Update links to install pages.

PiperOrigin-RevId: 213917946

10 files changed, 13 insertions, 16 deletions

diff --git a/tensorflow/contrib/cmake/README.md b/tensorflow/contrib/cmake/README.md
index 789dab81ed..77242b34fd 100644
--- a/tensorflow/contrib/cmake/README.md
+++ b/tensorflow/contrib/cmake/README.md
@@ -17,7 +17,7 @@ Linux.
 Current Status
 --------------
 
-CMake can be used to build TensorFlow on Windows. See the [getting started documentation](https://www.tensorflow.org/install/install_windows)
+CMake can be used to build TensorFlow on Windows. See the [getting started documentation](https://www.tensorflow.org/install/source_windows)
 for instructions on how to install a pre-built TensorFlow package on Windows.
 
 ### Current known limitations
diff --git a/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md b/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
index c7cdee07de..b0f32a8d6c 100644
--- a/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
+++ b/tensorflow/contrib/lite/g3doc/tfmobile/android_build.md
@@ -93,7 +93,7 @@ requires some knowledge of build systems and Android developer tools, but we'll
 guide you through the basics here.
 
 - First, follow our instructions for
-  <a href="http://www.tensorflow.org/install/install_sources">installing from sources</a>.
+  <a href="http://www.tensorflow.org/install/source">installing from sources</a>.
   This will also guide you through installing Bazel and cloning the
   TensorFlow code.
 
diff --git a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
index 84680b968e..aba7536cbd 100644
--- a/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
+++ b/tensorflow/contrib/lite/toco/g3doc/cmdline_examples.md
@@ -38,7 +38,7 @@ There are two approaches to running TOCO via command line.
     examples below use `tflite_convert` for simplicity.
     *   Example: `tflite_convert --output_file=...`
 *   `bazel`: In order to run the latest version of TOCO, [clone the TensorFlow
-    repository](https://www.tensorflow.org/install/install_sources#clone_the_tensorflow_repository)
+    repository](https://www.tensorflow.org/install/source)
     and use `bazel`. This is the recommended approach for converting models that
     utilize new features that were not supported by TOCO in TensorFlow 1.9.
     *   Example: `bazel run
diff --git a/tensorflow/contrib/lite/toco/g3doc/python_api.md b/tensorflow/contrib/lite/toco/g3doc/python_api.md
index 51f808d4f0..910fa4c8de 100644
--- a/tensorflow/contrib/lite/toco/g3doc/python_api.md
+++ b/tensorflow/contrib/lite/toco/g3doc/python_api.md
@@ -260,7 +260,7 @@ interpreter.allocate_tensors()
 In order to run the latest version of the TOCO Python API, clone the TensorFlow
 repository, configure the installation, and build and install the pip package.
 Detailed instructions are available
-[here](https://www.tensorflow.org/install/install_sources).
+[here](https://www.tensorflow.org/install/source).
 
 ### Converting models prior to TensorFlow 1.9. <a name="pre-tensorflow-1.9"></a>
 
diff --git a/tensorflow/contrib/tensorrt/README.md b/tensorflow/contrib/tensorrt/README.md
index 687dee07e1..caf8b6db0d 100644
--- a/tensorflow/contrib/tensorrt/README.md
+++ b/tensorflow/contrib/tensorrt/README.md
@@ -26,4 +26,4 @@ available. An example use can be found in test/test_tftrt.py script
 In order to make use of TensorRT integration, you will need a local installation
 of TensorRT 3.0.4 from the [NVIDIA Developer website](https://developer.nvidia.com/tensorrt).
 Installation instructions for compatibility with TensorFlow are provided on the
-[TensorFlow Installation page](https://www.tensorflow.org/install/install_linux#nvidia_requirements_to_run_tensorflow_with_gpu_support).
+[TensorFlow GPU support](https://www.tensorflow.org/install/gpu) guide.
diff --git a/tensorflow/go/README.md b/tensorflow/go/README.md
index 288a32530a..3989f9b25a 100644
--- a/tensorflow/go/README.md
+++ b/tensorflow/go/README.md
@@ -10,7 +10,7 @@ Construct and execute TensorFlow graphs in Go.
 
 ## Quickstart
 
-Refer to [Installing TensorFlow for Go](https://www.tensorflow.org/install/install_go)
+Refer to [Installing TensorFlow for Go](https://www.tensorflow.org/install/lang_go)
 
 ## Building the TensorFlow C library from source
 
@@ -23,9 +23,7 @@ from source.
 
 -   [bazel](https://www.bazel.build/versions/master/docs/install.html)
 -   Environment to build TensorFlow from source code
-    ([Linux](https://www.tensorflow.org/install/install_sources#PrepareLinux)
-    or [OS
-    X](https://www.tensorflow.org/install/install_sources#PrepareMac)).
+    ([Linux of macOS](https://www.tensorflow.org/install/source)).
     If you don't need GPU support, then try the following:
 
     ```sh
diff --git a/tensorflow/java/README.md b/tensorflow/java/README.md
index c7382ff231..7ef862ae79 100644
--- a/tensorflow/java/README.md
+++ b/tensorflow/java/README.md
@@ -10,7 +10,7 @@
 
 ## Quickstart
 
--   Refer to [Installing TensorFlow for Java](https://www.tensorflow.org/install/install_java)
+-   Refer to [Installing TensorFlow for Java](https://www.tensorflow.org/install/lang_java)
 -   [Javadoc](https://www.tensorflow.org/api_docs/java/reference/org/tensorflow/package-summary)
 -   [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.tensorflow/tensorflow/badge.svg)](https://maven-badges.herokuapp.com/maven-central/org.tensorflow/tensorflow)
 
@@ -22,8 +22,7 @@ native libraries will need to be built from source.
 1.  Install [bazel](https://www.bazel.build/versions/master/docs/install.html)
 
 2.  Setup the environment to build TensorFlow from source code
-    ([Linux](https://www.tensorflow.org/install/install_sources#PrepareLinux)
-    or [macOS](https://www.tensorflow.org/install/install_sources#PrepareMac)).
+    ([Linux or macOS](https://www.tensorflow.org/install/source)).
     If you'd like to skip reading those details and do not care about GPU
     support, try the following:
 
@@ -35,7 +34,7 @@ native libraries will need to be built from source.
     brew install swig
     ```
 
-3.  [Configure](https://www.tensorflow.org/install/install_sources#configure_the_installation)
+3.  [Configure](https://www.tensorflow.org/install/source)
     (e.g., enable GPU support) and build:
 
     ```sh
diff --git a/tensorflow/python/pywrap_tensorflow.py b/tensorflow/python/pywrap_tensorflow.py
index 5c0c5783dc..f0724277d3 100644
--- a/tensorflow/python/pywrap_tensorflow.py
+++ b/tensorflow/python/pywrap_tensorflow.py
@@ -68,7 +68,7 @@ try:
     sys.setdlopenflags(_default_dlopen_flags)
 except ImportError:
   msg = """%s\n\nFailed to load the native TensorFlow runtime.\n
-See https://www.tensorflow.org/install/install_sources#common_installation_problems\n
+See https://www.tensorflow.org/install/errors\n
 for some common reasons and solutions.  Include the entire stack trace
 above this error message when asking for help.""" % traceback.format_exc()
   raise ImportError(msg)
diff --git a/tensorflow/tools/ci_build/README.md b/tensorflow/tools/ci_build/README.md
index f2161b700a..e2fd977f50 100644
--- a/tensorflow/tools/ci_build/README.md
+++ b/tensorflow/tools/ci_build/README.md
@@ -24,7 +24,7 @@ natively on your system.
 
 ### Run TensorFlow CI Scripts Natively on your Machine
 
-1.  Follow the instructions at https://www.tensorflow.org/install/install_sources,
+1.  Follow the instructions at https://www.tensorflow.org/install/source,
     but stop when you get to the section "Configure the installation". You do not
     need to configure the installation to run the CI scripts.
 
diff --git a/tensorflow/tools/dist_test/README.md b/tensorflow/tools/dist_test/README.md
index 228d5ee35d..f8ed74aaf7 100644
--- a/tensorflow/tools/dist_test/README.md
+++ b/tensorflow/tools/dist_test/README.md
@@ -23,7 +23,7 @@ You can test specify version of TensorFlow:
 ./local_test.sh ${whl_file_url}
 ```
 
-For example, you can find these TensorFlow python package URLs from [here](https://www.tensorflow.org/install/install_linux#the_url_of_the_tensorflow_python_package) for Ubuntu.
+For example, you can find these TensorFlow python package URLs from [here](https://www.tensorflow.org/install/pip) for Ubuntu.
 
 **2) Launch a remote k8s cluster on Google Kubernetes Engine (GKE) and run the
 test suite on it**