diff options
Diffstat (limited to 'tensorflow/docs_src/install/install_linux.md')
| -rw-r--r-- | tensorflow/docs_src/install/install_linux.md | 38 |
1 files changed, 25 insertions, 13 deletions
diff --git a/tensorflow/docs_src/install/install_linux.md b/tensorflow/docs_src/install/install_linux.md index 576099f054..9d204cc246 100644 --- a/tensorflow/docs_src/install/install_linux.md +++ b/tensorflow/docs_src/install/install_linux.md @@ -42,9 +42,21 @@ must be installed on your system: a list of supported GPU cards. * The libcupti-dev library, which is the NVIDIA CUDA Profile Tools Interface. This library provides advanced profiling support. To install this library, - issue the following command: + issue the following command for CUDA Toolkit >= 8.0: <pre> + $ <b>sudo apt-get install cuda-command-line-tools</b> + </pre> + + and add its path to your `LD_LIBRARY_PATH` environment variable: + + <pre> + $ <b>export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/extras/CUPTI/lib64</b> + </pre> + + For CUDA Toolkit <= 7.5 do: + + <pre> $ <b>sudo apt-get install libcupti-dev</b> </pre> @@ -172,7 +184,7 @@ Take the following steps to install TensorFlow with Virtualenv: virtualenv environment: <pre>(tensorflow)$ <b>pip3 install --upgrade \ - https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0dev-cp34-cp34m-linux_x86_64.whl</b></pre> + https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl</b></pre> If you encounter installation problems, see [Common Installation Problems](#common_installation_problems). @@ -277,7 +289,7 @@ take the following steps: <pre> $ <b>sudo pip3 install --upgrade \ - https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0dev-cp34-cp34m-linux_x86_64.whl</b> + https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl</b> </pre> If this step fails, see @@ -445,7 +457,7 @@ Take the following steps to install TensorFlow in an Anaconda environment: 2. Create a conda environment named <tt>tensorflow</tt> to run a version of Python by invoking the following command: - <pre>$ <b>conda create -n tensorflow python=2.7 # or python=3.3, etc.</b></pre> + <pre>$ <b>conda create -n tensorflow pip python=2.7 # or python=3.3, etc.</b></pre> 3. Activate the conda environment by issuing the following command: @@ -464,7 +476,7 @@ 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-1.4.0dev-cp34-cp34m-linux_x86_64.whl</b></pre> + https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl</b></pre> <a name="ValidateYourInstallation"></a> @@ -632,14 +644,14 @@ This section documents the relevant values for Linux installations. CPU only: <pre> -https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0dev-cp27-none-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp27-none-linux_x86_64.whl </pre> GPU support: <pre> -https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0dev-cp27-none-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp27-none-linux_x86_64.whl </pre> Note that GPU support requires the NVIDIA hardware and software described in @@ -651,14 +663,14 @@ Note that GPU support requires the NVIDIA hardware and software described in CPU only: <pre> -https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0dev-cp34-cp34m-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp34-cp34m-linux_x86_64.whl </pre> GPU support: <pre> -https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0dev-cp34-cp34m-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp34-cp34m-linux_x86_64.whl </pre> Note that GPU support requires the NVIDIA hardware and software described in @@ -670,14 +682,14 @@ Note that GPU support requires the NVIDIA hardware and software described in CPU only: <pre> -https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0dev-cp35-cp35m-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp35-cp35m-linux_x86_64.whl </pre> GPU support: <pre> -https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0dev-cp35-cp35m-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp35-cp35m-linux_x86_64.whl </pre> @@ -689,14 +701,14 @@ Note that GPU support requires the NVIDIA hardware and software described in CPU only: <pre> -https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0dev-cp36-cp36m-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.4.0rc0-cp36-cp36m-linux_x86_64.whl </pre> GPU support: <pre> -https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0dev-cp36-cp36m-linux_x86_64.whl +https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0rc0-cp36-cp36m-linux_x86_64.whl </pre> |