transform to c style

Author: peterzhang2029

paddle/capi/examples/model_inference/dense/CMakeLists.txt

@@ -2,5 +2,5 @@ project(dense)
 cmake_minimum_required(VERSION 2.8)
 aux_source_directory(. SRC_LIST)
 add_executable(${PROJECT_NAME} ${SRC_LIST})
-set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11")
+set_property(TARGET ${PROJECT_NAME} PROPERTY C_STANDARD 99)
 target_link_libraries(${PROJECT_NAME} -lpaddle_capi_shared)

paddle/capi/examples/model_inference/dense/main.cpp renamed to paddle/capi/examples/model_inference/dense/main.c

@@ -1,16 +1,14 @@
 #include <paddle/capi.h>
 #include <time.h>
-#include <iostream>
-#include <vector>
 
 #include "../common/common.h"
 
 #define CONFIG_BIN "./trainer_config.bin"
 
 int main() {
   // Initalize Paddle
-  std::string comand[] = {"--use_gpu=False"};
-  CHECK(paddle_init(1, (char**)comand));
+  char* argv[] = {"--use_gpu=False"};
+  CHECK(paddle_init(1, (char**)argv));
 
   // Reading config binary file. It is generated by `convert_protobin.sh`
   long size;
@@ -30,20 +28,19 @@ int main() {
   CHECK(paddle_arguments_resize(in_args, 1));
 
   // Create input matrix.
-  paddle_matrix mat = paddle_matrix_create(/* sample_num */ 10,
+  paddle_matrix mat = paddle_matrix_create(/* sample_num */ 1,
                                            /* size */ 784,
                                            /* useGPU */ false);
   srand(time(0));
 
-  std::vector<paddle_real> input;
-  input.resize(784 * 10);
+  paddle_real* array;
 
-  for (int i = 0; i < input.size(); ++i) {
-    input[i] = rand() / ((float)RAND_MAX);
-  }
+  // Get First row.
+  CHECK(paddle_matrix_get_row(mat, 0, &array));
 
-  // Set value for the input matrix
-  CHECK(paddle_matrix_set_value(mat, input.data()));
+  for (int i = 0; i < 784; ++i) {
+    array[i] = rand() / ((float)RAND_MAX);
+  }
 
   CHECK(paddle_arguments_set_value(in_args, 0, mat));
 
@@ -56,17 +53,15 @@ int main() {
 
   CHECK(paddle_arguments_get_value(out_args, 0, prob));
 
-  std::vector<paddle_real> result;
   uint64_t height;
   uint64_t width;
 
   CHECK(paddle_matrix_get_shape(prob, &height, &width));
-  result.resize(height * width);
-  CHECK(paddle_matrix_get_value(prob, result.data()));
+  CHECK(paddle_matrix_get_row(prob, 0, &array));
 
   printf("Prob: \n");
   for (int i = 0; i < height * width; ++i) {
-    printf("%.4f ", result[i]);
+    printf("%.4f ", array[i]);
     if ((i + 1) % width == 0) {
       printf("\n");
     }