vol_idx =
((cIm * input_depth + d_pad) * input_height +
h_pad) *
((cIm * input_depth + d_pad) * input_height + h_pad) *
input_width +
w_pad;
int col_idx =
((c * output_depth + d) * output_height + h) *
output_width +
((c * output_depth + d) * output_height + h) * output_width +
w;
vol_data[vol_idx] += col_data[col_idx];
}
......
src/operators/math/vol2col.h
浏览文件 @ 1ad8f821
......@@ -73,14 +73,14 @@ namespace math {
using Tensor = paddle_mobile::framework::Tensor;
template <typename DeviceType, typename T> class Vol2ColFunctor {
public:
public:
void operator()(const Tensor &vol, const std::vector<int> &dilations,
const std::vector<int> &strides,
const std::vector<int> &paddings, Tensor *col) const;
};
template <typename DeviceType, typename T> class Col2VolFunctor {
public:
public:
void operator()(const Tensor &col, const std::vector<int> &dilations,
const std::vector<int> &strides,
const std::vector<int> &paddings, Tensor *vol) const;
......
src/operators/mul_op.h
浏览文件 @ 1ad8f821
......@@ -27,12 +27,12 @@ using namespace framework;
template <typename DeviceType, typename T>
class MulOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
MulOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs, const framework::AttributeMap attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
void Run() const {
......@@ -43,7 +43,7 @@ class MulOp : public framework::OperatorWithKernel<DeviceType> {
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
protected:
protected:
MulParam param_;
};
......
src/operators/op_param.cpp
浏览文件 @ 1ad8f821
......@@ -24,8 +24,7 @@ Print &operator<<(Print &printer, const ConvParam &conv_param) {
printer << "parameter of conv: "
<< "\n";
printer << " stride: "
<< " (" << conv_param.Strides()[0] << conv_param.Strides()[1]
<< ") "
<< " (" << conv_param.Strides()[0] << conv_param.Strides()[1] << ") "
<< "\n";
printer << " paddings: "
<< " (" << conv_param.Paddings()[0] << conv_param.Paddings()[1]
......
src/operators/op_param.h
浏览文件 @ 1ad8f821
......@@ -31,8 +31,8 @@ namespace operators {
using namespace framework;
class OpParam : PaddleMobileObject {
public:
protected:
public:
protected:
template <typename T>
static T *InputFrom(const VariableNameMap &inputs, const Scope &scope) {
return GetVarValue<T>("Input", inputs, scope);
......@@ -62,8 +62,7 @@ class OpParam : PaddleMobileObject {
return GetVarValue<T>("Mean", inputs, scope);
}
template <typename T>
static T *InputScaleFrom(const VariableNameMap &inputs,
const Scope &scope) {
static T *InputScaleFrom(const VariableNameMap &inputs, const Scope &scope) {
return GetVarValue<T>("Scale", inputs, scope);
}
......@@ -104,8 +103,8 @@ class OpParam : PaddleMobileObject {
}
template <typename T>
static T *GetVarValue(const std::string &key,
const VariableNameMap &var_map, const Scope &scope) {
static T *GetVarValue(const std::string &key, const VariableNameMap &var_map,
const Scope &scope) {
auto var_vec = var_map.at(key);
if (!var_vec.empty()) {
// std::cout << " get var value -- " << var_vec[0] <<
......@@ -133,7 +132,7 @@ class OpParam : PaddleMobileObject {
};
class ConvParam : OpParam {
public:
public:
ConvParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
const framework::Scope &scope) {
......@@ -160,7 +159,7 @@ class ConvParam : OpParam {
const int &Groups() const { return groups; }
private:
private:
Tensor *input_;
Tensor *output_;
LoDTensor *filter_;
......@@ -173,7 +172,7 @@ class ConvParam : OpParam {
Print &operator<<(Print &printer, const ConvParam &conv_param);
class ElementwiseAddParam : OpParam {
public:
public:
ElementwiseAddParam(const VariableNameMap &inputs,
const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
......@@ -192,7 +191,7 @@ class ElementwiseAddParam : OpParam {
const int &Axis() const { return axis_; }
private:
private:
Tensor *input_x_;
Tensor *input_y_;
Tensor *out_;
......@@ -200,7 +199,7 @@ class ElementwiseAddParam : OpParam {
};
class MulParam : OpParam {
public:
public:
MulParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
const framework::Scope &scope) {
......@@ -221,7 +220,7 @@ class MulParam : OpParam {
const int &YNumColDims() const { return y_num_col_dims_; }
private:
private:
Tensor *input_x_;
Tensor *input_y_;
Tensor *out_;
......@@ -230,7 +229,7 @@ class MulParam : OpParam {
};
class ConcatParam : public OpParam {
public:
public:
ConcatParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
const framework::Scope &scope) {
......@@ -245,14 +244,14 @@ class ConcatParam : public OpParam {
const int &Axis() const { return axis_; }
private:
private:
std::vector<Tensor *> inputs_;
Tensor *out_;
int axis_;
};
class LrnParam : public OpParam {
public:
public:
LrnParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
const framework::Scope &scope) {
......@@ -282,7 +281,7 @@ class LrnParam : public OpParam {
const std::string &DataFormat() const { return data_format_; }
private:
private:
Tensor *input_x_;
Tensor *out_;
Tensor *mid_out_;
......@@ -293,9 +292,8 @@ class LrnParam : public OpParam {
std::string data_format_;
};
class BatchNormParam : OpParam {
public:
BatchNormParam(const VariableNameMap &inputs,
const VariableNameMap &outputs,
public:
BatchNormParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
const framework::Scope &scope) {
input_x_ = InputXFrom<framework::Tensor>(inputs, scope);
......@@ -329,7 +327,7 @@ class BatchNormParam : OpParam {
const std::string &DataFormat() const { return data_format_; }
private:
private:
Tensor *input_x_;
Tensor *output_y_;
Tensor *input_bias_;
......@@ -342,7 +340,7 @@ class BatchNormParam : OpParam {
std::string data_format_;
};
class PoolParam : public OpParam {
public:
public:
PoolParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
const framework::Scope &scope) {
......@@ -373,7 +371,7 @@ class PoolParam : public OpParam {
bool isGlobalPooling() const { return gloabal_pooling_; }
private:
private:
Tensor *input_;
Tensor *output_;
std::string pooling_type_;
......
src/operators/pool_op.cpp
浏览文件 @ 1ad8f821
......@@ -49,8 +49,8 @@ void PoolOp<DeviceType, T>::InferShape() const {
}
std::vector<int64_t> output_shape({in_x_dims[0], in_x_dims[1]});
for (size_t i = 0; i < ksize.size(); ++i) {
output_shape.push_back(PoolOutputSize(
in_x_dims[i + 2], ksize[i], paddings[i], strides[i], ceil_mode));
output_shape.push_back(PoolOutputSize(in_x_dims[i + 2], ksize[i],
paddings[i], strides[i], ceil_mode));
}
param_.Output()->Resize(framework::make_ddim(output_shape));
DLOG << "infer shape out size =" << param_.Output()->numel();
......
src/operators/pool_op.h
浏览文件 @ 1ad8f821
......@@ -28,12 +28,12 @@ using namespace framework;
template <typename DeviceType, typename T>
class PoolOp : public framework::OperatorWithKernel<DeviceType> {
public:
public:
PoolOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs, const framework::AttributeMap &attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs,
attrs, scope),
: framework::OperatorWithKernel<DeviceType>(type, inputs, outputs, attrs,
scope),
param_(inputs, outputs, attrs, *scope) {}
using framework::OperatorWithKernel<DeviceType>::OperatorWithKernel;
void InferShape() const override;
......@@ -45,7 +45,7 @@ class PoolOp : public framework::OperatorWithKernel<DeviceType> {
this->ClearVariables({"X"});
}
private:
private:
PoolParam param_;
};
} // namespace operators
......
src/platform/macros.h
浏览文件 @ 1ad8f821
......@@ -17,7 +17,7 @@ limitations under the License. */
// Disable the copy and assignment operator for a class.
#ifndef DISABLE_COPY_AND_ASSIGN
#define DISABLE_COPY_AND_ASSIGN(classname) \
private: \
private: \
classname(const classname &) = delete; \
classname(classname &&) = delete; \
classname &operator=(const classname &) = delete; \
......
test/framework/executor_for_test.cpp
浏览文件 @ 1ad8f821
......@@ -38,8 +38,8 @@ Executor4Test<DeviceType, OpType>::Executor4Test(const Program<DeviceType> p,
std::shared_ptr<OpDesc> op = ops[j];
if (op->Type() == op_type) {
std::shared_ptr<OpType> op_ptr = std::make_shared<OpType>(
op->Type(), op->GetInputs(), op->GetOutputs(),
op->GetAttrMap(), this->program_.scope);
op->Type(), op->GetInputs(), op->GetOutputs(), op->GetAttrMap(),
this->program_.scope);
this->ops_of_block_[*block_desc.get()].push_back(op_ptr);
break;
......
test/framework/executor_for_test.h
浏览文件 @ 1ad8f821
......@@ -27,7 +27,7 @@ using namespace paddle_mobile::framework;
template <typename DeviceType, typename OpType>
class Executor4Test : public Executor<DeviceType> {
public:
public:
Executor4Test(const Program<DeviceType> p, std::string op_type);
std::shared_ptr<Tensor> predict(Tensor &t, std::string input,
......
test/operators/test_batchnorm_op.cpp
浏览文件 @ 1ad8f821
......@@ -24,7 +24,7 @@ namespace paddle_mobile {
namespace framework {
template <typename Dtype> class TestBatchNormOp {
public:
public:
explicit TestBatchNormOp(const Program<Dtype> p) : program_(p) {
if (use_optimize_) {
to_predict_program_ = program_.optimizeProgram;
......@@ -52,8 +52,7 @@ template <typename Dtype> class TestBatchNormOp {
DLOG << " Input Scale is : " << op->Input("Scale")[0];
DLOG << " Input Bias is : " << op->Input("Bias")[0];
DLOG << " Output Y is : " << op->Output("Y")[0];
DLOG << " epsilon : "
<< op->GetAttrMap().at("epsilon").Get<float>();
DLOG << " epsilon : " << op->GetAttrMap().at("epsilon").Get<float>();
std::shared_ptr<operators::BatchNormOp<Dtype, float>> lrn =
std::make_shared<operators::BatchNormOp<Dtype, float>>(
op->Type(), op->GetInputs(), op->GetOutputs(),
......@@ -101,7 +100,7 @@ template <typename Dtype> class TestBatchNormOp {
return out_tensor;
}
private:
private:
const framework::Program<Dtype> program_;
std::shared_ptr<ProgramDesc> to_predict_program_;
std::map<framework::BlockDesc,
......@@ -113,8 +112,7 @@ template <typename Dtype> class TestBatchNormOp {
const Tensor &t4, const Tensor &t5, int block_id) {
std::shared_ptr<BlockDesc> to_predict_block =
to_predict_program_->Block(block_id);
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size();
++j) {
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size(); ++j) {
auto op = ops_of_block_[*to_predict_block.get()][j];
DLOG << "op -> run()";
op->Run();
......@@ -140,8 +138,7 @@ int main() {
auto *inputx1_ptr = inputx1.data<float>();
paddle_mobile::framework::Tensor mean;
SetupTensor<float>(&mean, {10}, static_cast<float>(0),
static_cast<float>(1));
SetupTensor<float>(&mean, {10}, static_cast<float>(0), static_cast<float>(1));
auto *mean_ptr = mean.data<float>();
paddle_mobile::framework::Tensor scale;
......@@ -155,12 +152,11 @@ int main() {
auto *variance_ptr = variance.data<float>();
paddle_mobile::framework::Tensor bias;
SetupTensor<float>(&bias, {10}, static_cast<float>(0),
static_cast<float>(1));
SetupTensor<float>(&bias, {10}, static_cast<float>(0), static_cast<float>(1));
auto *bias_ptr = bias.data<float>();
paddle_mobile::framework::TestBatchNormOp<paddle_mobile::CPU>
testBatchNormOp(program);
paddle_mobile::framework::TestBatchNormOp<paddle_mobile::CPU> testBatchNormOp(
program);
auto output_bn =
testBatchNormOp.predict_bn(inputx1, mean, scale, variance, bias);
......
test/operators/test_concat_op.cpp
浏览文件 @ 1ad8f821
......@@ -24,7 +24,7 @@ namespace paddle_mobile {
namespace framework {
template <typename Dtype> class TestConcatOp {
public:
public:
explicit TestConcatOp(const Program<Dtype> p) : program_(p) {
if (use_optimize_) {
to_predict_program_ = program_.optimizeProgram;
......@@ -41,15 +41,13 @@ template <typename Dtype> class TestConcatOp {
// DLOG << " ops " << ops.size();
for (int j = 0; j < ops.size(); ++j) {
std::shared_ptr<OpDesc> op = ops[j];
if (op->Type() == "concat" &&
op->Input("X")[0] == "conv2d_3.tmp_1") {
if (op->Type() == "concat" && op->Input("X")[0] == "conv2d_3.tmp_1") {
DLOG << " mul attr size: " << op->GetAttrMap().size();
DLOG << " inputs size: " << op->GetInputs().size();
DLOG << " outputs size: " << op->GetOutputs().size();
DLOG << " Input X is : " << op->Input("X")[0];
DLOG << " Output Out is : " << op->Output("Out")[0];
DLOG << " axis : "
<< op->GetAttrMap().at("axis").Get<int>();
DLOG << " axis : " << op->GetAttrMap().at("axis").Get<int>();
std::shared_ptr<operators::ConcatOp<Dtype, float>> concat =
std::make_shared<operators::ConcatOp<Dtype, float>>(
......@@ -94,7 +92,7 @@ template <typename Dtype> class TestConcatOp {
return out_tensor;
}
private:
private:
const framework::Program<Dtype> program_;
std::shared_ptr<ProgramDesc> to_predict_program_;
std::map<framework::BlockDesc,
......@@ -106,8 +104,7 @@ template <typename Dtype> class TestConcatOp {
const Tensor &t4, int block_id) {
std::shared_ptr<BlockDesc> to_predict_block =
to_predict_program_->Block(block_id);
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size();
++j) {
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size(); ++j) {
auto op = ops_of_block_[*to_predict_block.get()][j];
DLOG << "op -> run()";
op->Run();
......@@ -168,8 +165,7 @@ int main() {
/// output (4,100,2,2)
int input_index =
input_n * stride0 + input_c * stride1 + input_h * stride2 + input_w;
int output_index =
input_n * 100 * 2 * 2 +
int output_index = input_n * 100 * 2 * 2 +
(input_c + inputx1.dims()[1] + inputx2.dims()[1]) * 2 * 2 +
input_h * 2 + input_w;
......
test/operators/test_elementwise_add_op.cpp
浏览文件 @ 1ad8f821
......@@ -24,7 +24,7 @@ namespace paddle_mobile {
namespace framework {
template <typename Dtype> class TestElementwiseAddOp {
public:
public:
explicit TestElementwiseAddOp(const Program<Dtype> p) : program_(p) {
if (use_optimize_) {
to_predict_program_ = program_.optimizeProgram;
......@@ -43,8 +43,7 @@ template <typename Dtype> class TestElementwiseAddOp {
std::shared_ptr<OpDesc> op = ops[j];
if (op->Type() == "elementwise_add" &&
op->Input("X")[0] == "batch_norm_2.tmp_2") {
DLOG << " elementwise_add attr size: "
<< op->GetAttrMap().size();
DLOG << " elementwise_add attr size: " << op->GetAttrMap().size();
DLOG << " inputs size: " << op->GetInputs().size();
DLOG << " outputs size: " << op->GetOutputs().size();
DLOG << " Input X is : " << op->Input("X")[0];
......@@ -54,9 +53,8 @@ template <typename Dtype> class TestElementwiseAddOp {
int axis = axis_attr.Get<int>();
DLOG << " Attr axis is : " << axis;
std::shared_ptr<operators::ElementwiseAddOp<Dtype, float>>
add = std::make_shared<
operators::ElementwiseAddOp<Dtype, float>>(
std::shared_ptr<operators::ElementwiseAddOp<Dtype, float>> add =
std::make_shared<operators::ElementwiseAddOp<Dtype, float>>(
op->Type(), op->GetInputs(), op->GetOutputs(),
op->GetAttrMap(), program_.scope);
ops_of_block_[*block_desc.get()].push_back(add);
......@@ -89,7 +87,7 @@ template <typename Dtype> class TestElementwiseAddOp {
return out_tensor;
}
private:
private:
const framework::Program<Dtype> program_;
std::shared_ptr<ProgramDesc> to_predict_program_;
std::map<framework::BlockDesc,
......@@ -100,8 +98,7 @@ template <typename Dtype> class TestElementwiseAddOp {
void predict_add(const Tensor &t1, const Tensor &t2, int block_id) {
std::shared_ptr<BlockDesc> to_predict_block =
to_predict_program_->Block(block_id);
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size();
++j) {
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size(); ++j) {
auto op = ops_of_block_[*to_predict_block.get()][j];
DLOG << "op -> run()";
op->Run();
......
test/operators/test_lrn_op.cpp
浏览文件 @ 1ad8f821
......@@ -24,7 +24,7 @@ namespace paddle_mobile {
namespace framework {
template <typename Dtype> class TestLrnOp {
public:
public:
explicit TestLrnOp(const Program<Dtype> p) : program_(p) {
if (use_optimize_) {
to_predict_program_ = program_.optimizeProgram;
......@@ -41,18 +41,15 @@ template <typename Dtype> class TestLrnOp {
// DLOG << " ops " << ops.size();
for (int j = 0; j < ops.size(); ++j) {
std::shared_ptr<OpDesc> op = ops[j];
if (op->Type() == "lrn" &&
op->Input("X")[0] == "pool2d_0.tmp_0") {
if (op->Type() == "lrn" && op->Input("X")[0] == "pool2d_0.tmp_0") {
DLOG << " mul attr size: " << op->GetAttrMap().size();
DLOG << " inputs size: " << op->GetInputs().size();
DLOG << " outputs size: " << op->GetOutputs().size();
DLOG << " Input X is : " << op->Input("X")[0];
DLOG << " Output Out is : " << op->Output("Out")[0];
DLOG << " n : " << op->GetAttrMap().at("n").Get<int>();
DLOG << " alpha : "
<< op->GetAttrMap().at("alpha").Get<float>();
DLOG << " beta : "
<< op->GetAttrMap().at("beta").Get<float>();
DLOG << " alpha : " << op->GetAttrMap().at("alpha").Get<float>();
DLOG << " beta : " << op->GetAttrMap().at("beta").Get<float>();
DLOG << " k : " << op->GetAttrMap().at("k").Get<float>();
std::shared_ptr<operators::LrnOp<Dtype, float>> lrn =
std::make_shared<operators::LrnOp<Dtype, float>>(
......@@ -84,7 +81,7 @@ template <typename Dtype> class TestLrnOp {
return out_tensor;
}
private:
private:
const framework::Program<Dtype> program_;
std::shared_ptr<ProgramDesc> to_predict_program_;
std::map<framework::BlockDesc,
......@@ -95,8 +92,7 @@ template <typename Dtype> class TestLrnOp {
void predict_lrn(const Tensor &t1, int block_id) {
std::shared_ptr<BlockDesc> to_predict_block =
to_predict_program_->Block(block_id);
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size();
++j) {
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size(); ++j) {
auto op = ops_of_block_[*to_predict_block.get()][j];
DLOG << "op -> run()";
op->Run();
......@@ -151,9 +147,8 @@ int main() {
}
DLOGF("\n");
}
DLOG << inputx1_ptr[0] << " / ((1 + 0.00002 * ( " << inputx1_ptr[0]
<< "^2 + " << inputx1_ptr[4] << "^2 + " << inputx1_ptr[8]
<< "^2 ))^0.75) = ";
DLOG << inputx1_ptr[0] << " / ((1 + 0.00002 * ( " << inputx1_ptr[0] << "^2 + "
<< inputx1_ptr[4] << "^2 + " << inputx1_ptr[8] << "^2 ))^0.75) = ";
DLOG << output_lrn_ptr[0];
return 0;
}
test/operators/test_mul_op.cpp
浏览文件 @ 1ad8f821
......@@ -24,7 +24,7 @@ namespace paddle_mobile {
namespace framework {
template <typename Dtype> class TestMulOp {
public:
public:
explicit TestMulOp(const Program<Dtype> p) : program_(p) {
if (use_optimize_) {
to_predict_program_ = program_.optimizeProgram;
......@@ -41,8 +41,7 @@ template <typename Dtype> class TestMulOp {
// DLOG << " ops " << ops.size();
for (int j = 0; j < ops.size(); ++j) {
std::shared_ptr<OpDesc> op = ops[j];
if (op->Type() == "mul" &&
op->Input("X")[0] == "pool2d_0.tmp_0") {
if (op->Type() == "mul" && op->Input("X")[0] == "pool2d_0.tmp_0") {
DLOG << " mul attr size: " << op->GetAttrMap().size();
DLOG << " inputs size: " << op->GetInputs().size();
DLOG << " outputs size: " << op->GetOutputs().size();
......@@ -88,7 +87,7 @@ template <typename Dtype> class TestMulOp {
return out_tensor;
}
private:
private:
const framework::Program<Dtype> program_;
std::shared_ptr<ProgramDesc> to_predict_program_;
std::map<framework::BlockDesc,
......@@ -99,8 +98,7 @@ template <typename Dtype> class TestMulOp {
void predict_mul(const Tensor &t1, const Tensor &t2, int block_id) {
std::shared_ptr<BlockDesc> to_predict_block =
to_predict_program_->Block(block_id);
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size();
++j) {
for (int j = 0; j < ops_of_block_[*to_predict_block.get()].size(); ++j) {
auto op = ops_of_block_[*to_predict_block.get()][j];
DLOG << "op -> run()";
op->Run();
......
test/test_helper.h
浏览文件 @ 1ad8f821
......@@ -30,7 +30,6 @@ void SetupTensor(paddle_mobile::framework::Tensor *input,
T *input_ptr = input->mutable_data<T>(dims);
for (int i = 0; i < input->numel(); ++i) {
input_ptr[i] =
static_cast<T>(uniform_dist(rng) * (upper - lower) + lower);
input_ptr[i] = static_cast<T>(uniform_dist(rng) * (upper - lower) + lower);
}
}
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