diff --git a/lite/backends/opencl/cl_kernel/image/conv2d_3x3_opt_kernel.cl b/lite/backends/opencl/cl_kernel/image/conv2d_3x3_opt_kernel.cl
index a9d3d4d44ae9a736a9fe648d3e6d4078fb890bd7..468dd1a8a30ca572d76ed0e20acf59e6906e0e1c 100644
--- a/lite/backends/opencl/cl_kernel/image/conv2d_3x3_opt_kernel.cl
+++ b/lite/backends/opencl/cl_kernel/image/conv2d_3x3_opt_kernel.cl
@@ -14,23 +14,23 @@ limitations under the License. */
 
 #include <cl_common.h>
 
-__kernel void conv2d_3x3(__private const int item_ch, 
-                         __private const int item_w,
-                         __private const int item_h, 
-                         __read_only image2d_t input_image,
-                         __read_only image2d_t filter_image,
+__kernel void conv2d_3x3_opt(__private const int item_ch, 
+                             __private const int item_w,
+                             __private const int item_h, 
+                             __read_only image2d_t input_image,
+                             __read_only image2d_t filter_image,
 #if defined(BIASE_CH) || defined(BIASE_ELE)
-                         __read_only image2d_t bias,
+                             __read_only image2d_t bias,
 #endif
-                         __write_only image2d_t output_image, 
-                         __private const int stride,
-                         __private const int pad, 
-                         __private const int dilation,
-                         __private const int in_ch, 
-                         __private const int in_w,
-                         __private const int in_h, 
-                         __private const int out_w,
-                         __private const int out_h) {
+                             __write_only image2d_t output_image, 
+                             __private const int stride,
+                             __private const int pad, 
+                             __private const int dilation,
+                             __private const int in_ch, 
+                             __private const int in_w,
+                             __private const int in_h, 
+                             __private const int out_w,
+                             __private const int out_h) {
 
   const sampler_t sampler =
       CLK_NORMALIZED_COORDS_TRUE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
diff --git a/lite/demo/cxx/mobile_light/mobilenetv1_light_api.cc b/lite/demo/cxx/mobile_light/mobilenetv1_light_api.cc
index 0d09c6e928105dd064f1cf8c4953212d5f63b152..3eaf63e7f9be80cf36c475476c644516bbc75fbd 100644
--- a/lite/demo/cxx/mobile_light/mobilenetv1_light_api.cc
+++ b/lite/demo/cxx/mobile_light/mobilenetv1_light_api.cc
@@ -31,7 +31,7 @@ int64_t ShapeProduction(const shape_t& shape) {
 std::string ShapePrint(const shape_t& shape) {
   std::string shape_str{""};
   for (auto i : shape) {
-    shape_str = shape_str + std::to_string(i) + " ";
+    shape_str += std::to_string(i) + " ";
   }
   return shape_str;
 }
@@ -153,9 +153,9 @@ int main(int argc, char** argv) {
   std::string model_dir = argv[1];
   if (argc >= 9) {
     input_shape[0] = atoi(argv[2]);
-    input_shape[1] = atoi(argv[4]);
-    input_shape[2] = atoi(argv[5]);
-    input_shape[3] = atoi(argv[6]);
+    input_shape[1] = atoi(argv[3]);
+    input_shape[2] = atoi(argv[4]);
+    input_shape[3] = atoi(argv[5]);
     repeats = atoi(argv[6]);
     warmup = atoi(argv[7]);
     print_output_elem = atoi(argv[8]);
diff --git a/lite/kernels/opencl/conv_image_compute.cc b/lite/kernels/opencl/conv_image_compute.cc
index 859db34f0c8d2d5727c6bfdc4c28633aa0a19bbb..04692d9d75c650a7a9ac41a24e21e036e17f8d46 100644
--- a/lite/kernels/opencl/conv_image_compute.cc
+++ b/lite/kernels/opencl/conv_image_compute.cc
@@ -98,7 +98,7 @@ void ConvImageCompute::PrepareForRun() {
         filter_image_dims[0], filter_image_dims[1], filter_image_v.data());
 
     impl_ = &ConvImageCompute::Conv2d1x1;
-// # define DEPTH_CONV_USE_SPL
+// #define DEPTH_CONV_USE_SPL
 #ifdef DEPTH_CONV_USE_SPL
   } else if (filter_dims[1] == 1 && x_dims[1] == output_dims[1] &&
              kernel_h == 3 && kernel_w == 3 && groups > 1) {
@@ -142,7 +142,7 @@ void ConvImageCompute::PrepareForRun() {
     impl_ = &ConvImageCompute::DepthwiseConv2d;
   } else if (kernel_h == 3 && kernel_h == 3) {
     // conv2d_3x3
-    kernel_func_names_.push_back("conv2d_3x3");
+    kernel_func_names_.push_back("conv2d_3x3_opt");
     kernel_func_paths_.push_back("image/conv2d_3x3_opt_kernel.cl");
 
     CLImageConverterFolder converter;
diff --git a/lite/kernels/opencl/elementwise_add_buffer_compute_test.cc b/lite/kernels/opencl/elementwise_add_buffer_compute_test.cc
index 06f946bca77f2bc43493d2bb7d86d134a030eac5..67b56c747757499574bf5e9ac7535a366ce343da 100644
--- a/lite/kernels/opencl/elementwise_add_buffer_compute_test.cc
+++ b/lite/kernels/opencl/elementwise_add_buffer_compute_test.cc
@@ -87,7 +87,7 @@ void elementwise_compute_ref(const dtype *x_data,
       }
     }
   } else {
-    LOG(FATAL) << "unsupported Elementwise type: " << elt_type << std::endl;
+    LOG(FATAL) << "unsupported Elementwise type: " << elt_type;
   }
 }
 
diff --git a/lite/kernels/opencl/elementwise_add_image_compute_test.cc b/lite/kernels/opencl/elementwise_add_image_compute_test.cc
index ecc9e789c4b64be238535d912f5e3ba0d69bce8b..c7fb0b07b25007df155e96411342af69f8b885d3 100644
--- a/lite/kernels/opencl/elementwise_add_image_compute_test.cc
+++ b/lite/kernels/opencl/elementwise_add_image_compute_test.cc
@@ -87,7 +87,7 @@ void elementwise_compute_ref(const dtype *x_data,
       }
     }
   } else {
-    LOG(FATAL) << "unsupported Elementwise type: " << elt_type << std::endl;
+    LOG(FATAL) << "unsupported Elementwise type: " << elt_type;
   }
 }
 
diff --git a/lite/kernels/opencl/elementwise_mul_image_compute_test.cc b/lite/kernels/opencl/elementwise_mul_image_compute_test.cc
index 06d0d4f7b4b4cf2ede365c81e4138a616c8dd9dc..cb63f333e6e061984be33ab6063424c941778751 100644
--- a/lite/kernels/opencl/elementwise_mul_image_compute_test.cc
+++ b/lite/kernels/opencl/elementwise_mul_image_compute_test.cc
@@ -106,7 +106,7 @@ void elementwise_compute_ref(const dtype *x_data,
       out_data[x] = x_data[x] * y_data[y];
     }
   } else {
-    LOG(FATAL) << "unsupported Elementwise type: " << elt_type << std::endl;
+    LOG(FATAL) << "unsupported Elementwise type: " << elt_type;
   }
 }
 
diff --git a/lite/kernels/opencl/elementwise_sub_image_compute_test.cc b/lite/kernels/opencl/elementwise_sub_image_compute_test.cc
index 0593747547eb6b41a4b023fa92b9219ae0b591b0..61a7aa4447803ff2140f5cc5c9a40ea943f211af 100644
--- a/lite/kernels/opencl/elementwise_sub_image_compute_test.cc
+++ b/lite/kernels/opencl/elementwise_sub_image_compute_test.cc
@@ -87,7 +87,7 @@ void elementwise_compute_ref(const dtype *x_data,
       }
     }
   } else {
-    LOG(FATAL) << "unsupported Elementwise type: " << elt_type << std::endl;
+    LOG(FATAL) << "unsupported Elementwise type: " << elt_type;
   }
 }
 
diff --git a/lite/kernels/opencl/grid_sampler_image_compute_test.cc b/lite/kernels/opencl/grid_sampler_image_compute_test.cc
index afdebc0e64f3503a95bd14f00207920ed6363cf5..5851950bec3edc67b879fad589ce6dcafbbdceeb 100644
--- a/lite/kernels/opencl/grid_sampler_image_compute_test.cc
+++ b/lite/kernels/opencl/grid_sampler_image_compute_test.cc
@@ -224,7 +224,7 @@ TEST(grid_samler_image2d, compute) {
 #ifdef GRID_FP16_PRINT_RESULT
           LOG(INFO) << "---- print kernel result (input -> output) ----";
           for (int eidx = 0; eidx < in_dim.production(); ++eidx) {
-            std::cout << input_v[eidx] << " -> " << out_data[eidx] << std::endl;
+            std::cout << input_v[eidx] << " -> " << out_data[eidx] << "\n";
           }
 #endif  // GRID_FP16_PRINT_RESULT
           for (int i = 0; i < out_dim.production(); i++) {