diff options
Diffstat (limited to 'tensorflow/docs_src/install/install_mac.md')
| -rw-r--r-- | tensorflow/docs_src/install/install_mac.md | 23 |
1 files changed, 11 insertions, 12 deletions
diff --git a/tensorflow/docs_src/install/install_mac.md b/tensorflow/docs_src/install/install_mac.md index 623ca6bb79..205db8e6bd 100644 --- a/tensorflow/docs_src/install/install_mac.md +++ b/tensorflow/docs_src/install/install_mac.md @@ -119,7 +119,7 @@ Take the following steps to install TensorFlow with Virtualenv: TensorFlow in the active Virtualenv is as follows: <pre> $ <b>pip install --upgrade \ - https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0rc1-py2-none-any.whl</b></pre> + https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0-py2-none-any.whl</b></pre> If you encounter installation problems, see [Common Installation Problems](#common-installation-problems). @@ -242,7 +242,7 @@ take the following steps: issue the following command: <pre> $ <b>sudo pip install --upgrade \ - https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0rc1-py2-none-any.whl</b> </pre> + https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0-py2-none-any.whl</b> </pre> If the preceding command fails, see [installation problems](#common-installation-problems). @@ -292,24 +292,23 @@ where: to 6006. * <i>TensorFlowImage</i> is required. It identifies the Docker container. You must specify one of the following values: - * <code>gcr.io/tensorflow/tensorflow</code>: TensorFlow binary image. - * <code>gcr.io/tensorflow/tensorflow:latest-devel</code>: TensorFlow + * <code>tensorflow/tensorflow</code>: TensorFlow binary image. + * <code>tensorflow/tensorflow:latest-devel</code>: TensorFlow Binary image plus source code. -<code>gcr.io</code> is the Google Container Registry. Note that some -TensorFlow images are also available at +The TensorFlow images are available at [dockerhub](https://hub.docker.com/r/tensorflow/tensorflow/). For example, the following command launches a TensorFlow CPU binary image in a Docker container from which you can run TensorFlow programs in a shell: -<pre>$ <b>docker run -it gcr.io/tensorflow/tensorflow bash</b></pre> +<pre>$ <b>docker run -it tensorflow/tensorflow bash</b></pre> The following command also launches a TensorFlow CPU binary image in a Docker container. However, in this Docker container, you can run TensorFlow programs in a Jupyter notebook: -<pre>$ <b>docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow</b></pre> +<pre>$ <b>docker run -it -p 8888:8888 tensorflow/tensorflow</b></pre> Docker will download the TensorFlow binary image the first time you launch it. @@ -351,7 +350,7 @@ Take the following steps to install TensorFlow in an Anaconda environment: TensorFlow for Python 2.7: <pre> (<i>targetDirectory</i>)$ <b>pip install --ignore-installed --upgrade \ - https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0rc1-py2-none-any.whl</b></pre> + https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0-py2-none-any.whl</b></pre> <a name="ValidateYourInstallation"></a> @@ -376,7 +375,7 @@ do the following: If you installed through Docker, start a Docker container that runs bash. For example: -<pre>$ <b>docker run -it gcr.io/tensorflow/tensorflow bash</b></pre> +<pre>$ <b>docker run -it tensorflow/tensorflow bash</b></pre> @@ -524,7 +523,7 @@ This section documents the relevant values for Mac OS installations. <pre> -https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0rc1-py2-none-any.whl +https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0-py2-none-any.whl </pre> @@ -532,5 +531,5 @@ https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0rc1-py2-none-a <pre> -https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0rc1-py3-none-any.whl +https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.6.0-py3-none-any.whl </pre> |