imp prior_box kernel and add superrelution test file

src/operators/kernel/cl/prior_box_kernel.cpp

@@ -39,8 +39,8 @@ void PriorBoxKernel<GPU_CL, float>::Compute(
   const auto &input_aspect_ratio = param.AspectRatios();
   const bool &flip = param.Flip();
   const bool &clip = param.Clip();
-  int isclip =0;
-    if(clip){
+  int isclip = 0;
+  if (clip) {
     isclip = 1;
   }
   const float &step_w = param.StepW();
@@ -146,11 +146,11 @@ void PriorBoxKernel<GPU_CL, float>::Compute(
   DLOG << "num_priors:" << num_priors;
   DLOG << "C:" << C;
   DLOG << "isclip:" << isclip;
-  for(int i=0;i<num_priors;i++){
-    DLOG<<box_width[i];
+  for (int i = 0; i < num_priors; i++) {
+    DLOG << box_width[i];
   }
-  for(int i=0;i<num_priors;i++){
-    DLOG<<box_height[i];
+  for (int i = 0; i < num_priors; i++) {
+    DLOG << box_height[i];
   }
   status = clSetKernelArg(kernel, 0, sizeof(int), &c_block);
   CL_CHECK_ERRORS(status);

test/net/test_super.cpp

@@ -25,9 +25,9 @@ int main() {
   paddle_mobile.SetCLPath("/data/local/tmp/bin");
 #endif
 
-    auto isok =
-            paddle_mobile.Load(std::string(g_super) + "/model",
-                               std::string(g_super) + "/params",true, false,1,true);
+  auto isok = paddle_mobile.Load(std::string(g_super) + "/model",
+                                 std::string(g_super) + "/params", true, false,
+                                 1, true);
 
   //  auto isok = paddle_mobile.Load(std::string(g_mobilenet_mul), true);
   if (isok) {
@@ -36,16 +36,15 @@ int main() {
               << std::endl;
 
     std::vector<float> input;
-        std::vector<int64_t> dims{1, 1,300, 300};
+    std::vector<int64_t> dims{1, 1, 300, 300};
     GetInput<float>(g_yolo_img, &input, dims);
 
-        std::vector<float> vec_result ;
+    std::vector<float> vec_result;
 
     auto time3 = paddle_mobile::time();
     int max = 10;
     for (int i = 0; i < max; ++i) {
       vec_result = paddle_mobile.Predict(input, dims);
-
     }
     auto time4 = paddle_mobile::time();