Sync the "Validate your Installation" sections

Change: 150006513

tensorflow/docs_src/install/install_linux.md

@@ -489,31 +489,27 @@ $ <b>docker run -it gcr.io/tensorflow/tensorflow bash</b>
 
 Invoke python from your shell as follows:
 
-<pre>
-$ <b>python</b>
-</pre>
+<pre>$ <b>python</b></pre>
 
-Then, enter the following short program inside the python interactive shell:
+Enter the following short program inside the python interactive shell:
 
-<pre>
->>> <b>import tensorflow as tf</b>
->>> <b>hello = tf.constant('Hello, TensorFlow!')</b>
->>> <b>sess = tf.Session()</b>
->>> <b>print(sess.run(hello))</b>
-</pre>
+```python
+>>> import tensorflow as tf
+>>> hello = tf.constant('Hello, TensorFlow!')
+>>> sess = tf.Session()
+>>> print(sess.run(hello))
+```
 
-If the system outputs the following, then you are ready to begin
-running TensorFlow programs:
+If the system outputs the following, then you are ready to begin writing
+TensorFlow programs:
 
 <pre>Hello, TensorFlow!</pre>
 
 If you are new to TensorFlow, see @{$get_started$Getting Started with TensorFlow}.
 
-If the system outputs an error message instead of a greeting, see
-[Common installation problems](#CommonInstallationProblems).
-
+If the system outputs an error message instead of a greeting, see [Common
+installation problems](#common_installation_problems).
 
-<a name="CommonInstallationProblems"></a>
 ## Common installation problems
 
 We are relying on Stack Overflow to document TensorFlow installation problems

tensorflow/docs_src/install/install_mac.md

@@ -451,10 +451,8 @@ If you are new to TensorFlow, see
 @{$get_started$Getting Started with TensorFlow}.
 
 If the system outputs an error message instead of a greeting, see
-[Common installation problems](#CommonInstallationProblems).
+[Common installation problems](#common_installation_problems).
 
-
-<a name="CommonInstallationProblems"></a>
 ## Common installation problems
 
 We are relying on Stack Overflow to document TensorFlow installation problems

tensorflow/docs_src/install/install_sources.md

@@ -315,7 +315,7 @@ $ <b>bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pk
 ## Install the pip package
 
 Invoke `pip install` to install that pip package.
-The filename of the `.whl `file depends on your platform.
+The filename of the `.whl` file depends on your platform.
 For example, the following command will install the pip package
 for TensorFlow 1.0.1 on Linux:
 
@@ -327,37 +327,38 @@ $ <b>sudo pip install /tmp/tensorflow_pkg/tensorflow-1.0.1-py2-none-any.whl</b>
 available on the TensorFlow website are built with gcc4 that uses the older ABI.
 To make the library compatible with the older abi you have to add `-cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0"`
 
-<a name="#ValidateYourInstallation"></a>
 ## Validate your installation
 
 Validate your TensorFlow installation by doing the following:
 
-  1. Start a terminal.
+Start a terminal.
 
-  2. Change directory (`cd`) to any directory on your system other than
-     the `tensorflow` subdirectory from which you invoked the `configure`
-     command.
+Change directory (`cd`) to any directory on your system other than the
+`tensorflow` subdirectory from which you invoked the `configure` command.
 
-  3. Invoke python:
+Invoke python:
 
-  <pre> $ <b>python</b></pre>
+<pre>$ <b>python</b></pre>
 
-  4. Enter the following short program inside the python interactive shell:
+Enter the following short program inside the python interactive shell:
 
-  <pre>>>> <b>import tensorflow as tf</b>
-  >>> <b>hello = tf.constant('Hello, TensorFlow!')</b>
-  >>> <b>sess = tf.Session()</b>
-  >>> <b>print(sess.run(hello))</b></pre>
+```python
+>>> import tensorflow as tf
+>>> hello = tf.constant('Hello, TensorFlow!')
+>>> sess = tf.Session()
+>>> print(sess.run(hello))
+```
 
-  If the Python program outputs the following, then the installation
-  is successful and you can begin writing TensorFlow programs. (If you
-  are new to TensorFlow, see *Getting Started with TensorFlow*):
+If the system outputs the following, then you are ready to begin writing
+TensorFlow programs:
 
-  <pre>Hello, TensorFlow!</pre>
+<pre>Hello, TensorFlow!</pre>
 
-  If the system generates an error message instead of a greeting, see
-  the next section.
+If you are new to TensorFlow, see @{$get_started$Getting Started with
+TensorFlow}.
 
+If the system outputs an error message instead of a greeting, see [Common
+installation problems](#common_installation_problems).
 
 ## Common installation problems
 

tensorflow/docs_src/install/install_windows.md

@@ -121,35 +121,35 @@ Take the following steps to install TensorFlow in an Anaconda environment:
 
      <pre>(tensorflow)C:\> <b>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl</b> </pre>
 
-<a name="#ValidateYourInstallation"></a>
 ## Validate your installation
 
-Validate your TensorFlow installation by doing the following:
+Start a terminal.
 
-  1. Start a terminal.
-  2. If you installed through Anaconda, activate your Anaconda environment.
-  3. Inside that terminal, invoke python:
+If you installed through Anaconda, activate your Anaconda environment.
 
-     <pre>C:\> <b>python</b> </pre>
+Invoke python from your shell as follows:
 
-  4. Enter the following short program inside the python interactive shell:
+<pre>$ <b>python</b></pre>
 
-     <pre>>>> <b>import tensorflow as tf</b>
-     >>> <b>hello = tf.constant('Hello, TensorFlow!')</b>
-     >>> <b>sess = tf.Session()</b>
-     >>> <b>print(sess.run(hello))</b>
-     </pre>
+Enter the following short program inside the python interactive shell:
 
-     If the Python program outputs the following, then the installation
-     is successful and you can begin writing TensorFlow programs. (If you
-     are new to TensorFlow, see
-     @{$get_started$Getting Started with TensorFlow}.)
+```python
+>>> import tensorflow as tf
+>>> hello = tf.constant('Hello, TensorFlow!')
+>>> sess = tf.Session()
+>>> print(sess.run(hello))
+```
 
-     <pre>Hello, TensorFlow!</pre>
+If the system outputs the following, then you are ready to begin writing
+TensorFlow programs:
 
-     If the system generates an error message instead of a greeting,
-     see the next section.
+<pre>Hello, TensorFlow!</pre>
 
+If you are new to TensorFlow, see @{$get_started$Getting Started with
+TensorFlow}.
+
+If the system outputs an error message instead of a greeting, see [Common
+installation problems](#common_installation_problems).
 
 ## Common installation problems