diff --git a/mace/kernels/opencl/cl/conv_2d.cl b/mace/kernels/opencl/cl/conv_2d.cl
index 5289e513301d41d2684be090597636f263b2b601..fae002e4340edee0a4f14932db5e35a0beec840e 100644
--- a/mace/kernels/opencl/cl/conv_2d.cl
+++ b/mace/kernels/opencl/cl/conv_2d.cl
@@ -87,7 +87,7 @@ __kernel void conv_2d(KERNEL_ERROR_PARAMS
 
 #undef READ_INPUT
 
-        // int filter_idx = (hb_idx * filter_width + width_idx) * rounded_in_ch + (in_ch_blk << 2);
+        // int filter_idx = (hb_idx * filter_width + width_idx) * in_ch + (in_ch_blk << 2);
         weights0 = READ_IMAGET(filter, SAMPLER, (int2)(filter_x_idx + 0, filter_y_idx));
         weights1 = READ_IMAGET(filter, SAMPLER, (int2)(filter_x_idx + 1, filter_y_idx));
         weights2 = READ_IMAGET(filter, SAMPLER, (int2)(filter_x_idx + 2, filter_y_idx));
diff --git a/mace/kernels/opencl/cl/conv_2d_3x3.cl b/mace/kernels/opencl/cl/conv_2d_3x3.cl
index f7c1149f8fd2bbeddc0ba9efccd9f35cd019196c..1389af6654172009bccea78ac60c58b8b50a771c 100644
--- a/mace/kernels/opencl/cl/conv_2d_3x3.cl
+++ b/mace/kernels/opencl/cl/conv_2d_3x3.cl
@@ -87,7 +87,7 @@ __kernel void conv_2d_3x3(KERNEL_ERROR_PARAMS
 
 #undef READ_INPUT
 
-        // int filter_idx = (hb_idx * 3 + width_idx) * rounded_in_ch + (in_ch_blk << 2);
+        // int filter_idx = (hb_idx * 3 + width_idx) * in_ch + (in_ch_blk << 2);
         weights0 = READ_IMAGET(filter, SAMPLER, (int2)(filter_x_idx + 0, filter_y_idx));
         weights1 = READ_IMAGET(filter, SAMPLER, (int2)(filter_x_idx + 1, filter_y_idx));
         weights2 = READ_IMAGET(filter, SAMPLER, (int2)(filter_x_idx + 2, filter_y_idx));
diff --git a/mace/kernels/opencl/cl/cwise.cl b/mace/kernels/opencl/cl/cwise.cl
index e93dfc7cbde706d4d3cb4ead20a6efdb3ea0c5ea..2d3f3105cbddb0dfd9d8b3b208bf400772f60fb4 100644
--- a/mace/kernels/opencl/cl/cwise.cl
+++ b/mace/kernels/opencl/cl/cwise.cl
@@ -3,6 +3,8 @@
 __kernel void cwise(KERNEL_ERROR_PARAMS
                     GLOBAL_WORK_GROUP_SIZE_DIM2
                     __read_only image2d_t input, /* [c%4 * w * c/4, h * b] */
+                    __private const int width,
+                    __private const int channel,
                     __private const float value,
                     __write_only image2d_t output) {
   const int w = get_global_id(0);
@@ -12,6 +14,8 @@ __kernel void cwise(KERNEL_ERROR_PARAMS
   if (w >= global_size_dim0 || hb >= global_size_dim1) return;
 #endif
 
+  const int remain_chan = channel - mul24((w / width), 4);
+
   DATA_TYPE4 in0 = READ_IMAGET(input, SAMPLER, (int2)(w, hb));
   DATA_TYPE4 in1 = (DATA_TYPE4){value, value, value, value};
   DATA_TYPE4 out;
@@ -21,15 +25,9 @@ __kernel void cwise(KERNEL_ERROR_PARAMS
 #elif CWISE_TYPE == 1
   out = in0 + in1;
 #elif CWISE_TYPE == 2
-  out.x = fmax(in0.x, value);
-  out.y = fmax(in0.y, value);
-  out.z = fmax(in0.z, value);
-  out.z = fmax(in0.w, value);
+  out = fmax(in0, in1);
 #elif CWISE_TYPE == 3
-  out.x = fmin(in0.x, value);
-  out.y = fmin(in0.y, value);
-  out.z = fmin(in0.z, value);
-  out.z = fmin(in0.w, value);
+  out = fmin(in0, in1);
 #elif CWISE_TYPE == 4
   out = in0 - in1;
 #elif CWISE_TYPE == 5
@@ -38,10 +36,20 @@ __kernel void cwise(KERNEL_ERROR_PARAMS
   in1 = (DATA_TYPE4)(0, 0, 0, 0);
   out = in1 - in0;
 #elif CWISE_TYPE == 7
-  out.x = fabs(in0.x);
-  out.y = fabs(in0.y);
-  out.z = fabs(in0.z);
-  out.w = fabs(in0.w);
+  out = fabs(in0);
+#endif
+
+#if CWISE_TYPE == 1 || CWISE_TYPE == 2 || CWISE_TYPE == 3 || CWISE_TYPE == 4
+  if (remain_chan < 4) {
+    switch (remain_chan) {
+      case 1:
+        out.y = 0;
+      case 2:
+        out.z = 0;
+      case 3:
+        out.w = 0;
+    }
+  }
 #endif
 
   WRITE_IMAGET(output, (int2)(w, hb), out);
diff --git a/mace/kernels/opencl/cwise_opencl.cc b/mace/kernels/opencl/cwise_opencl.cc
index cf716c27937c9c14b8df53f4061e3722aa4e8797..a9565a3d41c41a6f1d1975c6c744aafa5eb5a6e8 100644
--- a/mace/kernels/opencl/cwise_opencl.cc
+++ b/mace/kernels/opencl/cwise_opencl.cc
@@ -71,6 +71,8 @@ void CWiseFunctor<DeviceType::OPENCL, T>::operator()(const Tensor *input,
       kernel_.setArg(idx++, gws[1]);
     }
     kernel_.setArg(idx++, *(input->opencl_image()));
+    kernel_.setArg(idx++, static_cast<int32_t>(width));
+    kernel_.setArg(idx++, static_cast<int32_t>(channels));
     kernel_.setArg(idx++, static_cast<float>(coeff_));
     kernel_.setArg(idx++, *(output->opencl_image()));
     input_shape_ = input->shape();
diff --git a/mace/kernels/opencl/helper.cc b/mace/kernels/opencl/helper.cc
index 06df28895506f64463e9d00451b3162d30a7b2c6..7934b7209f0456edda559044b041f482b8554472 100644
--- a/mace/kernels/opencl/helper.cc
+++ b/mace/kernels/opencl/helper.cc
@@ -34,12 +34,12 @@ void CalInOutputImageShape(const std::vector<index_t> &shape, /* NHWC */
   (*image_shape)[1] = shape[0] * shape[1];
 }
 
-// [RoundUp<4>(Ic), H * W * (Oc + 3) / 4]
+// [Ic, H * W * (Oc + 3) / 4]
 void CalConv2dFilterImageShape(const std::vector<index_t> &shape, /* HWOI */
                                std::vector<size_t> *image_shape) {
   MACE_CHECK(shape.size() == 4);
   image_shape->resize(2);
-  (*image_shape)[0] = RoundUp<index_t>(shape[3], 4);
+  (*image_shape)[0] = shape[3];
   (*image_shape)[1] = shape[0] * shape[1] * RoundUpDiv4(shape[2]);
 }