From 08b1b21a540ca813f0e2cc8294ead0323e01d082 Mon Sep 17 00:00:00 2001
From: yangfei <yangfei11@baidu.com>
Date: Mon, 19 Nov 2018 15:11:24 +0800
Subject: [PATCH] imp prior_box kernel and add superrelution test file

---
 src/operators/kernel/cl/prior_box_kernel.cpp | 16 ++---
 test/net/test_super.cpp                      | 67 ++++++++++----------
 2 files changed, 41 insertions(+), 42 deletions(-)

diff --git a/src/operators/kernel/cl/prior_box_kernel.cpp b/src/operators/kernel/cl/prior_box_kernel.cpp
index 79ffb9680a..7867cf5ab1 100644
--- a/src/operators/kernel/cl/prior_box_kernel.cpp
+++ b/src/operators/kernel/cl/prior_box_kernel.cpp
@@ -39,10 +39,10 @@ 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){
-        isclip = 1;
-    }
+  int isclip = 0;
+  if (clip) {
+    isclip = 1;
+  }
   const float &step_w = param.StepW();
   const float &step_h = param.StepH();
   const float &offset = param.Offset();
@@ -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);
diff --git a/test/net/test_super.cpp b/test/net/test_super.cpp
index d28d779835..1ee1fc0f85 100644
--- a/test/net/test_super.cpp
+++ b/test/net/test_super.cpp
@@ -18,48 +18,47 @@ limitations under the License. */
 #include "../test_include.h"
 
 int main() {
-    paddle_mobile::PaddleMobile<paddle_mobile::GPU_CL> paddle_mobile;
-    //    paddle_mobile.SetThreadNum(4);
-    auto time1 = paddle_mobile::time();
+  paddle_mobile::PaddleMobile<paddle_mobile::GPU_CL> paddle_mobile;
+  //    paddle_mobile.SetThreadNum(4);
+  auto time1 = paddle_mobile::time();
 #ifdef PADDLE_MOBILE_CL
-    paddle_mobile.SetCLPath("/data/local/tmp/bin");
+  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) {
-        auto time2 = paddle_mobile::time();
-        std::cout << "load cost :" << paddle_mobile::time_diff(time1, time2) << "ms"
-                  << std::endl;
-
-        std::vector<float> input;
-        std::vector<int64_t> dims{1, 1,300, 300};
-        GetInput<float>(g_yolo_img, &input, dims);
-
-        std::vector<float> vec_result ;
+  //  auto isok = paddle_mobile.Load(std::string(g_mobilenet_mul), true);
+  if (isok) {
+    auto time2 = paddle_mobile::time();
+    std::cout << "load cost :" << paddle_mobile::time_diff(time1, time2) << "ms"
+              << std::endl;
 
-        auto time3 = paddle_mobile::time();
-        int max = 10;
-        for (int i = 0; i < max; ++i) {
-            vec_result = paddle_mobile.Predict(input, dims);
+    std::vector<float> input;
+    std::vector<int64_t> dims{1, 1, 300, 300};
+    GetInput<float>(g_yolo_img, &input, dims);
 
-        }
-        auto time4 = paddle_mobile::time();
+    std::vector<float> vec_result;
 
-        std::cout << "predict cost :"
-                  << paddle_mobile::time_diff(time3, time4) / max << "ms"
-                  << std::endl;
-        std::vector<float>::iterator biggest =
-                std::max_element(std::begin(vec_result), std::end(vec_result));
-        std::cout << " Max element is " << *biggest << " at position "
-                  << std::distance(std::begin(vec_result), biggest) << std::endl;
+    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();
 
-    std::cout << "如果结果Nan请查看: test/images/g_test_image_1x3x224x224_banana "
-            "是否存在?"
+    std::cout << "predict cost :"
+              << paddle_mobile::time_diff(time3, time4) / max << "ms"
               << std::endl;
-    return 0;
+    std::vector<float>::iterator biggest =
+        std::max_element(std::begin(vec_result), std::end(vec_result));
+    std::cout << " Max element is " << *biggest << " at position "
+              << std::distance(std::begin(vec_result), biggest) << std::endl;
+  }
+
+  std::cout << "如果结果Nan请查看: test/images/g_test_image_1x3x224x224_banana "
+               "是否存在?"
+            << std::endl;
+  return 0;
 }
-- 
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