diff --git a/src/framework/executor.cpp b/src/framework/executor.cpp
index c755924b8e3a1ede3f0d01ac418e1f3f04a0ffa9..1b441bc5bdfed264f525dda571278067d2ae99b7 100644
--- a/src/framework/executor.cpp
+++ b/src/framework/executor.cpp
@@ -417,78 +417,6 @@ std::vector<typename Executor<Dtype, P>::Ptype> Executor<Dtype, P>::Predict(
   }
 }
 
-#ifdef PADDLE_MOBILE_FPGA
-
-template <typename Dtype, Precision P>
-void Executor<Dtype, P>::InjectVariable(const framework::Tensor &t,
-                                        string var_name) {
-  framework::Variable *g_feed_value = program_.scope->Var(var_name);
-  framework::Tensor *feed_tensor =
-      g_feed_value->GetMutable<framework::LoDTensor>();
-  feed_tensor->Resize(t.dims());
-  feed_tensor->ShareDataWith(t);
-}
-
-template <typename Dtype, Precision P>
-void Executor<Dtype, P>::FeedData(const framework::Tensor &t) {
-  InjectVariable(t, "feed");
-}
-
-template <typename Dtype, Precision P>
-std::shared_ptr<framework::Tensor> Executor<Dtype, P>::FetchResult(int id) {
-  std::shared_ptr<framework::BlockDesc> to_predict_block =
-      to_predict_program_->Block(0);
-  auto &ops = ops_of_block_[*to_predict_block.get()];
-
-  PADDLE_MOBILE_ENFORCE(id < ops.size(), "Index out of range");
-  auto last_op = id < 0 ? ops[ops.size() - 1] : ops[id];
-  auto output_map = last_op->Outputs();
-  std::vector<std::string> out_keys = last_op->GetOutKeys();
-  PADDLE_MOBILE_ENFORCE(!out_keys.empty(), "the last op contains no output");
-  auto *output_tensor = framework::GetVarValue<framework::LoDTensor>(
-      out_keys[0], output_map, *(program_.scope));
-  return std::make_shared<framework::Tensor>(framework::Tensor(*output_tensor));
-}
-
-template <typename Dtype, Precision P>
-void Executor<Dtype, P>::Predict_From_To(int start, int end) {
-  std::shared_ptr<framework::BlockDesc> to_predict_block =
-      to_predict_program_->Block(0);
-  auto &ops = ops_of_block_[*to_predict_block.get()];
-  end = end < 0 ? static_cast<int>(ops.size()) : end;
-  PADDLE_MOBILE_ENFORCE(start >= 0 && start < end && end <= ops.size(),
-                        "start or end parameter is wrong");
-
-#ifdef PADDLE_MOBILE_PROFILE
-  std::vector<ProfInfo> profile(ops.size());
-#endif
-  for (int i = start; i < end; i++) {
-#ifdef PADDLE_MOBILE_PROFILE
-    struct timespec ts;
-    clock_gettime(CLOCK_MONOTONIC, &ts);
-    profile[i].runBegin = (uint64_t)ts.tv_sec * 1e9 + ts.tv_nsec;
-#endif
-    DLOG << "Running op: " << i << "  " << ops[i]->Type();
-    ops[i]->Run();
-
-#ifdef PADDLE_MOBILE_PROFILE
-    clock_gettime(CLOCK_MONOTONIC, &ts);
-    profile[i].runEnd = (uint64_t)ts.tv_sec * 1e9 + ts.tv_nsec;
-#endif
-  }
-}
-
-template <typename Dtype, Precision P>
-void Executor<Dtype, P>::Predict_From(int start) {
-  Predict_From_To(start);
-}
-
-template <typename Dtype, Precision P>
-void Executor<Dtype, P>::Predict_To(int end) {
-  Predict_From_To(0, end);
-}
-#endif
-
 #ifdef PADDLE_MOBILE_FPGA
 template <typename Dtype, Precision P>
 void Executor<Dtype, P>::InjectVariable(const framework::Tensor &t,