diff --git a/src/operators/kernel/central-arm-func/pool_arm_func.h b/src/operators/kernel/central-arm-func/pool_arm_func.h
index b8086b4ecbc2592c3789a7d176eefb02bb02ada5..82c24d0ab4ca93ae23218eb7441f37ef2f68efee 100644
--- a/src/operators/kernel/central-arm-func/pool_arm_func.h
+++ b/src/operators/kernel/central-arm-func/pool_arm_func.h
@@ -32,6 +32,7 @@ void PoolCompute(const PoolParam<CPU> &param) {
   std::vector<int> ksize = param.Ksize();
   std::vector<int> strides = param.Strides();
   std::vector<int> paddings = param.Paddings();
+  const bool exclusive = param.isExclusive();
   if (param.isGlobalPooling()) {
     for (size_t i = 0; i < ksize.size(); ++i) {
       paddings[i] = 0;
@@ -41,17 +42,17 @@ void PoolCompute(const PoolParam<CPU> &param) {
   if (ksize[0] == 3 && ksize[0] == ksize[1]) {
     if (pooling_type == "max" && strides[0] == strides[1]) {
       if (strides[0] == 1) {
-        math::Pooling3x3<MAX, 1>()(*input, paddings, output);
+        math::Pooling3x3<MAX, 1>()(*input, paddings, exclusive, output);
       } else if (strides[0] == 2) {
-        math::Pooling3x3<MAX, 2>()(*input, paddings, output);
+        math::Pooling3x3<MAX, 2>()(*input, paddings, exclusive, output);
       } else {
         math::Pooling<MAX>()(*input, ksize, strides, paddings, output);
       }
     } else if (pooling_type == "avg" && strides[0] == strides[1]) {
       if (strides[0] == 1) {
-        math::Pooling3x3<AVG, 1>()(*input, paddings, output);
+        math::Pooling3x3<AVG, 1>()(*input, paddings, exclusive, output);
       } else if (strides[0] == 2) {
-        math::Pooling3x3<AVG, 2>()(*input, paddings, output);
+        math::Pooling3x3<AVG, 2>()(*input, paddings, exclusive, output);
       } else {
         math::Pooling<AVG>()(*input, ksize, strides, paddings, output);
       }
diff --git a/src/operators/math/pooling.h b/src/operators/math/pooling.h
index 909d289767ca1835d397370b9e075762ccc61d94..70280ad0a0ff24d5df58349b3bf98104ffb6d2ea 100644
--- a/src/operators/math/pooling.h
+++ b/src/operators/math/pooling.h
@@ -41,6 +41,9 @@ struct PoolingVal {
     return *this;
   }
   inline float Value() { return (count > 0) ? val : 0.f; }
+  inline float ExclusiveSum(int total) {
+    return ((count > 0) ? val : 0.f) * total;
+  }
 };
 
 template <>
@@ -54,6 +57,7 @@ struct PoolingVal<AVG> {
     return *this;
   }
   inline float Value() { return (count > 0) ? val * (1.f / count) : 0.f; }
+  inline float ExclusiveSum(int total) { return (count > 0) ? val : 0.f; }
 };
 
 #if defined(__ARM_NEON) || defined(__ARM_NEON__)
@@ -172,7 +176,8 @@ struct Pooling2x2 {
 template <PoolingType P, int Stride>
 struct Pooling3x3 {
   void operator()(const framework::Tensor &input,
-                  const std::vector<int> &paddings, framework::Tensor *output);
+                  const std::vector<int> &paddings, const bool exclusive,
+                  framework::Tensor *output);
 };
 
 template <PoolingType P, int Stride>
diff --git a/src/operators/math/pooling3x3.cpp b/src/operators/math/pooling3x3.cpp
index e67404469334aec33d66fe1c0bc51aadbb0ffe93..3303dabb8d778d721e638b63bb6c141cf7446b6e 100644
--- a/src/operators/math/pooling3x3.cpp
+++ b/src/operators/math/pooling3x3.cpp
@@ -23,19 +23,19 @@ namespace paddle_mobile {
 namespace operators {
 namespace math {
 
-#define POOLING3X3_NORMAL_BORDER(start, end)                   \
-  for (int w = start; w < end; ++w) {                          \
-    const int w_in_start = -padding_w + w * Stride;            \
-    const int w_in_end = w_in_start + 3;                       \
-    const int w_start = w_in_start > 0 ? w_in_start : 0;       \
-    const int w_end = w_in_end < input_w ? w_in_end : input_w; \
-    PoolingVal<P> val;                                         \
-    for (int h_in = h_start; h_in < h_end; ++h_in) {           \
-      for (int w_in = w_start; w_in < w_end; ++w_in) {         \
-        val += input[h_in * input_w + w_in];                   \
-      }                                                        \
-    }                                                          \
-    output_ptr[w] = val.Value();                               \
+#define POOLING3X3_NORMAL_BORDER(start, end, exclusive)                  \
+  for (int w = start; w < end; ++w) {                                    \
+    const int w_in_start = -padding_w + w * Stride;                      \
+    const int w_in_end = w_in_start + 3;                                 \
+    const int w_start = w_in_start > 0 ? w_in_start : 0;                 \
+    const int w_end = w_in_end < input_w ? w_in_end : input_w;           \
+    PoolingVal<P> val;                                                   \
+    for (int h_in = h_start; h_in < h_end; ++h_in) {                     \
+      for (int w_in = w_start; w_in < w_end; ++w_in) {                   \
+        val += input[h_in * input_w + w_in];                             \
+      }                                                                  \
+    }                                                                    \
+    output_ptr[w] = exclusive ? val.Value() : val.ExclusiveSum(9) / 9.f; \
   }
 
 template <PoolingType P, int Stride = 1>
@@ -80,7 +80,8 @@ template <PoolingType P, int Stride>
 inline void Pooling3x3NormalRow(const float *input, const int h_output,
                                 const int input_h, const int input_w,
                                 const int padding_h, const int padding_w,
-                                const int output_w, float *output) {
+                                const int output_w, const bool exclusive,
+                                float *output) {
   const int h_in_start = -padding_h + h_output * Stride;
   const int h_in_end = h_in_start + 3;
   const int h_start = h_in_start > 0 ? h_in_start : 0;
@@ -97,13 +98,14 @@ inline void Pooling3x3NormalRow(const float *input, const int h_output,
   const int valid_w = valid_w_end - valid_w_start;
 
   // border left
-  POOLING3X3_NORMAL_BORDER(0, valid_w_start)
+  POOLING3X3_NORMAL_BORDER(0, valid_w_start, exclusive)
   // middle
   int output_tiles = (valid_w_end - valid_w_start) / 6;
   int output_tiles_w = output_tiles * 6;
   Pooling3x3NormalRowLoadInput<P, Stride> PoolingCompute;
   float32x4x2_t x0, x1, x2, y0;
-  float32x4_t post = vdupq_n_f32(1.f / (3 * (h_end - h_start)));
+  float32x4_t post = exclusive ? vdupq_n_f32(1.f / (3 * (h_end - h_start)))
+                               : vdupq_n_f32(1.f / 9);
   for (int w = 0; w < output_tiles_w; w += 6) {
     int output_offset = valid_w_start + w;
     int input_w_offset = output_offset * Stride - padding_w;
@@ -150,13 +152,13 @@ inline void Pooling3x3NormalRow(const float *input, const int h_output,
     }
   }
   // border right
-  POOLING3X3_NORMAL_BORDER(valid_w_end, output_w)
+  POOLING3X3_NORMAL_BORDER(valid_w_end, output_w, exclusive)
 }
 
 template <PoolingType P>
 struct Pooling3x3<P, 1> {
   inline void operator()(const framework::Tensor &input,
-                         const std::vector<int> &paddings,
+                         const std::vector<int> &paddings, const bool exclusive,
                          framework::Tensor *output) {
     const float *input_data = input.data<float>();
     float *output_data = output->mutable_data<float>();
@@ -184,7 +186,7 @@ struct Pooling3x3<P, 1> {
         // top
         for (int h = 0; h < valid_h_start; ++h) {
           Pooling3x3NormalRow<P, 1>(input_ptr, h, input_h, input_w, padding_h,
-                                    padding_w, output_w, output_ptr);
+                                    padding_w, output_w, exclusive, output_ptr);
         }
         // valid
         int output_w_tiles = valid_w / 6;
@@ -218,7 +220,8 @@ struct Pooling3x3<P, 1> {
                 output_ptr2[w] = 0.f;
                 output_ptr3[w] = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc12 = vPoolPre_f32<P>(row1, row2);
                 acc34 = vPoolPre_f32<P>(row3, row4);
                 acc0 = vPoolPre_f32<P>(row0, acc12);
@@ -526,7 +529,8 @@ struct Pooling3x3<P, 1> {
                 *output_ptr2 = 0.f;
                 *output_ptr3 = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc12 = vPoolPre_f32<P>(row1, row2);
                 acc34 = vPoolPre_f32<P>(row3, row4);
                 acc0 = vPoolPre_f32<P>(row0, acc12);
@@ -578,7 +582,8 @@ struct Pooling3x3<P, 1> {
               if (padding >= 3) {
                 output_ptr0[w] = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc0 = vPoolPre_f32<P>(row0, row1);
                 acc0 = vPoolPre_f32<P>(acc0, row2);
                 acc0 = vpPoolPre_f32<P>(acc0, acc0);
@@ -718,7 +723,8 @@ struct Pooling3x3<P, 1> {
               if (padding >= 3) {
                 *output_ptr0 = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc0 = vPoolPre_f32<P>(row0, row1);
                 acc0 = vPoolPre_f32<P>(acc0, row2);
                 acc0 = vpPoolPre_f32<P>(acc0, acc0);
@@ -735,7 +741,7 @@ struct Pooling3x3<P, 1> {
         // pad bottom
         for (int h = valid_h_end; h < output_h; ++h) {
           Pooling3x3NormalRow<P, 1>(input_ptr, h, input_h, input_w, padding_h,
-                                    padding_w, output_w, output_ptr);
+                                    padding_w, output_w, exclusive, output_ptr);
         }
       }
     }
@@ -745,7 +751,7 @@ struct Pooling3x3<P, 1> {
 template <PoolingType P>
 struct Pooling3x3<P, 2> {
   inline void operator()(const framework::Tensor &input,
-                         const std::vector<int> &paddings,
+                         const std::vector<int> &paddings, const bool exclusive,
                          framework::Tensor *output) {
     const float *input_data = input.data<float>();
     float *output_data = output->mutable_data<float>();
@@ -784,7 +790,7 @@ struct Pooling3x3<P, 2> {
         // top
         for (int h = 0; h < valid_h_start; ++h) {
           Pooling3x3NormalRow<P, 2>(input_ptr, h, input_h, input_w, padding_h,
-                                    padding_w, output_w, output_ptr);
+                                    padding_w, output_w, exclusive, output_ptr);
         }
         // valid
         int output_w_tiles = valid_w / 6;
@@ -818,7 +824,8 @@ struct Pooling3x3<P, 2> {
                 output_ptr1[w] = 0.f;
                 output_ptr2[w] = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc0 = vPoolPre_f32<P>(row0, row1);
                 acc1 = vPoolPre_f32<P>(row2, row3);
                 acc2 = vPoolPre_f32<P>(row4, row5);
@@ -1097,7 +1104,8 @@ struct Pooling3x3<P, 2> {
                 *output_ptr1 = 0.f;
                 *output_ptr2 = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc0 = vPoolPre_f32<P>(row0, row1);
                 acc1 = vPoolPre_f32<P>(row2, row3);
                 acc2 = vPoolPre_f32<P>(row4, row5);
@@ -1141,7 +1149,8 @@ struct Pooling3x3<P, 2> {
               if (padding >= 3) {
                 output_ptr0[w] = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc0 = vPoolPre_f32<P>(row0, row1);
                 acc0 = vPoolPre_f32<P>(acc0, row2);
                 if (padding == 1) {
@@ -1271,7 +1280,8 @@ struct Pooling3x3<P, 2> {
               if (padding >= 3) {
                 *output_ptr0 = 0.f;
               } else {
-                post = vdup_n_f32(1.f / (3 * (3 - padding)));
+                post = exclusive ? vdup_n_f32(1.f / (3 * (3 - padding)))
+                                 : vdup_n_f32(1.f / 9);
                 acc0 = vPoolPre_f32<P>(row0, row1);
                 acc0 = vPoolPre_f32<P>(acc0, row2);
                 if (padding == 1) {
@@ -1287,7 +1297,7 @@ struct Pooling3x3<P, 2> {
         // bottom
         for (int h = valid_h_end; h < output_h; ++h) {
           Pooling3x3NormalRow<P, 2>(input_ptr, h, input_h, input_w, padding_h,
-                                    padding_w, output_w, output_ptr);
+                                    padding_w, output_w, exclusive, output_ptr);
         }
       }
     }
diff --git a/src/operators/op_param.h b/src/operators/op_param.h
index 20b9ce4ddbb90944b0a2d0a5aed1d3c4ef759772..751c7b87ff54a111e6a761b2cf38260976891b8a 100644
--- a/src/operators/op_param.h
+++ b/src/operators/op_param.h
@@ -909,6 +909,7 @@ class PoolParam : public OpParam {
     paddings_ = GetAttr<vector<int>>("paddings", attrs);
     ceil_mode_ = GetAttr<bool>("ceil_mode", attrs);
     global_pooling_ = GetAttr<bool>("global_pooling", attrs);
+    exclusive_ = GetAttr<bool>("exclusive", attrs);
   }
 
   const GType *Input() const { return input_; }
@@ -927,6 +928,8 @@ class PoolParam : public OpParam {
 
   bool isGlobalPooling() const { return global_pooling_; }
 
+  bool isExclusive() const { return exclusive_; }
+
  private:
   GType *input_;
   GType *output_;
@@ -936,6 +939,7 @@ class PoolParam : public OpParam {
   vector<int> paddings_;
   bool ceil_mode_;
   bool global_pooling_ = false;
+  bool exclusive_ = true;
 #ifdef PADDLE_MOBILE_FPGA
 
  private:
diff --git a/test/operators/test_pool_op.cpp b/test/operators/test_pool_op.cpp
index 7c7f54c9d0db2725629d32977e4be5b273ab61bc..4b9bc3ad523b5086681ac837e7734468b90eb927 100644
--- a/test/operators/test_pool_op.cpp
+++ b/test/operators/test_pool_op.cpp
@@ -62,6 +62,7 @@ int TestPoolOp(int in_channels, int in_height, int in_width) {
   attrs["ceil_mode"].Set<bool>(true);
   //  attrs["ceil_mode"].Set<bool>(false);
   attrs["global_pooling"].Set<bool>(false);
+  attrs["exclusive"].Set<bool>(true);
 
   auto *op = new operators::PoolOp<CPU, float>("pool2d", inputs, outputs, attrs,
                                                scope.get());