diff --git a/paddle/fluid/inference/anakin/convert/test_fc_op.cc b/paddle/fluid/inference/anakin/convert/test_fc_op.cc
index 87bce36403fab59fb38697478ed68ff8e68fed7a..ee6d1dc291fe3733ff2e9f66dd453120fa266a55 100644
--- a/paddle/fluid/inference/anakin/convert/test_fc_op.cc
+++ b/paddle/fluid/inference/anakin/convert/test_fc_op.cc
@@ -37,8 +37,6 @@ TEST(fc_op, test) {
   desc.SetInput("X", {"mul_x"});
   desc.SetInput("Y", {"mul_y"});
   desc.SetOutput("Out", {"mul_out"});
-  // int num_flatten_dims = 3;
-  // desc.SetAttr("x_num_col_dims", num_flatten_dims);
   validator.SetOp(*desc.Proto());
 
   validator.Execute(10);
diff --git a/paddle/fluid/inference/anakin/engine.cc b/paddle/fluid/inference/anakin/engine.cc
index 39be7865149c70d0514e0a0cc64d0175437469d7..ccf78ad7e56306d24af829c45c888021f4e3fbc4 100644
--- a/paddle/fluid/inference/anakin/engine.cc
+++ b/paddle/fluid/inference/anakin/engine.cc
@@ -90,14 +90,6 @@ void AnakinEngine<TargetT, PrecisionType, RunType>::Execute(
                    "The anakin input max shape should be greater than"
                    " or equal to the real input shape, Please set the max "
                    "input shape using EnableAnakinEngine");
-    /*
-    if (tensor->numel() > net_shape.count()) {
-      graph_->Reshape(input.first, fluid_input_shape);
-      net_.reset(new AnakinNetT<TargetT, PrecisionType, RunType>(true));
-      net_->init(*graph_);
-      anakin_input = net_->get_in(input.first);
-    }
-    */
     anakin_input->reshape(fluid_input_shape);
 
     ::anakin::saber::Tensor<TargetT> tmp_anakin_tensor(data, TargetT(), 0,
diff --git a/paddle/fluid/inference/api/details/zero_copy_tensor.cc b/paddle/fluid/inference/api/details/zero_copy_tensor.cc
index d2e2a98a85509be9eb81b1a6e7d36d9d4d583df4..937b6398f8131a6cf4e8b0002e38f4513f0f884f 100644
--- a/paddle/fluid/inference/api/details/zero_copy_tensor.cc
+++ b/paddle/fluid/inference/api/details/zero_copy_tensor.cc
@@ -74,7 +74,7 @@ T *ZeroCopyTensor::data(PaddlePlace *place, int *size) const {
   return res;
 }
 
-PaddleDType ZeroCopyTensor::type() {
+PaddleDType ZeroCopyTensor::type() const {
   EAGER_GET_TENSOR;
   auto type = tensor->type();
   if (type == framework::proto::VarType::FP32) {
diff --git a/paddle/fluid/inference/api/paddle_api.h b/paddle/fluid/inference/api/paddle_api.h
index 52c5cb34b5378cea1788bb8845f42cfe2f6590b4..87f40f09eb9bb552bd246cb39bbbd41abac1c9ac 100644
--- a/paddle/fluid/inference/api/paddle_api.h
+++ b/paddle/fluid/inference/api/paddle_api.h
@@ -177,7 +177,7 @@ class ZeroCopyTensor {
     device_ = device;
   }
 
-  PaddleDType type();
+  PaddleDType type() const;
 
  protected:
   explicit ZeroCopyTensor(void* scope) : scope_{scope} {}
diff --git a/paddle/fluid/operators/anakin/anakin_engine_op.h b/paddle/fluid/operators/anakin/anakin_engine_op.h
index 5da3cc1777625d6b5f91b29c30ba5e192ee4db0f..9d5b4f6f54ccfc9802cef6abac428e28a72ac293 100644
--- a/paddle/fluid/operators/anakin/anakin_engine_op.h
+++ b/paddle/fluid/operators/anakin/anakin_engine_op.h
@@ -120,41 +120,7 @@ class AnakinEngineOp : public framework::OperatorBase {
           inference::Singleton<inference::anakin::AnakinEngineManager>::Global()
               .Get(engine_key_);
     }
-    // BUG here, detect that the tensor data pointer here will change sometime.
-    // Will fix it later.
-    /*
-    // For share with the tensor from fluid, We do the net init in the first net
-    precit.
-    if (!anakin_engine_->IsInit()) {
-       auto temp_max_input_shape = anakin_engine_->GetMaxInputShape();
-       anakin_engine_->AllocTmpMem();
-       for(auto& input : Inputs("Xs")) {
-          if (param_names_.count(input)) continue;
-          platform::CUDAPlace
-    gpu_place(boost::get<platform::CUDAPlace>(dev_place).device);
-          auto *input_var = scope.FindVar(input);
-          auto input_tensor = input_var->GetMutable<framework::LoDTensor>();
-          auto input_max_shape = temp_max_input_shape[input];
-
-          framework::LoDTensor temp_t;
-          auto t_dims = input_tensor->dims();
-          temp_t.Resize(t_dims);
-          TensorCopySync(*input_tensor, dev_place, &temp_t);
-          input_tensor->Resize(framework::make_ddim(input_max_shape));
-          input_tensor->mutable_data<float>(dev_place);
-          TensorCopySync(temp_t, dev_place, input_tensor);
-
-          auto* input_data = input_tensor->mutable_data<float>(gpu_place);
-          auto* anakin_input = anakin_engine_->Net()->get_in(input);
-
-          ::anakin::saber::Tensor<::anakin::saber::NV>
-    tmp_anakin_tensor(input_data,
-                ::anakin::saber::NV(), 0, input_max_shape);
-          anakin_input->share_from(tmp_anakin_tensor);
-      }
-      anakin_engine_->InitGraph();
-    }
-    */
+
     return anakin_engine_;
   }