sync code with remote

test/fpga/test_mobilenet_api.cpp

@@ -19,13 +19,8 @@ limitations under the License. */
 #include <iostream>
 #include "../../src/io/paddle_inference_api.h"
 
-<<<<<<< HEAD
-using namespace paddle_mobile;
-using namespace paddle_mobile::fpga;
-=======
 using namespace paddle_mobile;        // NOLINT
 using namespace paddle_mobile::fpga;  // NOLINT
->>>>>>> upstream/develop
 
 static const char *g_image = "../images/mobilenet_txtdata/1.txt";
 static const char *g_model = "../models/keycurve_l2_regular4_model/__model__";
@@ -57,21 +52,12 @@ signed char float_to_int8(float fdata) {
 }
 void quantize(float **data_in, int data_size) {
   float *tmp = *data_in;
-<<<<<<< HEAD
-  signed char *tmp_data =
-      (signed char *)paddle_mobile::fpga::fpga_malloc(data_size * sizeof(char));
-=======
   signed char *tmp_data = (signed char *)fpga_malloc(data_size * sizeof(char));
->>>>>>> upstream/develop
   for (int i = 0; i < data_size; i++) {
     tmp_data[i] = float_to_int8((*data_in)[i] + 128);
   }
   *data_in = (float *)tmp_data;  // NOLINT
-<<<<<<< HEAD
-  paddle_mobile::fpga::fpga_free(tmp);
-=======
   fpga_free(tmp);
->>>>>>> upstream/develop
 }
 
 void convert_to_chw(float **data_in, int channel, int height, int width,
@@ -92,12 +78,8 @@ void dump_stride_float(std::string filename, PaddleTensor input_tensor) {
   int h = (input_tensor.shape)[2];
   int w = (input_tensor.shape)[3];
   int n = (input_tensor.shape)[0];
-<<<<<<< HEAD
-  float *data_tmp = reinterpret_cast<float *>(malloc(c * h * w * sizeof(float)));
-=======
   float *data_tmp =
       reinterpret_cast<float *>(malloc(c * h * w * sizeof(float)));
->>>>>>> upstream/develop
   convert_to_chw(&data_ptr, c, h, w, data_tmp);
   std::ofstream out(filename.c_str());
   float result = 0;
@@ -138,11 +120,7 @@ int main() {
   open_device();
   PaddleMobileConfig config = GetConfig();
   auto predictor =
-<<<<<<< HEAD
-      CreatePaddlePredictor<PaddleMobileConfig,
-=======
       CreatePaddlePredictor<paddle_mobile::PaddleMobileConfig,
->>>>>>> upstream/develop
                             PaddleEngineKind::kPaddleMobile>(config);
 
   std::cout << "Finishing loading model" << std::endl;

test/fpga/test_yolo_api.cpp

@@ -19,13 +19,8 @@ limitations under the License. */
 #include <iostream>
 #include "../../src/io/paddle_inference_api.h"
 
-<<<<<<< HEAD
-using namespace paddle_mobile;
-using namespace paddle_mobile::fpga;
-=======
 using namespace paddle_mobile;        // NOLINT
 using namespace paddle_mobile::fpga;  // NOLINT
->>>>>>> upstream/develop
 
 static const char *g_image = "../images/yolo_test_txtimg/1.txt";
 static const char *g_model = "../models/yolo_bn_l2_model/__model__";
@@ -56,21 +51,12 @@ signed char float_to_int8(float fdata) {
 }
 void quantize(float **data_in, int data_size) {
   float *tmp = *data_in;
-<<<<<<< HEAD
-  signed char *tmp_data =
-      (signed char *)paddle_mobile::fpga::fpga_malloc(data_size * sizeof(char));
-=======
   signed char *tmp_data = (signed char *)fpga_malloc(data_size * sizeof(char));
->>>>>>> upstream/develop
   for (int i = 0; i < data_size; i++) {
     tmp_data[i] = float_to_int8((*data_in)[i] + 128);
   }
   *data_in = (float *)tmp_data;  // NOLINT
-<<<<<<< HEAD
-  paddle_mobile::fpga::fpga_free(tmp);
-=======
   fpga_free(tmp);
->>>>>>> upstream/develop
 }
 
 void convert_to_chw(float **data_in, int channel, int height, int width,
@@ -91,12 +77,8 @@ void dump_stride_float(std::string filename, PaddleTensor input_tensor) {
   int h = (input_tensor.shape)[2];
   int w = (input_tensor.shape)[3];
   int n = (input_tensor.shape)[0];
-<<<<<<< HEAD
-  float *data_tmp = reinterpret_cast<float *>(malloc(c * h * w * sizeof(float)));
-=======
   float *data_tmp =
       reinterpret_cast<float *>(malloc(c * h * w * sizeof(float)));
->>>>>>> upstream/develop
   convert_to_chw(&data_ptr, c, h, w, data_tmp);
   std::ofstream out(filename.c_str());
   float result = 0;