原文链接：

本文记录Ubuntu 16.04安装Tensorflow步骤，也包括怎么从源码编译安装Tensorflow。

要想安装Tensorflow GPU版本，你需要有一个新一点的Nvidia显卡。

Tensorflow cpu版本的安装

$ sudo apt-get install python-pip python-dev python-virtualenv    # python 2.7
$ sudo apt-get install python3-pip python3-dev python3-virtualenv # python 3.4+

使用虚拟环境（可选）：Python虚拟环境（pyvenv、virtualenv）

$ virtualenv --system-site-packages ~/tensorflow
$ source ~/tensorflow/bin/activate

# Ubuntu/Linux 64-bit,cpu only,Python 2.7
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc1-cp27-none-linux_x86_64.whl
 
# Ubuntu/Linux 64-bit,Python 3.4
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc1-cp34-cp34m-linux_x86_64.whl
 
# Ubuntu/Linux 64-bit,Python 3.5
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc1-cp35-cp35m-linux_x86_64.whl

安装Tensorflow：

# Python 2
$ sudo pip install --upgrade $TF_BINARY_URL
 
# Python 3
$ sudo pip3 install --upgrade $TF_BINARY_URL

如果要升级Tensorflow，替换新版本的TF_BINARY_URL。https://www.tensorflow.org

编译安装Tensorflow（GPU支持）

安装NVidia显卡驱动，你可以在Ubuntu内置的附加驱动中安装。

$ sudo add-apt-repository ppa:graphics-drivers/ppa
$ sudo apt update

安装CUDA：

#下载安装：
#https://developer.nvidia.com/cuda-toolkit
$ sudo sh cuda_8.0.44_linux.run --override   # 安装位置: /usr/local/cuda
 
# 默认仓库中的版本较旧
#$ sudo apt install nvidia-cuda-toolkit nvidia-cuda-dev   # 安装位置: /usr

安装CudNN V5：https://developer.nvidia.com/cudnn

# 下载CudNN 5.1 for Cuda 8.0
$ sudo tar -xzvf cudnn-8.0-linux-x64-v5.1.tgz
$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*

export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
export CUDA_HOME=/usr/local/cuda

$ source ~/.bashrc

$ cd ~
$ git clone https://github.com/tensorflow/tensorflow

$ sudo apt-get install default-jdk python-dev python3-dev python-numpy python3-numpy build-essential python-pip python3-pip python-virtualenv swig python-wheel libcurl3-dev

$ echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
$ curl https://storage.googleapis.com/bazel-apt/doc/apt-key.pub.gpg | sudo apt-key add -
$ sudo apt-get update
$ sudo apt-get install bazel
$ sudo apt-get upgrade bazel

$ cd ~/tensorflow
$ ./configure

INFO: All external dependencies fetched successfully.
Configuration finished

$ bazel build -c opt --config=cuda  # GPU支持
# cpu支持
#$ bazel build -c opt

$ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

$ sudo pip install /tmp/tensorflow_pkg/tensorflow   # python2
$ sudo pip3 install /tmp/tensorflow_pkg/tensorflow  # python3