ubuntu14.04Lts安装Tensorflow（1）

ubuntu14.04Lts安装Tensorflow（1）

1、关于ubuntu系统的安装在此就不再详述，可见ubuntu安装。

2、由于实验过程中使用到GPU，所以在安装完ubuntu14.04之后，安装相对应于GPU的显卡驱动，安装方法可见nvidia驱动安装。

3、首先我们得从github上克隆Tensorflow库：

$ git clone --recurse-submodules https://github.com/tensorflow/tensorflow

4、接下来安装Bazel

5、安装一些依赖

$sudo apt-get install python-numpy swig python-dev python-wheel

6、安装cuda

检测显卡的计算能力，Tensorflow要求显卡的计算能力大于3.5，查询显卡计算能力。

下载和安装cuda toolkit7.5，cuda下载。

安装依赖库：

$sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev 

安装cuda<pre name="code" class="plain">$ sudo dpkg -i cuda-repo-ubuntu1504-7-5-local_7.5-18_amd64

$ sudo apt-get update

$ sudo apt-get install -y cuda

装好之后将cuda的路径bin和lib64写进环境变量。

7、安装cudnn v5

下载cudnn v5。cudnn下载

tar xvzf cudnn-7.5-linux-x64-v5.tgzsudo cp cudnn-7.5-linux-x64-v5/cudnn.h /usr/local/cuda/includesudo cp cudnn-7.5-linux-x64-v5/libcudnn* /usr/local/cuda/lib64sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

8、配置Tensorflow

进入Tensorflow目录

$ ./configurePlease specify the location of python. [Default is /usr/bin/python]:Do you wish to build TensorFlow with GPU support? [y/N] yGPU support will be enabled for TensorFlowPlease specify which gcc nvcc should use as the host compiler. [Default is/usr/bin/gcc]: /usr/bin/gcc-4.9Please specify the Cuda SDK version you want to use, e.g. 7.0. [Leaveempty to use system default]: 7.5Please specify the location where CUDA 7.5 toolkit is installed. Refer toREADME.md for more details. [default is: /usr/local/cuda]: /usr/local/cudaPlease specify the Cudnn version you want to use. [Leave empty to use systemdefault]: 4.0.4Please specify the location where the cuDNN 4.0.4 library is installed. Refer toREADME.md for more details. [default is: /usr/local/cuda]: /usr/local/cudnn-r4-rc/Please specify a list of comma-separated Cuda compute capabilities you want tobuild with. You can find the compute capability of your device at:https://developer.nvidia.com/cuda-gpus.Please note that each additional compute capability significantly increases yourbuild time and binary size. [Default is: \"3.5,5.2\"]: 3.5Setting up Cuda includeSetting up Cuda lib64Setting up Cuda binSetting up Cuda nvvmSetting up CUPTI includeSetting up CUPTI lib64Configuration finished

9、构建GPU支持

$ bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainer$ bazel-bin/tensorflow/cc/tutorials_example_trainer --use_gpu# Lots of output. This tutorial iteratively calculates the major eigenvalue of# a 2x2 matrix, on GPU. The last few lines look like this.000009/000005 lambda = 2.000000 x = [0.894427 -0.447214] y = [1.788854 -0.894427]000006/000001 lambda = 2.000000 x = [0.894427 -0.447214] y = [1.788854 -0.894427]000009/000009 lambda = 2.000000 x = [0.894427 -0.447214] y = [1.788854 -0.894427]

10、问题
在配置Tensorflow时，会安装boringssl,由于网络的限制，无法从google上下载软件，需要从github中下载。

解决方案：打开/tensorflow/tensorflow/wokspca.bzl,修改commit和remote

commit = "053931e",remote = "https://github.com/google/boringssl",

以上是安装Tensorflow过程，本过程是由Tensorflow官网所提供，其他解决方案都是由github上的大神所提供。