change function names to avoid ambiguity for FPGA track

src/framework/executor.cpp

@@ -476,7 +476,7 @@ void Executor<Device, T>::FeedData(const std::vector<void *> &v) {
 }
 
 template <typename Device, typename T>
-void Executor<Device, T>::FeedData(const vector<framework::Tensor> &v) {
+void Executor<Device, T>::FeedTensorData(const vector<framework::Tensor> &v) {
   auto input_size = v.size();
   auto vars = program_.scope->VarContain("feed");
   PADDLE_MOBILE_ENFORCE(input_size == vars.size(),
@@ -503,7 +503,8 @@ void Executor<Device, T>::GetResults(std::vector<void *> *v) {
 }
 
 template <typename Device, typename T>
-void Executor<Device, T>::GetResults(std::vector<framework::Tensor *> *v) {
+void Executor<Device, T>::GetTensorResults(
+    std::vector<framework::Tensor *> *v) {
   auto output_size = v->size();
   PADDLE_MOBILE_ENFORCE(output_size > 0, "Empty output");
   auto vars = program_.scope->VarContain("fetch");

src/framework/executor.h

@@ -53,10 +53,10 @@ class Executor {
   void InjectVariable(const Tensor &t, std::string var_name);
   void FeedData(const Tensor &t);
   void FeedData(const std::vector<void *> &v);
-  void FeedData(const std::vector<framework::Tensor> &v);
+  void FeedTensorData(const std::vector<framework::Tensor> &v);
 
   void GetResults(std::vector<void *> *v);
-  void GetResults(std::vector<framework::Tensor *> *v);
+  void GetTensorResults(std::vector<framework::Tensor *> *v);
 
   std::shared_ptr<Tensor> FetchResult(int id = -1);
   void Predict_From_To(int start = 0, int end = -1);

src/io/api_paddle_mobile.cc

@@ -145,7 +145,7 @@ void PaddleMobilePredictor<Device, T>::FeedPaddleTensors(
     tensors[i].init(typeid(float));
     ConvertPaddleTensors(inputs[i], &tensors[i]);
   }
-  paddle_mobile_->FeedData(tensors);
+  paddle_mobile_->FeedTensorData(tensors);
 }
 
 template <typename Device, typename T>
@@ -154,7 +154,7 @@ void PaddleMobilePredictor<Device, T>::FetchPaddleTensors(
   auto num = outputs->size();
   PADDLE_MOBILE_ENFORCE(num > 0, "0 output pointers is not permitted");
   std::vector<framework::Tensor *> tensors(num, nullptr);
-  paddle_mobile_->GetResults(&tensors);
+  paddle_mobile_->GetTensorResults(&tensors);
   for (int i = 0; i < num; i++) {
     ConvertTensors(*tensors[i], &(*outputs)[i]);
   }

src/io/paddle_mobile.cpp

@@ -233,9 +233,9 @@ void PaddleMobile<Device, T>::FeedData(const std::vector<void *> &v) {
 };
 
 template <typename Device, typename T>
-void PaddleMobile<Device, T>::FeedData(
+void PaddleMobile<Device, T>::FeedTensorData(
     const std::vector<framework::Tensor> &v) {
-  executor_->FeedData(v);
+  executor_->FeedTensorData(v);
 };
 
 template <typename Device, typename T>
@@ -244,8 +244,9 @@ void PaddleMobile<Device, T>::GetResults(std::vector<void *> *v) {
 }
 
 template <typename Device, typename T>
-void PaddleMobile<Device, T>::GetResults(std::vector<framework::Tensor *> *v) {
-  executor_->GetResults(v);
+void PaddleMobile<Device, T>::GetTensorResults(
+    std::vector<framework::Tensor *> *v) {
+  executor_->GetTensorResults(v);
 }
 
 template <typename Device, typename T>

src/io/paddle_mobile.h

@@ -91,10 +91,10 @@ class PaddleMobile {
   void InjectVariable(const framework::Tensor &t, std::string var_name);
   void FeedData(const framework::Tensor &t);
   void FeedData(const std::vector<void *> &v);
-  void FeedData(const std::vector<framework::Tensor> &v);
+  void FeedTensorData(const std::vector<framework::Tensor> &v);
 
   void GetResults(std::vector<void *> *v);
-  void GetResults(std::vector<framework::Tensor *> *v);
+  void GetTensorResults(std::vector<framework::Tensor *> *v);
 
   std::shared_ptr<framework::Tensor> FetchResult(int id = -1);
   void Predict_From_To(int start = 0, int end = -1);