diff --git a/mobile/test/fpga/test_marker_api.cpp b/mobile/test/fpga/test_marker_api.cpp
index 29cf6561df1afae1fae5494bcb8fa6606d3999df..19e051a38d2b853dda8a9364ac1ea64ae3f38acb 100644
--- a/mobile/test/fpga/test_marker_api.cpp
+++ b/mobile/test/fpga/test_marker_api.cpp
@@ -104,7 +104,7 @@ void dump_stride_float(std::string filename,
 
 void dump_stride(std::string filename,
                  paddle_mobile::PaddleTensor input_tensor) {
-  if (input_tensor.dtypeid == type_id<float>().hash_code()) {
+  if (input_tensor.dtypeid == PaddlekTypeId_t::paddle_float) {
     dump_stride_float(filename, input_tensor);
   } else {
     std::cout << "only support dumping float data" << std::endl;
@@ -156,13 +156,13 @@ int main() {
 
   std::cout << "Finishing initializing data" << std::endl;
   struct PaddleTensor t_img_info, t_img;
-  t_img_info.dtypeid = type_id<float>().hash_code();
+  t_img_info.dtypeid = PaddlekTypeId_t::paddle_float;
   t_img_info.layout = LAYOUT_HWC;
   t_img_info.shape = std::vector<int>({1, 3});
   t_img_info.name = "Image information";
   t_img_info.data.Reset(img_info, 3 * sizeof(float));
 
-  t_img.dtypeid = type_id<float>().hash_code();
+  t_img.dtypeid = PaddlekTypeId_t::paddle_float;
   // quantize(&img, img_length);
   // t_img.dtypeid = typeid(int8_t);
   t_img.layout = LAYOUT_HWC;
@@ -209,7 +209,7 @@ int main() {
     std::cout << "Finishing initializing data" << std::endl;
     struct PaddleTensor t_img1;
 
-    t_img1.dtypeid = type_id<float>().hash_code();
+    t_img1.dtypeid = PaddlekTypeId_t::paddle_float;
     t_img1.layout = LAYOUT_HWC;
     t_img1.shape = std::vector<int>({1, 14, 14, 144});
     t_img1.name = "Image information";
diff --git a/mobile/test/fpga/test_mobilenet_api.cpp b/mobile/test/fpga/test_mobilenet_api.cpp
index 09392e9d38f8a0312715da2aae74e1e039c2452e..5c0a594ca8c4692b7c0a07afb72bf260b3c6086d 100644
--- a/mobile/test/fpga/test_mobilenet_api.cpp
+++ b/mobile/test/fpga/test_mobilenet_api.cpp
@@ -96,7 +96,7 @@ void dump_stride_float(std::string filename, PaddleTensor input_tensor) {
 }
 
 void dump_stride(std::string filename, PaddleTensor input_tensor) {
-  if (input_tensor.dtypeid == type_id<float>().hash_code()) {
+  if (input_tensor.dtypeid == PaddlekTypeId_t::paddle_float) {
     dump_stride_float(filename, input_tensor);
   } else {
     std::cout << "only support dumping float data" << std::endl;
@@ -131,7 +131,7 @@ int main() {
   std::cout << "Finishing initializing data" << std::endl;
   struct PaddleTensor t_img;
   t_img.dtype = FLOAT32;
-  t_img.dtypeid = type_id<float>().hash_code();
+  t_img.dtypeid = PaddlekTypeId_t::paddle_float;
   // quantize(&img, img_length);
   // t_img.dtype = INT8;
   // t_img.dtypeid = typeid(int8_t);
diff --git a/mobile/test/fpga/test_rfcn_api.cpp b/mobile/test/fpga/test_rfcn_api.cpp
index e86743cc7e7b8fdb48a034aebd5a53224674b6f5..b8b031bf59a47b7ac9a0f71b828596aaad15e3f1 100644
--- a/mobile/test/fpga/test_rfcn_api.cpp
+++ b/mobile/test/fpga/test_rfcn_api.cpp
@@ -117,13 +117,13 @@ int main() {
 
   std::cout << "Finishing initializing data" << std::endl;
   struct PaddleTensor t_img_info, t_img;
-  t_img.dtypeid = type_id<float>().hash_code();
+  t_img.dtypeid = PaddlekTypeId_t::paddle_float;
   t_img_info.layout = LAYOUT_HWC;
   t_img_info.shape = std::vector<int>({1, 3});
   t_img_info.name = "Image information";
   t_img_info.data.Reset(img_info, 3 * sizeof(float));
 
-  t_img.dtypeid = type_id<float>().hash_code();
+  t_img.dtypeid = PaddlekTypeId_t::paddle_float;
   t_img.layout = LAYOUT_HWC;
   t_img.shape = std::vector<int>({1, 432, 1280, 3});
   t_img.name = "Image information";
diff --git a/mobile/test/fpga/test_yolo_api.cpp b/mobile/test/fpga/test_yolo_api.cpp
index f8f1a48abca74b76f77e7f8d59371b7672a8b453..161d695418654b2198a59889ee44583901d25c2b 100644
--- a/mobile/test/fpga/test_yolo_api.cpp
+++ b/mobile/test/fpga/test_yolo_api.cpp
@@ -95,7 +95,7 @@ void dump_stride_float(std::string filename, PaddleTensor input_tensor) {
 }
 
 void dump_stride(std::string filename, PaddleTensor input_tensor) {
-  if (input_tensor.dtypeid == type_id<float>().hash_code()) {
+  if (input_tensor.dtypeid == PaddlekTypeId_t::paddle_float) {
     dump_stride_float(filename, input_tensor);
   } else {
     std::cout << "only support dumping float data" << std::endl;
@@ -134,7 +134,7 @@ int main() {
   // t_img.dtypeid = type_id<float>().hash_code();
   quantize(&img, img_length);
   t_img.dtype = INT8;
-  t_img.dtypeid = type_id<int8_t>().hash_code();
+  t_img.dtypeid = PaddlekTypeId_t::paddle_int8_t;
   t_img.layout = LAYOUT_HWC;
   t_img.shape = std::vector<int>({1, 256, 416, 3});
   t_img.name = "Image information";