diff --git a/paddle/operators/box_coder_op.cu b/paddle/operators/box_coder_op.cu
index f2ea592f8e802a29b2e16aca5808c7bc423b1fd4..883cc5430558889cd44277becf3c77ec2e619dc8 100644
--- a/paddle/operators/box_coder_op.cu
+++ b/paddle/operators/box_coder_op.cu
@@ -18,79 +18,85 @@ namespace operators {
 template <typename T>
 __global__ void EncodeCenterSizeKernel(const T* prior_box_data,
                                        const T* prior_box_var_data,
-                                       const T* target_box_data, int row,
-                                       int col, T* output) {
+                                       const T* target_box_data, const int row,
+                                       const int col, const int len,
+                                       T* output) {
   const int idx = threadIdx.x + blockIdx.x * blockDim.x;
   if (idx < row * col) {
     const int row_idx = idx / col;
     const int col_idx = idx % col;
     T prior_box_width =
-        prior_box_data[col_idx * 4 + 2] - prior_box_data[col_idx * 4];
+        prior_box_data[col_idx * len + 2] - prior_box_data[col_idx * len];
     T prior_box_height =
-        prior_box_data[col_idx * 4 + 3] - prior_box_data[col_idx * 4 + 1];
+        prior_box_data[col_idx * len + 3] - prior_box_data[col_idx * len + 1];
     T prior_box_center_x =
-        (prior_box_data[col_idx * 4 + 2] + prior_box_data[col_idx * 4]) / 2;
-    T prior_box_center_y =
-        (prior_box_data[col_idx * 4 + 3] + prior_box_data[col_idx * 4 + 1]) / 2;
+        (prior_box_data[col_idx * len + 2] + prior_box_data[col_idx * len]) / 2;
+    T prior_box_center_y = (prior_box_data[col_idx * len + 3] +
+                            prior_box_data[col_idx * len + 1]) /
+                           2;
 
     T target_box_center_x =
-        (target_box_data[row_idx * 4 + 2] + target_box_data[row_idx * 4]) / 2;
-    T target_box_center_y =
-        (target_box_data[row_idx * 4 + 3] + target_box_data[row_idx * 4 + 1]) /
+        (target_box_data[row_idx * len + 2] + target_box_data[row_idx * len]) /
         2;
+    T target_box_center_y = (target_box_data[row_idx * len + 3] +
+                             target_box_data[row_idx * len + 1]) /
+                            2;
     T target_box_width =
-        target_box_data[row_idx * 4 + 2] - target_box_data[row_idx * 4];
+        target_box_data[row_idx * len + 2] - target_box_data[row_idx * len];
     T target_box_height =
-        target_box_data[row_idx * 4 + 3] - target_box_data[row_idx * 4 + 1];
+        target_box_data[row_idx * len + 3] - target_box_data[row_idx * len + 1];
 
-    output[idx * 4] = (target_box_center_x - prior_box_center_x) /
-                      prior_box_width / prior_box_var_data[col_idx * 4];
-    output[idx * 4 + 1] = (target_box_center_y - prior_box_center_y) /
-                          prior_box_height /
-                          prior_box_var_data[col_idx * 4 + 1];
-    output[idx * 4 + 2] = log(fabs(target_box_width / prior_box_width)) /
-                          prior_box_var_data[col_idx * 4 + 2];
-    output[idx * 4 + 3] = log(fabs(target_box_height / prior_box_height)) /
-                          prior_box_var_data[col_idx * 4 + 3];
+    output[idx * len] = (target_box_center_x - prior_box_center_x) /
+                        prior_box_width / prior_box_var_data[col_idx * len];
+    output[idx * len + 1] = (target_box_center_y - prior_box_center_y) /
+                            prior_box_height /
+                            prior_box_var_data[col_idx * len + 1];
+    output[idx * len + 2] = log(fabs(target_box_width / prior_box_width)) /
+                            prior_box_var_data[col_idx * len + 2];
+    output[idx * len + 3] = log(fabs(target_box_height / prior_box_height)) /
+                            prior_box_var_data[col_idx * len + 3];
   }
 }
 
 template <typename T>
 __global__ void DecodeCenterSizeKernel(const T* prior_box_data,
                                        const T* prior_box_var_data,
-                                       const T* target_box_data, int row,
-                                       int col, T* output) {
+                                       const T* target_box_data, const int row,
+                                       const int col, const int len,
+                                       T* output) {
   const int idx = threadIdx.x + blockIdx.x * blockDim.x;
   if (idx < row * col) {
     const int row_idx = idx / col;
     const int col_idx = idx % col;
     T prior_box_width =
-        prior_box_data[col_idx * 4 + 2] - prior_box_data[col_idx * 4];
+        prior_box_data[col_idx * len + 2] - prior_box_data[col_idx * len];
     T prior_box_height =
-        prior_box_data[col_idx * 4 + 3] - prior_box_data[col_idx * 4 + 1];
+        prior_box_data[col_idx * len + 3] - prior_box_data[col_idx * len + 1];
     T prior_box_center_x =
-        (prior_box_data[col_idx * 4 + 2] + prior_box_data[col_idx * 4]) / 2;
-    T prior_box_center_y =
-        (prior_box_data[col_idx * 4 + 3] + prior_box_data[col_idx * 4 + 1]) / 2;
+        (prior_box_data[col_idx * len + 2] + prior_box_data[col_idx * len]) / 2;
+    T prior_box_center_y = (prior_box_data[col_idx * len + 3] +
+                            prior_box_data[col_idx * len + 1]) /
+                           2;
 
-    T target_box_width = exp(prior_box_var_data[col_idx * 4 + 2] *
-                             target_box_data[row_idx * 4 + 2]) *
+    T target_box_width = exp(prior_box_var_data[col_idx * len + 2] *
+                             target_box_data[row_idx * len + 2]) *
                          prior_box_width;
-    T target_box_height = exp(prior_box_var_data[col_idx * 4 + 3] *
-                              target_box_data[row_idx * 4 + 3]) *
+    T target_box_height = exp(prior_box_var_data[col_idx * len + 3] *
+                              target_box_data[row_idx * len + 3]) *
                           prior_box_height;
-    T target_box_center_x = prior_box_var_data[col_idx * 4] *
-                                target_box_data[row_idx * 4] * prior_box_width +
+    T target_box_center_x = prior_box_var_data[col_idx * len] *
+                                target_box_data[row_idx * len] *
+                                prior_box_width +
                             prior_box_center_x;
-    T target_box_center_y = prior_box_var_data[col_idx * 4 + 1] *
-                                target_box_data[row_idx * 4 + 1] *
+    T target_box_center_y = prior_box_var_data[col_idx * len + 1] *
+                                target_box_data[row_idx * len + 1] *
                                 prior_box_height +
                             prior_box_center_y;
 
-    output[idx * 4] = target_box_center_x - target_box_width / 2;
-    output[idx * 4 + 1] = target_box_center_y - target_box_height / 2;
-    output[idx * 4 + 2] = target_box_center_x + target_box_width / 2;
-    output[idx * 4 + 3] = target_box_center_y + target_box_height / 2;
+    output[idx * len] = target_box_center_x - target_box_width / 2;
+    output[idx * len + 1] = target_box_center_y - target_box_height / 2;
+    output[idx * len + 2] = target_box_center_x + target_box_width / 2;
+    output[idx * len + 3] = target_box_center_y + target_box_height / 2;
   }
 }
 
@@ -111,6 +117,7 @@ class BoxCoderCUDAKernel : public framework::OpKernel<T> {
     }
     auto row = target_box->dims()[0];
     auto col = prior_box->dims()[0];
+    auto len = prior_box->dims()[1];
     int block = 512;
     int grid = (row * col + block - 1) / block;
     auto& device_ctx = context.cuda_device_context();
@@ -119,17 +126,17 @@ class BoxCoderCUDAKernel : public framework::OpKernel<T> {
     const T* prior_box_var_data = prior_box_var->data<T>();
     const T* target_box_data = target_box->data<T>();
 
-    output_box->mutable_data<T>({row, col, 4}, context.GetPlace());
+    output_box->mutable_data<T>({row, col, len}, context.GetPlace());
     T* output = output_box->data<T>();
 
     auto code_type = GetBoxCodeType(context.Attr<std::string>("code_type"));
     if (code_type == BoxCodeType::kEncodeCenterSize) {
       EncodeCenterSizeKernel<T><<<grid, block, 0, device_ctx.stream()>>>(
-          prior_box_data, prior_box_var_data, target_box_data, row, col,
+          prior_box_data, prior_box_var_data, target_box_data, row, col, len,
           output);
     } else if (code_type == BoxCodeType::kDecodeCenterSize) {
       DecodeCenterSizeKernel<T><<<grid, block, 0, device_ctx.stream()>>>(
-          prior_box_data, prior_box_var_data, target_box_data, row, col,
+          prior_box_data, prior_box_var_data, target_box_data, row, col, len,
           output);
     }
   }