diff --git a/src/framework/operator.cpp b/src/framework/operator.cpp
index e9596debe7e7a34827c0651e880b3427741df64b..ab9d4f788aa1eb8db8cc38b797c9f097ed260dac 100644
--- a/src/framework/operator.cpp
+++ b/src/framework/operator.cpp
@@ -57,7 +57,9 @@ void OperatorBase<Dtype>::CheckAllInputOutputSet() const {}
 
 template <typename Dtype>
 void OperatorBase<Dtype>::Run() {
+  DLOG << " ----- Begin run impl --- " << type_ << " ----- ";
   RunImpl();
+  DLOG << " ----- End run impl --- " << type_ << " ----- ";
 #ifdef PADDLE_MOBILE_DEBUG
   DLOG << "-------------" << type_ << "----------------------------";
   vector<string> input_keys = GetInputKeys();
diff --git a/src/operators/kernel/cl/cl_kernel/conv_add_bn_relu_kernel.cl b/src/operators/kernel/cl/cl_kernel/conv_add_bn_relu_kernel.cl
index 7b98369af1b3850d5a8fe76062c18e1270a35966..074280a23522efbf3220de8fde396d24e2165d30 100644
--- a/src/operators/kernel/cl/cl_kernel/conv_add_bn_relu_kernel.cl
+++ b/src/operators/kernel/cl/cl_kernel/conv_add_bn_relu_kernel.cl
@@ -14,7 +14,6 @@ limitations under the License. */
 
 #pragma OPENCL EXTENSION cl_khr_fp16 : enable
 
-
 #define BIASE
 #define BATCH_NORM
 
@@ -54,21 +53,24 @@ __kernel void conv_3x3(__private const int global_size_dim0,
     ouput_pos_in_one_block.x = out_w;
     ouput_pos_in_one_block.y = out_nh;
 
+
+    const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE |
+                              CLK_ADDRESS_CLAMP          |
+                              CLK_FILTER_NEAREST;
+
     int2 in_pos_in_one_block;
     in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset;
     in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset;
 
  #ifdef BIASE
-    half4 output = read_imageh(bias, sampler, int2(out_c, 0));
+    half4 output = read_imageh(bias, sampler, (int2)(out_c, 0));
 #else
     half4 output = 0.0f;
 #endif
 
    half4 input[9];
 
-   const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE |
-                              CLK_ADDRESS_CLAMP         |
-                              CLK_FILTER_NEAREST;
+
 
    for (int i = 0; i < input_c; ++i) {
         int2 pos_in = (int2)(i * input_width + in_pos_in_one_block.x, in_pos_in_one_block.y);
@@ -139,7 +141,7 @@ __kernel void conv_3x3(__private const int global_size_dim0,
     }
 
 #ifdef BATCH_NORM
-    output = output * read_imageh(new_scale, sampler, int2(out_c, 0)) + read_imageh(new_biase, sampler, int2(out_c, 0))
+    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0));
 #endif
 
 #ifdef RELU
@@ -250,7 +252,7 @@ __kernel void depth_conv_3x3(__private const int global_size_dim0,
     }
 
 #ifdef BATCH_NORM
-    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0))
+    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0));
 #endif
 
 #ifdef RELU
@@ -321,7 +323,7 @@ __kernel void conv_1x1(__private const int global_size_dim0,
   }
 
 #ifdef BATCH_NORM
-    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0))
+    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0));
 #endif
 
 #ifdef RELU
diff --git a/src/operators/kernel/cl/cl_kernel/conv_add_kernel.cl b/src/operators/kernel/cl/cl_kernel/conv_add_kernel.cl
index 20041c80a599b0b1b4ffcc55e8931dc012809206..34a687dbb7d9d6424f57f85e94591f3b46e38a1d 100644
--- a/src/operators/kernel/cl/cl_kernel/conv_add_kernel.cl
+++ b/src/operators/kernel/cl/cl_kernel/conv_add_kernel.cl
@@ -56,17 +56,19 @@ __kernel void conv_3x3(__private const int global_size_dim0,
     in_pos_in_one_block.x = ouput_pos_in_one_block.x * stride + offset;
     in_pos_in_one_block.y = ouput_pos_in_one_block.y * stride + offset;
 
+   const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE |
+                              CLK_ADDRESS_CLAMP         |
+                              CLK_FILTER_NEAREST;
+
  #ifdef BIASE
-    half4 output = read_imageh(bias, sampler, int2(out_c, 0));
+    half4 output = read_imageh(bias, sampler, (int2)(out_c, 0));
 #else
     half4 output = 0.0f;
 #endif
 
    half4 input[9];
 
-   const sampler_t sampler = CLK_NORMALIZED_COORDS_TRUE |
-                              CLK_ADDRESS_CLAMP         |
-                              CLK_FILTER_NEAREST;
+
 
    for (int i = 0; i < input_c; ++i) {
         int2 pos_in = (int2)(i * input_width + in_pos_in_one_block.x, in_pos_in_one_block.y);
@@ -137,7 +139,7 @@ __kernel void conv_3x3(__private const int global_size_dim0,
     }
 
 #ifdef BATCH_NORM
-    output = output * read_imageh(new_scale, sampler, int2(out_c, 0)) + read_imageh(new_biase, sampler, int2(out_c, 0))
+    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0));
 #endif
 
 #ifdef RELU
@@ -248,7 +250,7 @@ __kernel void depth_conv_3x3(__private const int global_size_dim0,
     }
 
 #ifdef BATCH_NORM
-    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0))
+    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0));
 #endif
 
 #ifdef RELU
@@ -319,7 +321,7 @@ __kernel void conv_1x1(__private const int global_size_dim0,
   }
 
 #ifdef BATCH_NORM
-    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0))
+    output = output * read_imageh(new_scale, sampler, (int2)(out_c, 0)) + read_imageh(new_biase, sampler, (int2)(out_c, 0));
 #endif
 
 #ifdef RELU
diff --git a/src/operators/kernel/cl/conv_add_bn_relu_kernel.cpp b/src/operators/kernel/cl/conv_add_bn_relu_kernel.cpp
index 20c148d7766f5a3fe8e952766a6ed4188e6487df..7ce60e6d1e9a687a3f6623ff8dd8e07576c02daf 100644
--- a/src/operators/kernel/cl/conv_add_bn_relu_kernel.cpp
+++ b/src/operators/kernel/cl/conv_add_bn_relu_kernel.cpp
@@ -117,7 +117,7 @@ void ConvAddBNReluKernel<GPU_CL, float>::Compute(
   auto biase = param.Bias()->GetCLImage();
   auto new_scale = param.NewScale()->GetCLImage();
   auto new_bias = param.NewBias()->GetCLImage();
-  auto output = param.Output();
+  auto output = param.Output()->GetCLImage();
   int stride = param.Strides()[0];
   int offset = param.Offset();
   int input_c = param.Input()->CBlock();
diff --git a/test/net/test_mobilenet_GPU.cpp b/test/net/test_mobilenet_GPU.cpp
index f69334daf2f24bdd4b41ee58e7236051d1459809..a5a78f7f8f6fe93ca7412f0ec007c291b26417af 100644
--- a/test/net/test_mobilenet_GPU.cpp
+++ b/test/net/test_mobilenet_GPU.cpp
@@ -23,7 +23,7 @@ int main() {
   //  auto isok = paddle_mobile.Load(std::string(g_mobilenet_detect) + "/model",
   //                     std::string(g_mobilenet_detect) + "/params", true);
 
-  auto isok = paddle_mobile.Load(g_mobilenet, false);
+  auto isok = paddle_mobile.Load(g_mobilenet, true);
   if (isok) {
     auto time2 = paddle_mobile::time();
     std::cout << "load cost :" << paddle_mobile::time_diff(time1, time1) << "ms"