format files

src/framework/program/block_desc.cpp

@@ -17,9 +17,7 @@ limitations under the License. */
 namespace paddle_mobile {
 namespace framework {
 
-std::vector<std::shared_ptr<VarDesc>> BlockDesc::Vars() const {
-  return vars_;
-}
+std::vector<std::shared_ptr<VarDesc>> BlockDesc::Vars() const { return vars_; }
 
 std::vector<std::shared_ptr<OpDesc>> BlockDesc::Ops() const { return ops_; }
 
@@ -30,9 +28,8 @@ BlockDesc::BlockDesc(PaddleMobile__Framework__Proto__BlockDesc *desc)
     vars_.emplace_back(std::shared_ptr<VarDesc>(new VarDesc(var_desc)));
   }
 
-  std::sort(vars_.begin(),
-            vars_.end(),
-            [](std::shared_ptr<VarDesc> left, std::shared_ptr<VarDesc> right){
+  std::sort(vars_.begin(), vars_.end(),
+            [](std::shared_ptr<VarDesc> left, std::shared_ptr<VarDesc> right) {
               return left->Name() < right->Name();
             });
 

src/framework/program/block_desc.h

@@ -36,7 +36,7 @@ class BlockDesc {
 
     for (int i = 0; i < block_desc.vars_.size(); ++i) {
       auto &var_desc = block_desc.vars_[i];
-      vars_.emplace_back(std::make_shared<VarDesc>(*var_desc)) ;
+      vars_.emplace_back(std::make_shared<VarDesc>(*var_desc));
     }
   }
 

src/framework/program/program-optimize/node.h

@@ -14,10 +14,10 @@ limitations under the License. */
 
 #pragma once
 
+#include <cinttypes>
 #include <map>
 #include <string>
 #include <vector>
-#include <cinttypes>
 #include "common/log.h"
 #include "framework/program/op_desc.h"
 

src/framework/program/program.h

@@ -30,6 +30,7 @@ class Program {
   std::string model_path;
   std::string para_path;
   bool is_commbine = false;
+
  private:
 };
 

src/framework/tensor.h

@@ -23,9 +23,9 @@ limitations under the License. */
 #include "common/enforce.h"
 
 #include "common/enforce.h"
+#include "framework/data_layout.h"
 #include "framework/ddim.h"
 #include "memory/t_malloc.h"
-#include "framework/data_layout.h"
 
 namespace paddle_mobile {
 namespace framework {

src/io/io.cpp

@@ -164,9 +164,9 @@ const framework::Program<Dtype, P> Loader<Dtype, P>::Load(
 }
 
 template <typename Dtype, Precision P>
-const framework::Program<Dtype, P> Loader<Dtype, P>::Load(const std::string &model_path,
-                                        const std::string &para_path,
-                                        bool optimize){
+const framework::Program<Dtype, P> Loader<Dtype, P>::Load(
+    const std::string &model_path, const std::string &para_path,
+    bool optimize) {
   auto program = this->LoadProgram(model_path, optimize);
   program.para_path = para_path;
   program.is_commbine = true;
@@ -174,9 +174,8 @@ const framework::Program<Dtype, P> Loader<Dtype, P>::Load(const std::string &mod
 }
 
 template <typename Dtype, Precision P>
-const framework::Program<Dtype, P> Loader<Dtype, P>::LoadProgram(const std::string &model_path,
-                                                                  bool optimize){
-
+const framework::Program<Dtype, P> Loader<Dtype, P>::LoadProgram(
+    const std::string &model_path, bool optimize) {
   std::string model_filename = model_path;
   PaddleMobile__Framework__Proto__ProgramDesc *c_program;
   uint8_t *buf = NULL;
@@ -276,14 +275,12 @@ Executor<Dtype, P>::Executor(const framework::Program<Dtype> p, int batch_size,
   } else {
     InitMemory();
   }
-
 }
 
 template <typename Dtype, Precision P>
 void Executor<Dtype, P>::LoadMemory(const framework::VarDesc var_desc,
                                     framework::LoDTensor *tensor,
                                     const std::string &file_path, char *data) {
-
   // 1. version
   uint32_t version = *(uint32_t *)data;
   data += sizeof(uint32_t);
@@ -383,7 +380,8 @@ void Executor<Dtype, P>::InitMemory() {
           continue;
         }
 
-        char *origin_data = Get_binary_data(program_.model_path + "/" + var_desc->Name());
+        char *origin_data =
+            Get_binary_data(program_.model_path + "/" + var_desc->Name());
         LoadMemory(*var_desc, tensor,
                    program_.model_path + "/" + var_desc->Name(), origin_data);
         delete origin_data;
@@ -399,7 +397,7 @@ void Executor<Dtype, P>::InitMemory() {
 }
 
 template <typename Dtype, Precision P>
-void Executor<Dtype, P>::InitCombineMemory(){
+void Executor<Dtype, P>::InitCombineMemory() {
   char *origin_data = Get_binary_data(program_.para_path);
 
   for (const auto &block : to_predict_program_->Blocks()) {

src/io/io.h

@@ -63,7 +63,8 @@ class Executor {
 
   void InitMemory();
   void LoadMemory(const framework::VarDesc var_desc,
-                  framework::LoDTensor *tensor, const std::string &file_path, char *data);
+                  framework::LoDTensor *tensor, const std::string &file_path,
+                  char *data);
   void InitCombineMemory();
   framework::Program<Dtype> program_;
   int batch_size_ = 1;

test/framework/test_load.cpp

@@ -20,7 +20,8 @@ int main() {
   //  ../../../test/models/googlenet
   //  ../../../test/models/mobilenet
   auto program = loader.Load(g_resnet, true);
-  loader.Load(g_googlenet_combine + "/model", g_googlenet_combine + "/params", true);
+  loader.Load(g_googlenet_combine + "/model", g_googlenet_combine + "/params",
+              true);
 
   program.originProgram->Description("program desc: ");
   return 0;

test/net/test_googlenet.cpp

@@ -22,8 +22,8 @@ int main() {
   auto time1 = time();
 
   auto program = loader.Load(g_googlenet, optimize);
-//  auto program = loader.Load(g_googlenet_combine + "/model",
-//          g_googlenet_combine + "/params", optimize);
+  //  auto program = loader.Load(g_googlenet_combine + "/model",
+  //          g_googlenet_combine + "/params", optimize);
   auto time2 = time();
   DLOG << "load cost :" << time_diff(time1, time2) << "ms\n";
   paddle_mobile::Executor<paddle_mobile::CPU> executor(program, 1, optimize);