查看“TensorFlow”的源代码

== 安装 ==
系统 ubuntu 16.04 amd64 
=== 安装 pip3 ===
这里选择 python 3 作为开发环境
 sudo apt-get install python-dev build-essential
 sudo apt-get install -y python3-pip
 sudo pip3 install --upgrade pip
 sudo mv /usr/bin/pip3 /usr/bin/pip3.bak
 sudo ln -s /usr/local/bin/pip3 /usr/bin/

下面安装过程中，如果有 nvidia GPU 显卡，安装 gpu 版本，否则安装 cpu 版本。

=== 安装CPU版本 ===
 sudo pip3 install tensorflow

=== 安装GPU版本 ===
==== 安装 tensorflow gpu 版本 ====
 sudo pip3 install tensorflow-gpu
 sudo pip3 install gunicorn flask image

==== 加入 显卡 ppa 源 ====
 sudo apt-get install software-properties-common
 sudo add-apt-repository ppa:graphics-drivers/ppa
 sudo apt update

==== 安装 Nvidia Toolkit 8.0 ====
来源： https://developer.nvidia.com/cuda-toolkit
 wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
 sudo dpkg -i cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
 sudo apt-get update
 sudo apt-get install cuda

==== 安装 CudNN ====
来源： https://developer.nvidia.com/cudnn 需要注册和下载

下载：  https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v5.1/prod_20161129/8.0/libcudnn5_5.1.10-1+cuda8.0_amd64-deb

 sudo dpkg -i libcudnn5_5.1.10-1+cuda8.0_amd64-deb

==== 设置环境变量 ====
 echo 'export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"' >> .bashrc
 echo 'export CUDA_HOME=/usr/local/cuda' >> .bashrc
 source ~/.bashrc

==== 查看显卡信息 ====
 nvidia-smi

== 参考链接 ==

http://wiki.jikexueyuan.com/project/tensorflow-zh/tutorials/mnist_beginners.html

http://blog.topspeedsnail.com/archives/10858

http://blog.topspeedsnail.com/archives/10897