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Fixed formatting in Linux install guide (#10353)

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Formatting issues were introduced in PR #8825, commit f30918b369
This commit is contained in:
Androbin 2017-06-07 01:57:52 +02:00 committed by Jonathan Hseu
parent ab5f38560c
commit 2cbcda08f4
1 changed files with 11 additions and 11 deletions
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tensorflow/docs_src/install/install_linux.md
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@ -116,12 +116,12 @@ Take the following steps to install TensorFlow with Virtualenv:
1. Install pip and virtualenv by issuing one of the following commands: 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 <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: 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</b> <i>targetDirectory</i> # for Python 2.7
$ <b>virtualenv --system-site-packages -p python3</b> <i>targetDirectory</i> # for Python 3.n</pre> $ <b>virtualenv --system-site-packages -p python3</b> <i>targetDirectory</i> # for Python 3.n</pre>
where <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 virtualenv tree. Our instructions assume that
@ -131,22 +131,22 @@ Take the following steps to install TensorFlow with Virtualenv:
3. Activate the virtualenv environment by issuing one of the following 3. Activate the virtualenv environment by issuing one of the following
commands: 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> $ <b>source ~/tensorflow/bin/activate.csh</b> # csh or tcsh</pre>
The preceding <tt>source</tt> command should change your prompt The preceding <tt>source</tt> command should change your prompt
to the following: to the following:
<pre> (tensorflow)$ </pre> <pre>(tensorflow)$ </pre>
4. Ensure pip ≥8.1 is installed: 4. Ensure pip ≥8.1 is installed:
<pre> (tensorflow)$ <b>easy_install -U pip</b></pre> <pre>(tensorflow)$ <b>easy_install -U pip</b></pre>
5. Issue one of the following commands to install TensorFlow in the active 5. Issue one of the following commands to install TensorFlow in the active
virtualenv environment: virtualenv environment:
<pre> (tensorflow)$ <b>pip install --upgrade tensorflow</b> # for Python 2.7 <pre>(tensorflow)$ <b>pip install --upgrade tensorflow</b> # for Python 2.7
(tensorflow)$ <b>pip3 install --upgrade tensorflow</b> # for Python 3.n (tensorflow)$ <b>pip3 install --upgrade tensorflow</b> # for Python 3.n
(tensorflow)$ <b>pip install --upgrade tensorflow-gpu</b> # for Python 2.7 and GPU (tensorflow)$ <b>pip install --upgrade tensorflow-gpu</b> # for Python 2.7 and GPU
(tensorflow)$ <b>pip3 install --upgrade tensorflow-gpu</b> # for Python 3.n and GPU</pre> (tensorflow)$ <b>pip3 install --upgrade tensorflow-gpu</b> # for Python 3.n and GPU</pre>
@ -158,7 +158,7 @@ Take the following steps to install TensorFlow with Virtualenv:
lower than 8.1), install TensorFlow in the active virtualenv environment lower than 8.1), install TensorFlow in the active virtualenv environment
by issuing a command of the following format: by issuing a command of the following format:
<pre> (tensorflow)$ <b>pip install --upgrade</b> <i>tfBinaryURL</i> # Python 2.7 <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> (tensorflow)$ <b>pip3 install --upgrade</b> <i>tfBinaryURL</i> # Python 3.n </pre>
where <code><em>tfBinaryURL</em></code> identifies the URL of the where <code><em>tfBinaryURL</em></code> identifies the URL of the
@ -252,7 +252,7 @@ take the following steps:
1. Install TensorFlow by invoking **one** of the following commands: 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>pip3 install tensorflow</b> # Python 3.n; CPU support (no GPU support)
$ <b>pip install tensorflow-gpu</b> # Python 2.7; 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> $ <b>pip3 install tensorflow-gpu</b> # Python 3.n; GPU support </pre>
@ -263,7 +263,7 @@ take the following steps:
2. (Optional.) If Step 1 failed, install the latest version of TensorFlow 2. (Optional.) If Step 1 failed, install the latest version of TensorFlow
by issuing a command of the following format: by issuing a command of the following format:
<pre> $ <b>sudo pip install --upgrade</b> <i>tfBinaryURL</i> # Python 2.7 <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> $ <b>sudo pip3 install --upgrade</b> <i>tfBinaryURL</i> # Python 3.n </pre>
where <code><em>tfBinaryURL</em></code> identifies the URL of the where <code><em>tfBinaryURL</em></code> identifies the URL of the
@ -449,13 +449,13 @@ Take the following steps to install TensorFlow in an Anaconda environment:
3. Activate the conda environment by issuing the following command: 3. Activate the conda environment by issuing the following command:
<pre> $ <b>source activate tensorflow</b> <pre>$ <b>source activate tensorflow</b>
(tensorflow)$ # Your prompt should change </pre> (tensorflow)$ # Your prompt should change </pre>
4. Issue a command of the following format to install 4. Issue a command of the following format to install
TensorFlow inside your conda environment: TensorFlow inside your conda environment:
<pre> (tensorflow)$ <b>pip install --ignore-installed --upgrade</b> <i>tfBinaryURL</i></pre> <pre>(tensorflow)$ <b>pip install --ignore-installed --upgrade</b> <i>tfBinaryURL</i></pre>
where <code><em>tfBinaryURL</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). [URL of the TensorFlow Python package](#the_url_of_the_tensorflow_python_package).