diff --git a/paddle/framework/eigen.h b/paddle/framework/eigen.h
index 2599b2950836acd44102265dff8bb903f5c8b371..5f3358c69b3fbbbfcd97a96ab50fde3d8b9efad0 100644
--- a/paddle/framework/eigen.h
+++ b/paddle/framework/eigen.h
@@ -61,25 +61,24 @@ struct EigenTensor {
   }
 };
 
+template <typename T, int MajorType = Eigen::RowMajor,
+          typename IndexType = Eigen::DenseIndex>
+struct EigenMatrix : public EigenTensor<T, 2, MajorType, IndexType> {};
+
 template <typename T, int MajorType = Eigen::RowMajor,
           typename IndexType = Eigen::DenseIndex>
 struct EigenVector : public EigenTensor<T, 1, MajorType, IndexType> {
-  // Flatten is to reshape a Tensor into a one dimension EigenVector
-  using Parent = EigenTensor<T, 1, MajorType, IndexType>;
-  static typename Parent::Type Flatten(Tensor& tensor) {
-    return Parent::From(tensor,
-                        make_ddim({static_cast<int>(product(tensor.dims_))}));
+  // Flatten reshapes a Tensor into an EigenVector.
+  static typename EigenVector::Type Flatten(Tensor& tensor) {
+    return EigenVector::From(
+        tensor, make_ddim({static_cast<int>(product(tensor.dims_))}));
   }
 
-  static typename Parent::ConstType Flatten(const Tensor& tensor) {
-    return Parent::From(tensor,
-                        make_ddim({static_cast<int>(product(tensor.dims_))}));
+  static typename EigenVector::ConstType Flatten(const Tensor& tensor) {
+    return EigenVector::From(
+        tensor, make_ddim({static_cast<int>(product(tensor.dims_))}));
   }
 };
 
-template <typename T, int MajorType = Eigen::RowMajor,
-          typename IndexType = Eigen::DenseIndex>
-using EigenMatrix = EigenTensor<T, 2, MajorType, IndexType>;
-
 }  // namespace framework
 }  // namespace paddle