fix link (apache#15036)

haohuanw · Jun 23, 2019 · 852f60b · 852f60b
1 parent 18de5c1
commit 852f60b
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/docs/install/index.md b/docs/install/index.md
@@ -120,7 +120,7 @@ Indicate your preferred configuration. Then, follow the customized commands to i
 <div class="pip">
 <div class="v1-4-1">
 
-MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="../../faq/perf.md#intel-cpu">MXNet tuning guide</a>.
+MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="http://mxnet.io/faq/perf.html#intel-cpu">MXNet tuning guide</a>.
 
 ```
 $ pip install mxnet
@@ -140,7 +140,7 @@ $ pip install mxnet==1.4.0
 $ pip install mxnet==1.3.1
 ```
 
-MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="../../faq/perf.md#intel-cpu">MXNet tuning guide</a>.
+MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="http://mxnet.io/faq/perf.html#intel-cpu">MXNet tuning guide</a>.
 
 ```
 $ pip install mxnet-mkl==1.3.1
@@ -153,7 +153,7 @@ $ pip install mxnet-mkl==1.3.1
 $ pip install mxnet==1.2.1
 ```
 
-MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="../../faq/perf.md#intel-cpu">MXNet tuning guide</a>.
+MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="http://mxnet.io/faq/perf.html#intel-cpu">MXNet tuning guide</a>.
 
 ```
 $ pip install mxnet-mkl==1.2.1
@@ -206,7 +206,7 @@ $ pip install mxnet==0.11.0
 $ pip install mxnet --pre
 ```
 
-MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="../../faq/perf.md#intel-cpu">MXNet tuning guide</a>.
+MKL-DNN enabled pip packages are optimized for Intel hardware. You can find performance numbers in the <a href="http://mxnet.io/faq/perf.html#intel-cpu">MXNet tuning guide</a>.
 
 ```
 $ pip install mxnet-mkl --pre