diff --git a/paddle/fluid/operators/conv_op.h b/paddle/fluid/operators/conv_op.h
index caf3a9a4bc71c07352598aa5f4ba71c3ca578d39..ad025c468332194dcda6d418a9339efdd53b5227 100644
--- a/paddle/fluid/operators/conv_op.h
+++ b/paddle/fluid/operators/conv_op.h
@@ -64,17 +64,19 @@ inline int ConvOutputSize(int input_size, int filter_size, int dilation,
 
   return output_size;
 }
-inline void UpdatePaddingAndDilation(std::vector<int>* paddings,
-                                     std::vector<int>* dilation,
+
+template <typename T = int>
+inline void UpdatePaddingAndDilation(std::vector<T>* paddings,
+                                     std::vector<T>* dilation,
                                      const std::string padding_algorithm,
                                      const framework::DDim data_dims,
-                                     const std::vector<int>& strides,
-                                     const std::vector<int>& ksize) {
+                                     const std::vector<T>& strides,
+                                     const std::vector<T>& ksize) {
   // set padding size == data_dims.size() * 2
-  auto data_shape = framework::vectorize<int>(data_dims);
+  auto data_shape = framework::vectorize<T>(data_dims);
   if (static_cast<int>(paddings->size()) == data_dims.size()) {
     for (int i = 0; i < data_dims.size(); ++i) {
-      int copy_pad = *(paddings->begin() + 2 * i);
+      T copy_pad = *(paddings->begin() + 2 * i);
       paddings->insert(paddings->begin() + 2 * i + 1, copy_pad);
     }
   } else {
@@ -86,11 +88,11 @@ inline void UpdatePaddingAndDilation(std::vector<int>* paddings,
   // when padding_algorithm is "VALID" or "SAME"
   if (padding_algorithm == "SAME") {
     for (int i = 0; i < data_dims.size(); ++i) {
-      int out_size = (data_dims[i] + strides[i] - 1) / strides[i];
-      int pad_sum =
+      T out_size = (data_dims[i] + strides[i] - 1) / strides[i];
+      T pad_sum =
           std::max((out_size - 1) * strides[i] + ksize[i] - data_shape[i], 0);
-      int pad_0 = pad_sum / 2;
-      int pad_1 = pad_sum - pad_0;
+      T pad_0 = pad_sum / 2;
+      T pad_1 = pad_sum - pad_0;
       *(paddings->begin() + i * 2) = pad_0;
       *(paddings->begin() + i * 2 + 1) = pad_1;
 
diff --git a/paddle/fluid/operators/pool_op.h b/paddle/fluid/operators/pool_op.h
index 5db94f95b99d28b496d8b0621d8336e6603c4167..53551a8c50a4eff192b8a7c4b51af67c8b198a2a 100644
--- a/paddle/fluid/operators/pool_op.h
+++ b/paddle/fluid/operators/pool_op.h
@@ -57,17 +57,19 @@ class Pool3dOpMaker : public framework::OpProtoAndCheckerMaker {
  public:
   void Make() override;
 };
-inline void UpdatePadding(std::vector<int>* paddings, const bool global_pooling,
+
+template <typename T = int>
+inline void UpdatePadding(std::vector<T>* paddings, const bool global_pooling,
                           const bool adaptive,
                           const std::string padding_algorithm,
                           const framework::DDim data_dims,
-                          const std::vector<int>& strides,
-                          const std::vector<int>& ksize) {
+                          const std::vector<T>& strides,
+                          const std::vector<T>& ksize) {
   // set padding size == data_dims.size() * 2
-  auto data_shape = framework::vectorize<int>(data_dims);
+  auto data_shape = framework::vectorize<T>(data_dims);
   if (static_cast<int>(paddings->size()) == data_dims.size()) {
     for (int i = 0; i < data_dims.size(); ++i) {
-      int copy_pad = *(paddings->begin() + 2 * i);
+      T copy_pad = *(paddings->begin() + 2 * i);
       paddings->insert(paddings->begin() + 2 * i + 1, copy_pad);
     }
   } else {
@@ -79,11 +81,11 @@ inline void UpdatePadding(std::vector<int>* paddings, const bool global_pooling,
   // when padding_algorithm is "VALID" or "SAME"
   if (padding_algorithm == "SAME") {
     for (int i = 0; i < data_dims.size(); ++i) {
-      int out_size = (data_dims[i] + strides[i] - 1) / strides[i];
-      int pad_sum =
+      T out_size = (data_dims[i] + strides[i] - 1) / strides[i];
+      T pad_sum =
           std::max((out_size - 1) * strides[i] + ksize[i] - data_shape[i], 0);
-      int pad_0 = pad_sum / 2;
-      int pad_1 = pad_sum - pad_0;
+      T pad_0 = pad_sum / 2;
+      T pad_1 = pad_sum - pad_0;
       *(paddings->begin() + i * 2) = pad_0;
       *(paddings->begin() + i * 2 + 1) = pad_1;
     }
@@ -101,11 +103,12 @@ inline void UpdatePadding(std::vector<int>* paddings, const bool global_pooling,
   }
 }
 
-inline void UpdateKsize(std::vector<int>* ksize,
+template <typename T = int>
+inline void UpdateKsize(std::vector<T>* ksize,
                         const framework::DDim data_dims) {
   ksize->resize(static_cast<size_t>(data_dims.size()));
   for (size_t i = 0; i < ksize->size(); ++i) {
-    *(ksize->begin() + i) = static_cast<int>(data_dims[i]);
+    *(ksize->begin() + i) = static_cast<T>(data_dims[i]);
   }
 }