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-rw-r--r--tensorflow/docs_src/install/install_linux.md62
1 files changed, 42 insertions, 20 deletions
diff --git a/tensorflow/docs_src/install/install_linux.md b/tensorflow/docs_src/install/install_linux.md
index 47c8fc77ee..8ce4acda13 100644
--- a/tensorflow/docs_src/install/install_linux.md
+++ b/tensorflow/docs_src/install/install_linux.md
@@ -69,6 +69,8 @@ supported choices are as follows:
* ["native" pip](#InstallingNativePip)
* [Docker](#InstallingDocker)
* [Anaconda](#InstallingAnaconda)
+ * installing from sources, which is documented in
+ [a separate guide](https://www.tensorflow.org/install/install_sources).
**We recommend the virtualenv installation.**
[Virtualenv](https://virtualenv.pypa.io/en/stable/)
@@ -114,12 +116,12 @@ 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
- $ <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
virtualenv tree. Our instructions assume that
@@ -129,22 +131,22 @@ Take the following steps to install TensorFlow with Virtualenv:
3. Activate the virtualenv environment by issuing 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>
The preceding <tt>source</tt> command should change your prompt
to the following:
- <pre> (tensorflow)$ </pre>
+ <pre>(tensorflow)$ </pre>
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
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>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>
@@ -152,6 +154,26 @@ Take the following steps to install TensorFlow with Virtualenv:
If the preceding command succeeds, skip Step 5. If the preceding
command fails, perform Step 5.
+ 5. (Optional) If Step 4 failed (typically because you invoked a pip version
+ 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>tfBinaryURL</i> # Python 2.7
+ (tensorflow)$ <b>pip3 install --upgrade</b> <i>tfBinaryURL</i> # Python 3.n </pre>
+
+ where <code><em>tfBinaryURL</em></code> identifies the URL of the
+ TensorFlow Python package. The appropriate value of
+ <code><em>tfBinaryURL</em></code>depends on the operating system,
+ Python version, and GPU support. Find the appropriate value for
+ <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>pip3 install --upgrade \
+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp34-cp34m-linux_x86_64.whl</b></pre>
+
If you encounter installation problems, see
[Common Installation Problems](#common_installation_problems).
@@ -230,7 +252,7 @@ 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>
@@ -241,7 +263,7 @@ 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>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>
where <code><em>tfBinaryURL</em></code> identifies the URL of the
@@ -255,7 +277,7 @@ take the following steps:
<pre>
$ <b>sudo pip3 install --upgrade \
- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp34-cp34m-linux_x86_64.whl</b>
+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp34-cp34m-linux_x86_64.whl</b>
</pre>
If this step fails, see
@@ -427,13 +449,13 @@ Take the following steps to install TensorFlow in an Anaconda environment:
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>
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>tfBinaryURL</i></pre>
+ <pre>(tensorflow)$ <b>pip install --ignore-installed --upgrade</b> <i>tfBinaryURL</i></pre>
where <code><em>tfBinaryURL</em></code> is the
[URL of the TensorFlow Python package](#the_url_of_the_tensorflow_python_package).
@@ -442,7 +464,7 @@ Take the following steps to install TensorFlow in an Anaconda environment:
<pre>
(tensorflow)$ <b>pip install --ignore-installed --upgrade \
- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp34-cp34m-linux_x86_64.whl</b></pre>
+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp34-cp34m-linux_x86_64.whl</b></pre>
<a name="ValidateYourInstallation"></a>
@@ -610,14 +632,14 @@ This section documents the relevant values for Linux installations.
CPU only:
<pre>
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp27-none-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp27-none-linux_x86_64.whl
</pre>
GPU support:
<pre>
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.1.0-cp27-none-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0rc2-cp27-none-linux_x86_64.whl
</pre>
Note that GPU support requires the NVIDIA hardware and software described in
@@ -629,14 +651,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
CPU only:
<pre>
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp34-cp34m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp34-cp34m-linux_x86_64.whl
</pre>
GPU support:
<pre>
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.1.0-cp34-cp34m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0rc2-cp34-cp34m-linux_x86_64.whl
</pre>
Note that GPU support requires the NVIDIA hardware and software described in
@@ -648,14 +670,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
CPU only:
<pre>
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp35-cp35m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp35-cp35m-linux_x86_64.whl
</pre>
GPU support:
<pre>
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0rc2-cp35-cp35m-linux_x86_64.whl
</pre>
@@ -667,14 +689,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
CPU only:
<pre>
-https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp36-cp36m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.2.0rc2-cp36-cp36m-linux_x86_64.whl
</pre>
GPU support:
<pre>
-https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.1.0-cp36-cp36m-linux_x86_64.whl
+https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.0rc2-cp36-cp36m-linux_x86_64.whl
</pre>
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-02 04:14:40 +0000