diff --git a/doc/fluid/dev/use_eigen_cn.md b/doc/fluid/dev/use_eigen_cn.md
index 1367323b71277984834d9d4f0d9bea0f69478479..f36843b4408c21bdca1fa83853e5b0a40116791c 100644
--- a/doc/fluid/dev/use_eigen_cn.md
+++ b/doc/fluid/dev/use_eigen_cn.md
@@ -107,7 +107,7 @@ void Compute(const framework::ExecutionContext& context) const override {
 
 ### paddle::framework::Tensor到EigenTensor的转换
 
-如上一小节所示，在具体的计算中，我们需要先把输入Tensor和输出Tensor转换为Eigen支持的格式。我们在[eigen.h](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/eigen.h)中提供了一些全局函数用来实现paddle::framework::Tensor到EigenTensor/EigenMatrix/EigenVector/EigenScalar的转换。
+如上一小节所示，在具体的计算中，我们需要先把输入Tensor和输出Tensor转换为Eigen支持的格式。我们在[eigen.h](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/framework/eigen.h)中提供了一些全局函数用来实现paddle::framework::Tensor到EigenTensor/EigenMatrix/EigenVector/EigenScalar的转换。
 
 以EigenTensor为例，做一个介绍
 
@@ -125,7 +125,7 @@ From是EigenTensor模板提供的一个接口，可以实现从paddle::framework
 
 在Eigen中，不同rank的Tensor是不同类型，Vector是rank为1的Tensor。需要额外注意的是，EigenVector<T>::From方法是把paddle中的一维Tensor转为Eigen的一维Tensor，在这里用EigenVector来表示；而EigenVector<T>::Flatten方法是把paddle中的一个Tensor进行reshape操作，压扁成为Eigen的一维Tensor，类型仍然为EigenVector。
 
-更多的转换方法请参考eigen_test.cc中的[单元测试](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/eigen_test.cc)。
+更多的转换方法请参考eigen_test.cc中的[单元测试](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/framework/eigen_test.cc)。
 
 
 
diff --git a/doc/fluid/dev/use_eigen_en.md b/doc/fluid/dev/use_eigen_en.md
index e169106e12f5d62696f1f0e7163562793b32c18c..3a466f73d1f9b94a29b171015279c782ca50bd02 100644
--- a/doc/fluid/dev/use_eigen_en.md
+++ b/doc/fluid/dev/use_eigen_en.md
@@ -107,7 +107,7 @@ void Compute(const framework::ExecutionContext& context) const override {
 
 ### paddle::framework::Tensor到EigenTensor的转换
 
-As shown above, in actual computation, we need to transform the input and output `Tensor`s into formats Eigen supports. We show some functions in [eigen.h](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/eigen.h) to implement the transformation from `paddle::framework::Tensor`to `EigenTensor/EigenMatrix/EigenVector/EigenScalar`.
+As shown above, in actual computation, we need to transform the input and output `Tensor`s into formats Eigen supports. We show some functions in [eigen.h](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/framework/eigen.h) to implement the transformation from `paddle::framework::Tensor`to `EigenTensor/EigenMatrix/EigenVector/EigenScalar`.
 
 Using EigenTensor as an example:
 
@@ -125,7 +125,7 @@ EigenTensor<float, 3>::Type et = EigenTensor<float, 3>::From(t);
 
 In Eigen, tensors with different ranks are different types, with `Vector` bring a rank-1 instance. Note that `EigenVector<T>::From` uses a transformation from an 1-dimensional Paddle tensor to a 1-dimensional Eigen tensor while `EigenVector<T>::Flatten` reshapes a paddle tensor and flattens it into a 1-dimensional Eigen tensor. Both resulting tensors are still typed EigenVector.
 
-For more transformations, see the [unit tests](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/eigen_test.cc) in the `eigen_test.cc` file.
+For more transformations, see the [unit tests](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/fluid/framework/eigen_test.cc) in the `eigen_test.cc` file.