Fixed some formatting issues in Installing TF on Linux and Installing TF on Mac OS.

Change: 151538676

2 files changed, 43 insertions, 42 deletions

diff --git a/tensorflow/docs_src/install/install_linux.md b/tensorflow/docs_src/install/install_linux.md
index b2a008fb96..80331e7ea8 100644
--- a/tensorflow/docs_src/install/install_linux.md
+++ b/tensorflow/docs_src/install/install_linux.md
@@ -114,16 +114,17 @@ Take the following steps to install TensorFlow with Virtualenv:
   1. Install pip and virtualenv by issuing one of the following commands:
 
      <pre>$ <b>sudo apt-get install python-pip python-dev python-virtualenv</b> # for Python 2.7
-     $ <b>sudo apt-get install python3-pip python3-dev python-virtualenv</b> # for Python 3.n</pre>
+    $ <b>sudo apt-get install python3-pip python3-dev python-virtualenv</b> # for Python 3.n</pre>
 
   2. Create a virtualenv environment by issuing one of the following commands:
 
-     <pre>$ <b>virtualenv --system-site-packages</b> <i>targetDirectory</i> # for Python 2.7 </pre>
-     $ <b>virtualenv --system-site-packages -p python3</b> <i>targetDirectory</i> # for Python 3.n</pre>
+     <pre>$ <b>virtualenv --system-site-packages</b> <i>targetDirectory</i> # for Python 2.7
+    $ <b>virtualenv --system-site-packages -p python3</b> <i>targetDirectory</i> # for Python 3.n</pre>
 
-     The <code><em>targetDirectory</em></code> specifies the top of the
+     where <code><em>targetDirectory</em></code> specifies the top of the
      virtualenv tree.  Our instructions assume that
-     <code><em>targetDirectory</em></code> is `~/tensorflow`, but you may choose any directory.
+     <code><em>targetDirectory</em></code> is `~/tensorflow`, but you may
+     choose any directory.
 
   3. Activate the virtualenv environment by issuing one of the following
      commands:
@@ -151,24 +152,24 @@ Take the following steps to install TensorFlow with Virtualenv:
      lower than 8.1), install TensorFlow in the active virtualenv environment
      by issuing a command of the following format:
 
-     <pre> (tensorflow)$ <b>pip install --upgrade</b> <i>TF_PYTHON_URL</i>   # Python 2.7
-     (tensorflow)$ <b>pip3 install --upgrade</b> <i>TF_PYTHON_URL</i>  # Python 3.n </pre>
+     <pre> (tensorflow)$ <b>pip install --upgrade</b> <i>tfBinaryURL</i>   # Python 2.7
+     (tensorflow)$ <b>pip3 install --upgrade</b> <i>tfBinaryURL</i>  # Python 3.n </pre>
 
-     where <code><em>TF_PYTHON_URL</em></code> identifies the URL of the
+     where <code><em>tfBinaryURL</em></code> identifies the URL of the
      TensorFlow Python package. The appropriate value of
-     <code><em>TF_PYTHON_URL</em></code>depends on the operating system,
+     <code><em>tfBinaryURL</em></code>depends on the operating system,
      Python version, and GPU support. Find the appropriate value for
-     <code><em>TF_PYTHON_URL</em></code> for your system
+     <code><em>tfBinaryURL</em></code> for your system
      [here](#the_url_of_the_tensorflow_python_package).  For example, if you
      are installing TensorFlow for Linux, Python 2.7, and CPU-only support,
      issue the following command to install TensorFlow in the active
      virtualenv environment:
 
      <pre> (tensorflow)$ <b>pip install --upgrade \\
-     https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1-cp27-none-linux_x86_64.whl</pre>
+     https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1-cp27-none-linux_x86_64.whl</b></pre>
 
 If you encounter installation problems, see
-[Common Installation Problems](#CommonInstallationProblems).
+[Common Installation Problems](#common_installation_problems).
 
 
 ### Next Steps
@@ -233,7 +234,7 @@ of pip or pip3.  If Version 8.1 or later is not installed, issue the
 following command, which will either install or upgrade to the latest
 pip version:
 
-<pre> $ <b>sudo apt-get install python-pip python-dev</b>   # for Python 2.7
+<pre>$ <b>sudo apt-get install python-pip python-dev</b>   # for Python 2.7
 $ <b>sudo apt-get install python3-pip python3-dev</b> # for Python 3.n
 </pre>
 
@@ -256,14 +257,14 @@ take the following steps:
   2. (Optional.) If Step 1 failed, install the latest version of TensorFlow
      by issuing a command of the following format:
 
-     <pre> $ <b>sudo pip  install --upgrade</b> <i>TF_BINARY_URL</i>   # Python 2.7
-     $ <b>sudo pip3 install --upgrade</b> <i>TF_BINARY_URL</i>   # Python 3.n </pre>
+     <pre> $ <b>sudo pip  install --upgrade</b> <i>tfBinaryURL</i>   # Python 2.7
+     $ <b>sudo pip3 install --upgrade</b> <i>tfBinaryURL</i>   # Python 3.n </pre>
 
-     where <code><em>TF_PYTHON_URL</em></code> identifies the URL of the
+     where <code><em>tfBinaryURL</em></code> identifies the URL of the
      TensorFlow Python package. The appropriate value of
-     <code><em>TF_BINARY_URL</em></code> depends on the operating system,
+     <code><em>tfBinaryURL</em></code> depends on the operating system,
      Python version, and GPU support. Find the appropriate value for
-     <code><em>TF_BINARY_URL</em></code>
+     <code><em>tfBinaryURL</em></code>
      [here](#the_url_of_the_tensorflow_python_package).  For example, to
      install TensorFlow for Linux, Python 2.7, and CPU-only support, issue
      the following command:
@@ -272,7 +273,7 @@ take the following steps:
      https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1-cp27-none-linux_x86_64.whl</b></pre>
 
      If this step fails, see
-     [Common Installation Problems](#CommonInstallationProblems).
+     [Common Installation Problems](#common_installation_problems).
 
 
 ### Next Steps
@@ -446,9 +447,9 @@ Take the following steps to install TensorFlow in an Anaconda environment:
   4. Issue a command of the following format to install
      TensorFlow inside your conda environment:
 
-     <pre> (tensorflow)$ <b>pip install --ignore-installed --upgrade</b> <i>TF_PYTHON_URL</i></pre>
+     <pre> (tensorflow)$ <b>pip install --ignore-installed --upgrade</b> <i>tfBinaryURL</i></pre>
 
-     where <code><em>TF_PYTHON_URL</em></code> is the
+     where <code><em>tfBinaryURL</em></code> is the
      [URL of the TensorFlow Python package](#the_url_of_the_tensorflow_python_package).
      For example, the following command installs the CPU-only version of
      TensorFlow for Python 2.7:
diff --git a/tensorflow/docs_src/install/install_mac.md b/tensorflow/docs_src/install/install_mac.md
index c2ce7d8bb3..592036d1eb 100644
--- a/tensorflow/docs_src/install/install_mac.md
+++ b/tensorflow/docs_src/install/install_mac.md
@@ -119,15 +119,15 @@ Take the following steps to install TensorFlow with Virtualenv:
      $ <b>virtualenv --system-site-packages -p python3</b> <i>targetDirectory</i> # for Python 3.n
      </pre>
 
-     The <i>targetDirectory</i> identifies the top of the virtualenv tree.
+     where <i>targetDirectory</i> identifies the top of the virtualenv tree.
      Our instructions assume that <i>targetDirectory</i>
      is `~/tensorflow`, but you may choose any directory.
 
   4. Activate the virtualenv environment by issuing one of the
      following commands:
 
-     <pre> $ <b>source ~/tensorflow/bin/activate</b>      # If using bash, sh, ksh, or zsh
-     $ <b>source ~/tensorflow/bin/activate.csh</b>  # If using csh or tcsh </pre>
+     <pre>$ <b>source ~/tensorflow/bin/activate</b>      # If using bash, sh, ksh, or zsh
+    $ <b>source ~/tensorflow/bin/activate.csh</b>  # If using csh or tcsh </pre>
 
      The preceding `source` command should change your prompt to the following:
 
@@ -149,14 +149,14 @@ Take the following steps to install TensorFlow with Virtualenv:
      lower than 8.1), install TensorFlow in the active
      virtualenv environment by issuing a command of the following format:
 
-     <pre> $ <b>pip install --upgrade</b> <i>TF_BINARY_URL</i>   # Python 2.7
-     $ <b>pip3 install --upgrade</b> <i>TF_BINARY_URL</i>  # Python 3.n </pre>
+     <pre> $ <b>pip install --upgrade</b> <i>tfBinaryURL</i>   # Python 2.7
+     $ <b>pip3 install --upgrade</b> <i>tfBinaryURL</i>  # Python 3.n </pre>
 
-     where <i>TF_BINARY_URL</i> identifies the URL
+     where <i>tfBinaryURL</i> identifies the URL
      of the TensorFlow Python package. The appropriate value of
-     <i>TF_BINARY_URL</i> depends on the operating system,
+     <i>tfBinaryURL</i> depends on the operating system,
      Python version, and GPU support. Find the appropriate value for
-     <i>TF_BINARY_URL</i> for your system
+     <i>tfBinaryURL</i> for your system
      [here](#the_url_of_the_tensorflow_python_package).
      For example, if you are installing TensorFlow for Mac OS X,
      Python 2.7, and CPU-only support, the command to install
@@ -180,7 +180,7 @@ use TensorFlow in a new shell.  If the virtualenv environment is not
 currently active (that is, the prompt is not `(tensorflow)`, invoke
 one of the following commands:
 
-<pre> $ <b>source ~/tensorflow/bin/activate</b>      # bash, sh, ksh, or zsh
+<pre>$ <b>source ~/tensorflow/bin/activate</b>      # bash, sh, ksh, or zsh
 $ <b>source ~/tensorflow/bin/activate.csh</b>  # csh or tcsh </pre>
 
 Your prompt will transform to the following to indicate that your
@@ -263,7 +263,7 @@ take the following steps:
 
   1. Install TensorFlow by invoking **one** of the following commands:
 
-     <pre>$ <b>pip install tensorflow</b>      # Python 2.7; CPU support (no GPU support)
+     <pre> $ <b>pip install tensorflow</b>      # Python 2.7; CPU support (no GPU support)
      $ <b>pip3 install tensorflow</b>     # Python 3.n; CPU support (no GPU support)
      $ <b>pip install tensorflow-gpu</b>  # Python 2.7;  GPU support
      $ <b>pip3 install tensorflow-gpu</b> # Python 3.n; GPU support </pre>
@@ -274,13 +274,13 @@ take the following steps:
   2. (Optional.) If Step 1 failed, install the latest version of TensorFlow
      by issuing a command of the following format:
 
-     <pre>$ <b>sudo pip  install --upgrade</b> <i>TF_BINARY_URL</i>   # Python 2.7
-     $ <b>sudo pip3 install --upgrade</b> <i>TF_BINARY_URL</i>   # Python 3.n </pre>
+     <pre> $ <b>sudo pip  install --upgrade</b> <i>tfBinaryURL</i>   # Python 2.7
+     $ <b>sudo pip3 install --upgrade</b> <i>tfBinaryURL</i>   # Python 3.n </pre>
 
-     where <i>TF_BINARY_URL</i> identifies the URL of the TensorFlow Python
-     package. The appropriate value of <i>TF_BINARY_URL</i> depends on the
+     where <i>tfBinaryURL</i> identifies the URL of the TensorFlow Python
+     package. The appropriate value of <i>tfBinaryURL</i> depends on the
      operating system, Python version, and GPU support. Find the appropriate
-     value for <i>TF_BINARY_URL</i>
+     value for <i>tfBinaryURL</i>
      [here](#the_url_of_the_tensorflow_python_package).  For example, if
      you are installing TensorFlow for Mac OS, Python 2.7, and CPU-only
      support, issue the following command:
@@ -390,9 +390,9 @@ Take the following steps to install TensorFlow in an Anaconda environment:
   4. Issue a command of the following format to install
      TensorFlow inside your conda environment:
 
-     <pre>(tensorflow)<b>$ pip install --ignore-installed --upgrade $TF_PYTHON_URL</b></pre>
+     <pre>(tensorflow)<b>$ pip install --ignore-installed --upgrade</b> <i>TF_PYTHON_URL</i></pre>
 
-     where `TF_PYTHON_URL` is the
+     where <i>TF_PYTHON_URL</i> is the
      [URL of the TensorFlow Python package](#the_url_of_the_tensorflow_python_package).
      For example, the following command installs the CPU-only version of
      TensorFlow for Python 2.7:
@@ -658,13 +658,13 @@ the custom binary protobuf pip package, invoke one of the following commands:
 
   * for Python 2.7:
 
-  <pre> $ <b>pip install --upgrade \
-  https://storage.googleapis.com/tensorflow/linux/cpu/protobuf-3.1.0-cp27-none-linux_x86_64.whl</b></pre>
+    <pre>$ <b>pip install --upgrade \
+    https://storage.googleapis.com/tensorflow/linux/cpu/protobuf-3.1.0-cp27-none-linux_x86_64.whl</b></pre>
 
   * for Python 3.n:
 
-  <pre> $ <b>pip3 install --upgrade \
-  https://storage.googleapis.com/tensorflow/linux/cpu/protobuf-3.1.0-cp35-none-linux_x86_64.whl</b> </pre>
+    <pre>$ <b>pip3 install --upgrade \
+    https://storage.googleapis.com/tensorflow/linux/cpu/protobuf-3.1.0-cp35-none-linux_x86_64.whl</b> </pre>
 
 Installing this protobuf package will overwrite the existing protobuf package.
 Note that the binary pip package already has support for protobufs