Update installation documentation to reflect that CUDA 8 and cuDNN 6 are minimal...

Remove GPU instructions for MacOS because GPUs are not supported anymore.

PiperOrigin-RevId: 196939548

diff --git a/tensorflow/docs_src/install/install_linux.md b/tensorflow/docs_src/install/install_linux.md
index 761555c..9d9322d 100644 (file)
--- a/tensorflow/docs_src/install/install_linux.md
+++ b/tensorflow/docs_src/install/install_linux.md
@@ -533,12 +533,6 @@ Add this path to the `LD_LIBRARY_PATH` environmental variable:
   <code class="devsite-terminal">export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:+${LD_LIBRARY_PATH}:}/usr/local/cuda/extras/CUPTI/lib64</code>
 </pre>
 
-For CUDA Toolkit <= 7.5 use:
-
-<pre class="prettyprint lang-bsh">
-  <code class="devsite-terminal">sudo apt-get install libcupti-dev</code>
-</pre>
-
 * *OPTIONAL*:  For optimized performance during inference, install
   *NVIDIA&nbsp;TensorRT&nbsp;3.0*. To install the minimal amount of TensorRT
   runtime components required to use with the pre-built `tensorflow-gpu` package:

diff --git a/tensorflow/docs_src/install/install_sources.md b/tensorflow/docs_src/install/install_sources.md
index a4fec38..8bbdf01 100644 (file)
--- a/tensorflow/docs_src/install/install_sources.md
+++ b/tensorflow/docs_src/install/install_sources.md
@@ -133,7 +133,7 @@ The following NVIDIA <i>hardware</i> must be installed on your system:
 
 The following NVIDIA <i>software</i> must be installed on your system:
 
-  * [CUDA Toolkit](http://nvidia.com/cuda) (>= 7.0). We recommend version 9.0.
+  * [CUDA Toolkit](http://nvidia.com/cuda) (>= 8.0). We recommend version 9.0.
     For details, see
     [NVIDIA's documentation](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/).
     Ensure that you append the relevant CUDA pathnames to the
@@ -141,7 +141,7 @@ The following NVIDIA <i>software</i> must be installed on your system:
     NVIDIA documentation.
   * [GPU drivers](http://nvidia.com/driver) supporting your version of the CUDA
     Toolkit.
-  * [cuDNN SDK](http://developer.nvidia.com/cudnn) (>= v3). We recommend version 7.0. For details, see
+  * [cuDNN SDK](http://developer.nvidia.com/cudnn) (>= 6.0). We recommend version 7.0. For details, see
     [NVIDIA's documentation](http://docs.nvidia.com/deeplearning/sdk/cudnn-install/).
   * [CUPTI](http://docs.nvidia.com/cuda/cupti/) ships with the CUDA Toolkit, but
     you also need to append its path to the `LD_LIBRARY_PATH` environment
@@ -195,32 +195,6 @@ plan on executing tasks directly with `bazel` , without the pip installation,
 you may need to install additional python packages. For example, you should
 `pip install mock enum34` before running TensorFlow's tests with bazel.
 
-### Optional: install TensorFlow for GPU prerequisites
-
-If you do not have brew installed, install it by following
-[these instructions](http://brew.sh/).
-
-After installing brew, install GNU coreutils by issuing the following command:
-
-<pre>$ <b>brew install coreutils</b></pre>
-
-If you want to compile tensorflow and have XCode 7.3 and CUDA 7.5 installed,
-note that Xcode 7.3 is not yet compatible with CUDA 7.5.  To remedy this
-problem, do either of the following:
-
-  * Upgrade to CUDA 8.0.
-  * Download Xcode 7.2 and select it as your default by issuing the following
-    command:
-
-    <pre> $ <b>sudo xcode-select -s /Applications/Xcode-7.2/Xcode.app</b></pre>
-
-**NOTE:** Your system must fulfill the NVIDIA software requirements described
-in one of the following documents:
-
-  * @{$install_linux#NVIDIARequirements$Installing TensorFlow on Linux}
-  * @{$install_mac#NVIDIARequirements$Installing TensorFlow on Mac OS}
-
-
 <a name="ConfigureInstallation"></a>
 ## Configure the installation
 
@@ -280,7 +254,7 @@ Do you wish to build TensorFlow with CUDA support? [y/N] <b>Y</b>
 CUDA support will be enabled for TensorFlow
 Do you want to use clang as CUDA compiler? [y/N]
 nvcc will be used as CUDA compiler
-Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 9.0]: <b>9.0</b>
+Please specify the CUDA SDK version you want to use. [Leave empty to default to CUDA 9.0]: <b>9.0</b>
 Please specify the location where CUDA 9.0 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:
 Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]:
 Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7.0]: <b>7</b>