update for google code style

src/common/log.h

@@ -51,12 +51,13 @@ struct Print;
 struct Print {
   friend struct ToLog;
 
-  template <typename T> Print &operator<<(T const &value) {
+  template <typename T>
+  Print &operator<<(T const &value) {
     buffer_ << value;
     return *this;
   }
 
-private:
+ private:
   void print(LogLevel level) {
     buffer_ << std::endl;
     if (level == kLOG_ERROR) {
@@ -76,14 +77,15 @@ struct ToLog {
     printer_ << logs[level] << " " << info << ":" << std::string(blanks, ' ');
   }
 
-  template <typename T> ToLog &operator<<(T const &value) {
+  template <typename T>
+  ToLog &operator<<(T const &value) {
     printer_ << value;
     return *this;
   }
 
   ~ToLog() { printer_.print(level_); }
 
-private:
+ private:
   LogLevel level_;
   Print printer_;
 };
@@ -109,16 +111,16 @@ private:
          << (strrchr(__FILE__, '/') ? (strrchr(__FILE__, '/') + 1) : __FILE__) \
          << "] [line: " << __LINE__ << "] ")                                   \
             .str())
-} // namespace paddle_mobile
+}  // namespace paddle_mobile
 
-#define LOGF(level, format, ...)                                               \
-  if (level > paddle_mobile::log_level) {                                      \
-  } else                                                                       \
+#define LOGF(level, format, ...)          \
+  if (level > paddle_mobile::log_level) { \
+  } else                                  \
     printf(format, ##__VA_ARGS__)
 
-#define DLOGF(format, ...)                                                     \
-  if (paddle_mobile::kLOG_DEBUG > paddle_mobile::log_level) {                  \
-  } else                                                                       \
+#define DLOGF(format, ...)                                    \
+  if (paddle_mobile::kLOG_DEBUG > paddle_mobile::log_level) { \
+  } else                                                      \
     printf(format, ##__VA_ARGS__)
 
 #else
@@ -140,30 +142,34 @@ enum LogLevel {
 struct ToLog;
 struct Print {
   friend struct ToLog;
-  template <typename T> Print &operator<<(T const &value) {}
+  template <typename T>
+  Print &operator<<(T const &value) {}
 
-private:
+ private:
 };
 
 struct ToLog {
   ToLog(LogLevel level) {}
 
-  template <typename T> ToLog &operator<<(T const &value) { return *this; }
+  template <typename T>
+  ToLog &operator<<(T const &value) {
+    return *this;
+  }
 };
 
-#define LOG(level)                                                             \
-  if (true) {                                                                  \
-  } else                                                                       \
+#define LOG(level) \
+  if (true) {      \
+  } else           \
     paddle_mobile::ToLog(level)
 
-#define DLOG                                                                   \
-  if (true) {                                                                  \
-  } else                                                                       \
+#define DLOG  \
+  if (true) { \
+  } else      \
     paddle_mobile::ToLog(paddle_mobile::kLOG_DEBUG)
 
 #define LOGF(level, format, ...)
 
 #define DLOGF(format, ...)
-} // namespace paddle_mobile
+}  // namespace paddle_mobile
 
 #endif

src/common/type_define.h

@@ -17,18 +17,19 @@ SOFTWARE.
 ==============================================================================*/
 #pragma once;
 
-#include "framework/attribute.h"
 #include <map>
 #include <string>
+#include "framework/attribute.h"
 
 namespace paddle_mobile {
 
 namespace framework {
-template <typename Dtype> class OperatorBase;
+template <typename Dtype>
+class OperatorBase;
 class OpDesc;
 class BlockDesc;
 class InferShapeContext;
-} // namespace framework
+}  // namespace framework
 
 using VariableNameMap = std::map<std::string, std::vector<std::string>>;
 
@@ -49,4 +50,4 @@ using InferVarTypeFN = std::function<void(const framework::OpDesc & /*op_desc*/,
                                           framework::BlockDesc * /*block*/)>;
 
 using InferShapeFN = std::function<void(framework::InferShapeContext *)>;
-}; // namespace paddle_mobile
+};  // namespace paddle_mobile

src/common/types.h

@@ -24,7 +24,8 @@ enum class Precision : int { FP32 = 0 };
 //! device type
 enum DeviceTypeEnum { kINVALID = -1, kCPU = 0, kFPGA = 1, kGPU_MALI = 2 };
 
-template <DeviceTypeEnum T> struct DeviceType {};
+template <DeviceTypeEnum T>
+struct DeviceType {};
 
 typedef DeviceType<kCPU> CPU;
 typedef DeviceType<kFPGA> FPGA;
@@ -60,4 +61,4 @@ enum PMStatus {
   PMUnImplError = 0x07,    /*!< Unimplement error. */
   PMWrongDevice = 0x08     /*!< un-correct device. */
 };
-} // namespace paddle_mobile
+}  // namespace paddle_mobile

src/common/variant.h

@@ -21,9 +21,13 @@ SOFTWARE.
 #pragma once
 
 namespace paddle_mobile {
-template <int ID, typename Type> struct IDToType { typedef Type type_t; };
+template <int ID, typename Type>
+struct IDToType {
+  typedef Type type_t;
+};
 
-template <typename F, typename... Ts> struct VariantHelper {
+template <typename F, typename... Ts>
+struct VariantHelper {
   static const size_t size = sizeof(F) > VariantHelper<Ts...>::size
                                  ? sizeof(F)
                                  : VariantHelper<Ts...>::size;
@@ -37,7 +41,8 @@ template <typename F, typename... Ts> struct VariantHelper {
   }
 };
 
-template <typename F> struct VariantHelper<F> {
+template <typename F>
+struct VariantHelper<F> {
   static const size_t size = sizeof(F);
   inline static void Destroy(size_t id, void *data) {
     if (id == typeid(F).hash_code()) {
@@ -48,8 +53,9 @@ template <typename F> struct VariantHelper<F> {
   }
 };
 
-template <size_t size> class RawData {
-public:
+template <size_t size>
+class RawData {
+ public:
   char data[size];
   RawData() {}
   RawData(const RawData &raw_data) { strcpy(data, raw_data.data); }
@@ -58,7 +64,8 @@ public:
   //      }
 };
 
-template <typename... Ts> struct Variant {
+template <typename... Ts>
+struct Variant {
   Variant(const Variant &variant) {
     //        std::cout << " 赋值构造函数 " << std::endl;
     type_id = variant.type_id;
@@ -70,13 +77,15 @@ template <typename... Ts> struct Variant {
     //        helper::Destroy(type_id, &data);
   }
 
-  template <typename T, typename... Args> void Set(Args &&... args) {
+  template <typename T, typename... Args>
+  void Set(Args &&... args) {
     helper::Destroy(type_id, &data);
     new (&data) T(std::forward<Args>(args)...);
     type_id = typeid(T).hash_code();
   }
 
-  template <typename T> T &Get() const {
+  template <typename T>
+  T &Get() const {
     if (type_id == typeid(T).hash_code()) {
       return *const_cast<T *>(reinterpret_cast<const T *>(&data));
     } else {
@@ -87,13 +96,16 @@ 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;
   RawData<helper::size> data;
 };
 
-template <typename T> struct Vistor { typedef T type_t; };
+template <typename T>
+struct Vistor {
+  typedef T type_t;
+};
 
-} // namespace paddle_mobile
+}  // namespace paddle_mobile

src/framework/attribute.cpp

@@ -18,4 +18,4 @@ SOFTWARE.
 
 namespace paddle_mobile {
 namespace framework {}
-} // namespace paddle_mobile
+}  // namespace paddle_mobile

src/framework/attribute.h

@@ -27,80 +27,84 @@ 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;
     switch (attr_desc.type()) {
-    case proto::AttrType::BOOLEAN: {
-      attr.Set<bool>(attr_desc.b());
-      break;
-    }
-    case proto::AttrType::INT: {
-      attr.Set<int>(attr_desc.i());
-      break;
-    }
-    case proto::AttrType::FLOAT: {
-      attr.Set<float>(attr_desc.f());
-      break;
-    }
-    case proto::AttrType::STRING: {
-      attr.Set<std::string>(attr_desc.s());
-      break;
-    }
-    case proto::AttrType::BOOLEANS: {
-      std::vector<bool> val(attr_desc.bools_size());
-      for (int i = 0; i < attr_desc.bools_size(); ++i) {
-        val[i] = attr_desc.bools(i);
+      case proto::AttrType::BOOLEAN: {
+        attr.Set<bool>(attr_desc.b());
+        break;
       }
-      attr.Set<std::vector<bool>>(val);
-      break;
-    }
-    case proto::AttrType::INTS: {
-      std::vector<int> val(attr_desc.ints_size());
-      for (int i = 0; i < attr_desc.ints_size(); ++i) {
-        val[i] = attr_desc.ints(i);
+      case proto::AttrType::INT: {
+        attr.Set<int>(attr_desc.i());
+        break;
       }
-      attr.Set<std::vector<int>>(val);
-      break;
-    }
-    case proto::AttrType::FLOATS: {
-      std::vector<float> val(attr_desc.floats_size());
-      for (int i = 0; i < attr_desc.floats_size(); ++i) {
-        val[i] = attr_desc.floats(i);
+      case proto::AttrType::FLOAT: {
+        attr.Set<float>(attr_desc.f());
+        break;
       }
-      attr.Set<std::vector<float>>(val);
-      break;
-    }
-    case proto::AttrType::STRINGS: {
-      std::vector<std::string> val(attr_desc.strings_size());
-      for (int i = 0; i < attr_desc.strings_size(); ++i) {
-        val[i] = attr_desc.strings(i);
+      case proto::AttrType::STRING: {
+        attr.Set<std::string>(attr_desc.s());
+        break;
       }
-      attr.Set<std::vector<std::string>>(val);
-      break;
-    }
-    case proto::AttrType::LONG: {
-      attr.Set<int64_t>(attr_desc.l());
-      break;
-    }
-    default:
-      //        std::cout << " not support " << std::endl;
-      break;
+      case proto::AttrType::BOOLEANS: {
+        std::vector<bool> val(attr_desc.bools_size());
+        for (int i = 0; i < attr_desc.bools_size(); ++i) {
+          val[i] = attr_desc.bools(i);
+        }
+        attr.Set<std::vector<bool>>(val);
+        break;
+      }
+      case proto::AttrType::INTS: {
+        std::vector<int> val(attr_desc.ints_size());
+        for (int i = 0; i < attr_desc.ints_size(); ++i) {
+          val[i] = attr_desc.ints(i);
+        }
+        attr.Set<std::vector<int>>(val);
+        break;
+      }
+      case proto::AttrType::FLOATS: {
+        std::vector<float> val(attr_desc.floats_size());
+        for (int i = 0; i < attr_desc.floats_size(); ++i) {
+          val[i] = attr_desc.floats(i);
+        }
+        attr.Set<std::vector<float>>(val);
+        break;
+      }
+      case proto::AttrType::STRINGS: {
+        std::vector<std::string> val(attr_desc.strings_size());
+        for (int i = 0; i < attr_desc.strings_size(); ++i) {
+          val[i] = attr_desc.strings(i);
+        }
+        attr.Set<std::vector<std::string>>(val);
+        break;
+      }
+      case proto::AttrType::LONG: {
+        attr.Set<int64_t>(attr_desc.l());
+        break;
+      }
+      default:
+        //        std::cout << " not support " << std::endl;
+        break;
     }
     //    std::cout << "end get attr value" << std::endl;
     return attr;
   }
 
   Attribute() {}
-  template <typename T, typename... Args> Attribute &Set(Args &&... args) {
+  template <typename T, typename... Args>
+  Attribute &Set(Args &&... args) {
     variant_.Set<T>(args...);
     return *this;
   }
 
-  template <typename T> T &Get() const { return variant_.Get<T>(); }
+  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>
@@ -110,10 +114,11 @@ private:
 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 {
+  template <typename T>
+  inline T Get(const std::string &name) const {
     //          PADDLE_ENFORCE(attrs_.count(name) != 0, "%s should
     //          be in
     //          AttributeMap",
@@ -121,9 +126,9 @@ public:
     return ((Attribute)attrs_.at(name)).Get<T>();
   }
 
-private:
+ private:
   const AttributeMap &attrs_;
 };
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/block_desc.cpp

@@ -46,5 +46,5 @@ BlockDesc::BlockDesc(const proto::BlockDesc &desc) : desc_(desc) {
   }
 }
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/block_desc.h

@@ -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(); }
@@ -45,18 +45,19 @@ public:
   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_;
 };
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile
 
 namespace std {
 
-template <> struct hash<paddle_mobile::framework::BlockDesc> {
+template <>
+struct hash<paddle_mobile::framework::BlockDesc> {
   typedef paddle_mobile::framework::BlockDesc argument_type;
   typedef std::size_t result_type;
   result_type operator()(argument_type const &s) const noexcept {
@@ -66,4 +67,4 @@ template <> struct hash<paddle_mobile::framework::BlockDesc> {
   }
 };
 
-} // namespace std
+}  // namespace std

src/framework/data_layout.h

@@ -46,15 +46,15 @@ inline DataLayout StringToDataLayout(const std::string &str) {
 
 inline std::string DataLayoutToString(const DataLayout &data_layout) {
   switch (data_layout) {
-  case DataLayout::kNHWC:
-    return "NHWC";
-  case DataLayout::kNCHW:
-    return "NCHW";
-  case DataLayout::kAnyLayout:
-    return "ANY_LAYOUT";
-  default:
-    break;
-    //      std::cout << "unknown DataLayou %d", data_layout;
+    case DataLayout::kNHWC:
+      return "NHWC";
+    case DataLayout::kNCHW:
+      return "NCHW";
+    case DataLayout::kAnyLayout:
+      return "ANY_LAYOUT";
+    default:
+      break;
+      //      std::cout << "unknown DataLayou %d", data_layout;
   }
 }
 
@@ -63,5 +63,5 @@ inline std::ostream &operator<<(std::ostream &out, const DataLayout &l) {
   return out;
 }
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/data_transform.cpp

@@ -88,5 +88,5 @@ void CopyVariableWithTensor(const Variable &in_var, const Tensor &tensor,
   //  }
 }
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/data_transform.h

@@ -37,5 +37,5 @@ void DataTransform(const OpKernelType &expected_kernel_type,
 void CopyVariableWithTensor(const Variable &in_var, const Tensor &tensor,
                             Variable &out_var);
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/data_type.h

@@ -40,4 +40,4 @@ namespace framework {
 //        }
 //    }
 }
-} // namespace paddle_mobile
+}  // namespace paddle_mobile

src/framework/ddim.cc

@@ -19,49 +19,53 @@ namespace framework {
 
 /// @cond HIDDEN
 
-template <int i> Dim<i> make_dim(const int64_t *d) {
+template <int i>
+Dim<i> make_dim(const int64_t *d) {
   return Dim<i>(*d, make_dim<i - 1>(d + 1));
 }
 
-template <> Dim<0> make_dim<0>(const int64_t *d) { return Dim<0>(*d); }
+template <>
+Dim<0> make_dim<0>(const int64_t *d) {
+  return Dim<0>(*d);
+}
 
 void make_ddim(DDim &ddim, const int64_t *dims, int n) {
   switch (n) {
-  case 0:
-    ddim = make_dim<0>(dims);
-    break;
-  case 1:
-    ddim = make_dim<1>(dims);
-    break;
-  case 2:
-    ddim = make_dim<2>(dims);
-    break;
-  case 3:
-    ddim = make_dim<3>(dims);
-    break;
-  case 4:
-    ddim = make_dim<4>(dims);
-    break;
-  case 5:
-    ddim = make_dim<5>(dims);
-    break;
-  case 6:
-    ddim = make_dim<6>(dims);
-    break;
-  case 7:
-    ddim = make_dim<7>(dims);
-    break;
-  case 8:
-    ddim = make_dim<8>(dims);
-    break;
-  case 9:
-    ddim = make_dim<9>(dims);
-    break;
-  default:
-    //      std::cout << "Dynamic dimensions must have between [1,
-    //      9]
-    //      dimensions.";
-    break;
+    case 0:
+      ddim = make_dim<0>(dims);
+      break;
+    case 1:
+      ddim = make_dim<1>(dims);
+      break;
+    case 2:
+      ddim = make_dim<2>(dims);
+      break;
+    case 3:
+      ddim = make_dim<3>(dims);
+      break;
+    case 4:
+      ddim = make_dim<4>(dims);
+      break;
+    case 5:
+      ddim = make_dim<5>(dims);
+      break;
+    case 6:
+      ddim = make_dim<6>(dims);
+      break;
+    case 7:
+      ddim = make_dim<7>(dims);
+      break;
+    case 8:
+      ddim = make_dim<8>(dims);
+      break;
+    case 9:
+      ddim = make_dim<9>(dims);
+      break;
+    default:
+      //      std::cout << "Dynamic dimensions must have between [1,
+      //      9]
+      //      dimensions.";
+      break;
   }
 }
 
@@ -90,24 +94,28 @@ 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 {
+  template <int D>
+  int64_t operator()(const Dim<D> &dim) const {
     return dim[idx_];
   }
 
-private:
+ private:
   int idx_;
 };
 
@@ -182,7 +190,8 @@ struct VectorizeVisitor : Vistor<void> {
 
   explicit VectorizeVisitor(std::vector<int64_t> &v) : vector(v) {}
 
-  template <typename T> void operator()(const T &t) {
+  template <typename T>
+  void operator()(const T &t) {
     vector.push_back(t.head);
     this->operator()(t.tail);
   }
@@ -207,7 +216,8 @@ std::vector<int> vectorize2int(const DDim &ddim) {
 }
 
 struct ProductVisitor : Vistor<int64_t> {
-  template <int D> int64_t operator()(const Dim<D> &dim) {
+  template <int D>
+  int64_t operator()(const Dim<D> &dim) {
     return product(dim);
   }
 };
@@ -233,7 +243,8 @@ struct SliceVectorizeVisitor : Vistor<void> {
     //                   ddim slice.");
   }
 
-  template <int S> void operator()(const Dim<S> &dim) {
+  template <int S>
+  void operator()(const Dim<S> &dim) {
     if (begin == 0) {
       vector.push_back(dim.head);
     } else {
@@ -264,7 +275,10 @@ DDim slice_ddim(const DDim &ddim, int begin, int end) {
 /// \cond HIDDEN
 
 struct ArityVisitor : Vistor<int> {
-  template <int D> int operator()(Dim<D>) const { return D; }
+  template <int D>
+  int operator()(Dim<D>) const {
+    return D;
+  }
 };
 
 /// \endcond
@@ -282,11 +296,12 @@ int arity(const DDim &d) {
 struct OSVistor : Vistor<std::ostream &> {
   OSVistor(std::ostream &os) : os_(os) {}
 
-  template <int D> std::ostream &operator()(Dim<D> dim) const {
+  template <int D>
+  std::ostream &operator()(Dim<D> dim) const {
     return os_ << dim;
   }
 
-private:
+ private:
   std::ostream &os_;
 };
 
@@ -326,5 +341,5 @@ DDim stride_numel(const framework::DDim &ddim) {
   return framework::make_ddim(strides);
 }
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/ddim.h

@@ -14,12 +14,12 @@ limitations under the License. */
 
 #pragma once
 
-#include "common/variant.h"
-#include "dim.h"
 #include <assert.h>
 #include <initializer_list>
 #include <stdexcept>
 #include <vector>
+#include "common/variant.h"
+#include "dim.h"
 
 namespace paddle_mobile {
 namespace framework {
@@ -66,11 +66,15 @@ struct DDim {
 
   DDim() { var.Set<Dim<1>>(Dim<1>()); }
 
-  template <int D> explicit DDim(const Dim<D> &in) { var.Set<Dim<D>>(in); }
+  template <int D>
+  explicit DDim(const Dim<D> &in) {
+    var.Set<Dim<D>>(in);
+  }
 
   /*implicit*/ DDim(std::initializer_list<int64_t> init_list);
 
-  template <int D> DDim &operator=(const Dim<D> &in) {
+  template <int D>
+  DDim &operator=(const Dim<D> &in) {
     var.Set<Dim<D>>(in);
     return *this;
   }
@@ -159,5 +163,5 @@ DDim flatten_to_1d(const DDim &src);
 DDim stride(const DDim &ddim);
 
 DDim stride_numel(const DDim &ddim);
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/dim.h

@@ -24,7 +24,8 @@ namespace paddle_mobile {
 namespace framework {
 
 // Statically sized, statically indexed dimension
-template <int i> struct Dim {
+template <int i>
+struct Dim {
   static constexpr int dimensions = i;
 
   template <typename... Args>
@@ -70,7 +71,8 @@ template <int i> struct Dim {
 };
 
 // Base case specialization
-template <> struct Dim<0> {
+template <>
+struct Dim<0> {
   static constexpr int dimensions = 0;
 
   HOSTDEVICE
@@ -105,28 +107,37 @@ template <> struct Dim<0> {
 namespace {
 
 // Helper for accessing Dim classes
-template <int i> struct DimGetter {
+template <int i>
+struct DimGetter {
   // Return a copy if Dim is const
-  template <typename D> HOSTDEVICE static int64_t impl(const D &d) {
+  template <typename D>
+  HOSTDEVICE static int64_t impl(const D &d) {
     return DimGetter<i - 1>::impl(d.tail);
   }
   // Return a reference if Dim is mutable
-  template <typename D> HOSTDEVICE static int64_t &impl(D &d) {
+  template <typename D>
+  HOSTDEVICE static int64_t &impl(D &d) {
     return DimGetter<i - 1>::impl(d.tail);
   }
 };
 
 // Eureka! We found the element!
-template <> struct DimGetter<0> {
+template <>
+struct DimGetter<0> {
   // Return a copy if Dim is const
-  template <typename D> HOSTDEVICE static int64_t impl(const D &d) {
+  template <typename D>
+  HOSTDEVICE static int64_t impl(const D &d) {
     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) {
+template <int D>
+HOSTDEVICE int64_t &indexer(Dim<D> &dim, int idx) {
 #ifndef __CUDA_ARCH__
   if (idx < 0) {
     throw std::invalid_argument("Tried to access a negative dimension");
@@ -140,7 +151,8 @@ template <int D> HOSTDEVICE int64_t &indexer(Dim<D> &dim, int idx) {
   return indexer(dim.tail, idx - 1);
 }
 
-template <> HOSTDEVICE int64_t &indexer<0>(Dim<0> &dim, int idx) {
+template <>
+HOSTDEVICE int64_t &indexer<0>(Dim<0> &dim, int idx) {
 #ifndef __CUDA_ARCH__
   throw std::invalid_argument("Invalid index");
 #else
@@ -156,7 +168,8 @@ template <> HOSTDEVICE int64_t &indexer<0>(Dim<0> &dim, int idx) {
 #endif
 }
 
-template <int D> HOSTDEVICE int64_t indexer(const Dim<D> &dim, int idx) {
+template <int D>
+HOSTDEVICE int64_t indexer(const Dim<D> &dim, int idx) {
 #ifndef __CUDA_ARCH__
   if (idx < 0) {
     throw std::invalid_argument("Tried to access a negative dimension");
@@ -170,7 +183,8 @@ template <int D> HOSTDEVICE int64_t indexer(const Dim<D> &dim, int idx) {
   return indexer(dim.tail, idx - 1);
 }
 
-template <> HOSTDEVICE int64_t indexer<0>(const Dim<0> &dim, int idx) {
+template <>
+HOSTDEVICE int64_t indexer<0>(const Dim<0> &dim, int idx) {
 #ifndef __CUDA_ARCH__
   throw std::invalid_argument("Invalid index");
 #else
@@ -186,25 +200,29 @@ template <> HOSTDEVICE int64_t indexer<0>(const Dim<0> &dim, int idx) {
 #endif
 }
 
-} // namespace
+}  // namespace
 // Static access to constant Dim
-template <int i, int l> HOSTDEVICE int64_t get(const Dim<l> &d) {
+template <int i, int l>
+HOSTDEVICE int64_t get(const Dim<l> &d) {
   return DimGetter<i>::impl(d);
 }
 
 // Static access to mutable Dim
-template <int i, int l> HOSTDEVICE int64_t &get(Dim<l> &d) {
+template <int i, int l>
+HOSTDEVICE int64_t &get(Dim<l> &d) {
   return DimGetter<i>::impl(d);
 }
 
 // Dynamic access to constant Dim
-template <int l> HOSTDEVICE int64_t Dim<l>::operator[](int i) const {
+template <int l>
+HOSTDEVICE int64_t Dim<l>::operator[](int i) const {
   //  std::cout << "l: " << l << std::endl;
   return indexer(*this, i);
 }
 
 // Dynamic access to mutable Dim
-template <int l> HOSTDEVICE int64_t &Dim<l>::operator[](int i) {
+template <int l>
+HOSTDEVICE int64_t &Dim<l>::operator[](int i) {
   return indexer(*this, i);
 }
 
@@ -247,13 +265,15 @@ HOSTDEVICE inline int64_t linearize(const Dim<0> &a, const Dim<0> &b) {
 }
 
 // Product of a Dim
-template <int i> HOSTDEVICE int64_t product(const Dim<i> &a, int prod = 1) {
+template <int i>
+HOSTDEVICE int64_t product(const Dim<i> &a, int prod = 1) {
   return prod * a.head * product(a.tail);
 }
 
 // Base case product of a Dim
 // Notice it is inline because it is no longer a template
-template <> HOSTDEVICE inline int64_t product(const Dim<0> &a, int prod) {
+template <>
+HOSTDEVICE inline int64_t product(const Dim<0> &a, int prod) {
   return prod;
 }
 
@@ -282,7 +302,8 @@ HOSTDEVICE Dim<i> ex_prefix_mul(const Dim<i> &src, int mul = 1) {
 ///\cond HIDDEN
 // Base case of ex_prefix_mul
 // Notice it is inline because it is no longer a template
-template <> HOSTDEVICE inline Dim<0> ex_prefix_mul(const Dim<0> &src, int mul) {
+template <>
+HOSTDEVICE inline Dim<0> ex_prefix_mul(const Dim<0> &src, int mul) {
   return Dim<0>();
 }
 ///\endcond
@@ -290,7 +311,8 @@ template <> HOSTDEVICE inline Dim<0> ex_prefix_mul(const Dim<0> &src, int mul) {
 /**
  * Add two dimensions together
  */
-template <int i> HOSTDEVICE Dim<i> dim_plus(const Dim<i> &a, const Dim<i> &b) {
+template <int i>
+HOSTDEVICE Dim<i> dim_plus(const Dim<i> &a, const Dim<i> &b) {
   return Dim<i>(a.head + b.head, dim_plus(a.tail, b.tail));
 }
 
@@ -308,7 +330,8 @@ HOSTDEVICE Dim<i> operator+(const Dim<i> &lhs, const Dim<i> &rhs) {
 /**
  * Multiply two dimensions together
  */
-template <int i> HOSTDEVICE Dim<i> dim_mult(const Dim<i> &a, const Dim<i> &b) {
+template <int i>
+HOSTDEVICE Dim<i> dim_mult(const Dim<i> &a, const Dim<i> &b) {
   return Dim<i>(a.head * b.head, dim_mult(a.tail, b.tail));
 }
 
@@ -365,8 +388,8 @@ HOSTDEVICE Dim<sizeof...(Args)> make_dim(Args... idxes) {
 // Allows us to output a Dim
 // XXX For some reason, overloading fails to resolve this correctly
 template <int i>
-typename std::enable_if<(i > 1), std::ostream &>::type
-operator<<(std::ostream &os, const Dim<i> &d) {
+typename std::enable_if<(i > 1), std::ostream &>::type operator<<(
+    std::ostream &os, const Dim<i> &d) {
   os << d.head << ", " << d.tail;
   return os;
 }
@@ -374,8 +397,8 @@ operator<<(std::ostream &os, const Dim<i> &d) {
 // Base case that allows us to output a Dim
 // XXX I wish this could be an overload instead of a template
 template <int i>
-typename std::enable_if<(i == 1), std::ostream &>::type
-operator<<(std::ostream &os, const Dim<i> &d) {
+typename std::enable_if<(i == 1), std::ostream &>::type operator<<(
+    std::ostream &os, const Dim<i> &d) {
   os << d.head;
   return os;
 }
@@ -384,7 +407,8 @@ inline std::ostream &operator<<(std::ostream &os, const Dim<0> &d) {
   return os;
 }
 
-template <int i> HOST std::string Dim<i>::to_string() const {
+template <int i>
+HOST std::string Dim<i>::to_string() const {
   std::stringstream stream;
 
   stream << *this;
@@ -406,5 +430,5 @@ HOSTDEVICE Dim<D> linear_to_dimension(int linear_index, Dim<D> extents) {
   return result;
 }
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/executor.cpp

@@ -90,5 +90,5 @@ void Executor<Dtype>::predict(const Tensor &t, int block_id) {
 
 template class Executor<CPU>;
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/executor.h

@@ -34,15 +34,16 @@ SOFTWARE.
 namespace paddle_mobile {
 namespace framework {
 
-template <typename Dtype> class Executor {
-public:
+template <typename Dtype>
+class Executor {
+ 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_;
 
@@ -54,5 +55,5 @@ public:
   bool use_optimize_ = false;
 };
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile

src/framework/lod_tensor.cc

@@ -13,10 +13,10 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "lod_tensor.h"
-#include <algorithm>
-#include <iterator>
 #include <stdint.h>
 #include <string.h>
+#include <algorithm>
+#include <iterator>
 
 namespace paddle_mobile {
 namespace framework {
@@ -105,8 +105,7 @@ LoD SliceInLevel(const LoD &in, size_t level, size_t elem_begin,
 
 LoD ToAbsOffset(const LoD &in) {
   // the lowest level stores relative offsets
-  if (in.empty() || in.size() == 1)
-    return in;
+  if (in.empty() || in.size() == 1) return in;
   LoD result = in;
   for (auto level = static_cast<int>(in.size() - 2); level >= 0; level--) {
     for (size_t i = 0; i < in[level].size(); ++i) {
@@ -138,23 +137,19 @@ bool operator==(const LoD &a, const LoD &b) {
 }
 
 bool CheckLoD(const LoD &in, int tensor_height) {
-  if (in.empty())
-    return true;
+  if (in.empty()) return true;
   for (const auto &level : in) {
     // check: there should be more than 2 offsets existing in each
     // level.
-    if (level.size() < 2)
-      return false;
+    if (level.size() < 2) return false;
     // check: the first offset(the begin offset) of each level
     // should be 0.
-    if (level.front() != 0)
-      return false;
+    if (level.front() != 0) return false;
     // 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 (a < b)
-            return true;
+          if (a < b) return true;
           return false;
         })) {
       std::cout << "ascending error";
@@ -174,22 +169,19 @@ bool CheckLoD(const LoD &in, int tensor_height) {
   // goes
   // first.
   for (size_t level = 0; level < in.size() - 1; level++) {
-    if (in[level].back() != in[level + 1].size() - 1)
-      return false;
+    if (in[level].back() != in[level + 1].size() - 1) return false;
   }
   return true;
 }
 
 bool CheckAbsLoD(const LoD &in, int tensor_height) {
-  if (in.empty())
-    return true;
+  if (in.empty()) return true;
   for (const auto &level : in) {
     // 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 (a < b)
-            return true;
+          if (a < b) return true;
           return false;
         })) {
       return false;
@@ -197,14 +189,12 @@ bool CheckAbsLoD(const LoD &in, int tensor_height) {
 
     // check: there should be more than 2 offsets existing in each
     // level.
-    if (level.size() < 2)
-      return false;
+    if (level.size() < 2) return false;
 
     // check: the first offset of each level should be 0, and the
     // last should be
     // the same(the height of underlying tensor).
-    if (level.front() != 0)
-      return false;
+    if (level.front() != 0) return false;
     if (tensor_height < 0) {
       tensor_height = level.back();
     } else if ((size_t)tensor_height != level.back()) {
@@ -242,7 +232,7 @@ void AppendLoD(LoD *lod, const LoD &lod_length) {
   //      lod.");
   if (lod->empty()) {
     for (size_t i = 0; i < lod_length.size(); ++i) {
-      lod->emplace_back(1, 0); // size = 1, value = 0;
+      lod->emplace_back(1, 0);  // size = 1, value = 0;
     }
     *lod = LoD(lod_length.size(), std::vector<size_t>({0}));
   }
@@ -255,7 +245,7 @@ void AppendLoD(LoD *lod, const LoD &lod_length) {
 }
 
 void SerializeToStream(std::ostream &os, const LoDTensor &tensor) {
-  { // the 1st field, uint32_t version for LoDTensor
+  {  // the 1st field, uint32_t version for LoDTensor
     constexpr uint32_t version = 0;
     os.write(reinterpret_cast<const char *>(&version), sizeof(version));
   }
@@ -307,5 +297,5 @@ void DeserializeFromStream(std::istream &is, LoDTensor *tensor) {
   TensorFromStream(is, static_cast<Tensor *>(tensor));
 }
 
-} // namespace framework
-} // namespace paddle_mobile
+}  // namespace framework
+}  // namespace paddle_mobile