format files

src/operators/kernel/cl/conv_add_bn_relu_kernel.cpp

@@ -125,7 +125,6 @@ bool ConvAddBNReluKernel<GPU_CL, float>::Init(
 
   param->SetOffset(offset);
 
-
   /*
   if (param->Filter()->dims()[2] == 1 &&
       param->Filter()->dims()[3] == 1 &&
@@ -136,8 +135,7 @@ bool ConvAddBNReluKernel<GPU_CL, float>::Init(
     DLOG << " conv add bn relu conv 1x1 4";
   }
   */
-  if (param->Filter()->dims()[2] == 1 &&
-      param->Filter()->dims()[3] == 1) {
+  if (param->Filter()->dims()[2] == 1 && param->Filter()->dims()[3] == 1) {
     param->Filter()->InitNImage(cl_helper_.CLContext(),
                                 cl_helper_.CLCommandQueue());
     this->cl_helper_.AddKernel("conv_1x1", "conv_add_bn_relu_kernel.cl");

test/framework/test_load.cpp

@@ -12,8 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License. */
 
-#include <string>
 #include <iostream>
+#include <string>
 
 #include "../test_helper.h"
 #include "framework/loader.h"
@@ -37,8 +37,8 @@ int main() {
 
   //  auto program = loader.Load(g_mobilenet_ssd, true);
 
-//  auto program = loader.Load(std::string(g_ocr) + "/model",
-//                             std::string(g_ocr) + "/params", false);
+  //  auto program = loader.Load(std::string(g_ocr) + "/model",
+  //                             std::string(g_ocr) + "/params", false);
   //  program.originProgram->Description("program desc: ");
 
   return 0;

test/net/test_yologpu.cpp

@@ -58,9 +58,9 @@ int main() {
         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;
-//        for (float i : vec_result) {
-//            std::cout << i << std::endl;
-//        }
+    //        for (float i : vec_result) {
+    //            std::cout << i << std::endl;
+    //        }
   }
   return 0;
 }