change format

test/fpga/test_marker_api.cpp

@@ -75,7 +75,8 @@ void convert_to_chw(float **data_in, int channel, int height, int width,
   }
 }
 
-void dump_stride_float(std::string filename, paddle_mobile::PaddleTensor input_tensor) {
+void dump_stride_float(std::string filename,
+                       paddle_mobile::PaddleTensor input_tensor) {
   auto data_ptr = reinterpret_cast<float *>(input_tensor.data.data());
   int c = (input_tensor.shape)[1];
   int h = (input_tensor.shape)[2];
@@ -83,7 +84,7 @@ void dump_stride_float(std::string filename, paddle_mobile::PaddleTensor input_t
   int n = (input_tensor.shape)[0];
   float *data_tmp =
       reinterpret_cast<float *>(malloc(c * h * w * sizeof(float)));
-    //convert_to_chw(&data_ptr, c, h, w, data_tmp);
+  // convert_to_chw(&data_ptr, c, h, w, data_tmp);
   std::ofstream out(filename.c_str());
   float result = 0;
   int datasize = abs(c * h * w * n);
@@ -98,7 +99,8 @@ void dump_stride_float(std::string filename, paddle_mobile::PaddleTensor input_t
   out.close();
 }
 
-void dump_stride(std::string filename, paddle_mobile::PaddleTensor input_tensor) {
+void dump_stride(std::string filename,
+                 paddle_mobile::PaddleTensor input_tensor) {
   if (input_tensor.dtypeid == typeid(float)) {
     dump_stride_float(filename, input_tensor);
   } else {
@@ -135,17 +137,16 @@ PaddleMobileConfig GetConfig1() {
 int main() {
   open_device();
 
-
   PaddleMobileConfig config1 = GetConfig1();
   auto predictor1 =
       CreatePaddlePredictor<PaddleMobileConfig,
                             PaddleEngineKind::kPaddleMobile>(config1);
 
   std::cout << "Finishing loading model" << std::endl;
-for(int i = 0; i < 1; ++i){
-
+  for (int i = 0; i < 1; ++i) {
     int img_length1 = 144 * 14 * 14;
-  auto img1 = reinterpret_cast<float *>(fpga_malloc(img_length1 * sizeof(float)));
+    auto img1 =
+        reinterpret_cast<float *>(fpga_malloc(img_length1 * sizeof(float)));
     readStream(g_image1, reinterpret_cast<char *>(img1));
 
     std::cout << "Finishing initializing data" << std::endl;
@@ -170,8 +171,8 @@ for(int i = 0; i < 1; ++i){
       std::string dumpName = "marker2_api_fetch_" + std::to_string(fetchNum);
       dump_stride(dumpName, v1[fetchNum]);
     }
-}
-/////////////////////////////////////
+  }
+  /////////////////////////////////////
 
   PaddleMobileConfig config = GetConfig();
   auto predictor =
@@ -194,14 +195,14 @@ for(int i = 0; i < 1; ++i){
   t_img_info.data.Reset(img_info, 3 * sizeof(float));
 
   t_img.dtypeid = typeid(float);
-  //quantize(&img, img_length);
-  //t_img.dtypeid = typeid(int8_t);
+  // quantize(&img, img_length);
+  // t_img.dtypeid = typeid(int8_t);
   t_img.layout = LAYOUT_HWC;
   t_img.shape = std::vector<int>({1, 432, 1280, 3});
   t_img.name = "Image information";
   t_img.data.Reset(img, img_length * sizeof(float));
-  //t_img.data.Reset(img, img_length * sizeof(int8_t));
-// for(int i = 0; i < 100; ++i){
+  // t_img.data.Reset(img, img_length * sizeof(int8_t));
+  // for(int i = 0; i < 100; ++i){
   predictor->FeedPaddleTensors({t_img_info, t_img});
 
   std::cout << "Finishing feeding data " << std::endl;

test/fpga/test_mobilenet_api.cpp

@@ -19,8 +19,8 @@ limitations under the License. */
 #include <iostream>
 #include "../../src/io/paddle_inference_api.h"
 
-using namespace paddle_mobile;  //NOLINT
-using namespace paddle_mobile::fpga;  //NOLINT
+using namespace paddle_mobile;        // NOLINT
+using namespace paddle_mobile::fpga;  // NOLINT
 
 static const char *g_image = "../images/mobilenet_txtdata/1.txt";
 static const char *g_model = "../models/keycurve_l2_regular4_model/__model__";
@@ -119,7 +119,9 @@ PaddleMobileConfig GetConfig() {
 int main() {
   open_device();
   PaddleMobileConfig config = GetConfig();
-  auto predictor = CreatePaddlePredictor<paddle_mobile::PaddleMobileConfig, PaddleEngineKind::kPaddleMobile>(config);
+  auto predictor =
+      CreatePaddlePredictor<paddle_mobile::PaddleMobileConfig,
+                            PaddleEngineKind::kPaddleMobile>(config);
 
   std::cout << "Finishing loading model" << std::endl;
   int img_length = 256 * 416 * 3;

test/fpga/test_yolo_api.cpp

@@ -19,8 +19,8 @@ limitations under the License. */
 #include <iostream>
 #include "../../src/io/paddle_inference_api.h"
 
-using namespace paddle_mobile;  //NOLINT
-using namespace paddle_mobile::fpga;  //NOLINT
+using namespace paddle_mobile;        // NOLINT
+using namespace paddle_mobile::fpga;  // NOLINT
 
 static const char *g_image = "../images/yolo_test_txtimg/1.txt";
 static const char *g_model = "../models/yolo_bn_l2_model/__model__";
@@ -51,8 +51,7 @@ signed char float_to_int8(float fdata) {
 }
 void quantize(float **data_in, int data_size) {
   float *tmp = *data_in;
-  signed char *tmp_data =
-      (signed char *)fpga_malloc(data_size * sizeof(char));
+  signed char *tmp_data = (signed char *)fpga_malloc(data_size * sizeof(char));
   for (int i = 0; i < data_size; i++) {
     tmp_data[i] = float_to_int8((*data_in)[i] + 128);
   }
@@ -120,7 +119,9 @@ PaddleMobileConfig GetConfig() {
 int main() {
   open_device();
   PaddleMobileConfig config = GetConfig();
-  auto predictor = CreatePaddlePredictor<PaddleMobileConfig, PaddleEngineKind::kPaddleMobile>(config);
+  auto predictor =
+      CreatePaddlePredictor<PaddleMobileConfig,
+                            PaddleEngineKind::kPaddleMobile>(config);
 
   std::cout << "Finishing loading model" << std::endl;
   int img_length = 256 * 416 * 3;