（Lagency+MBR）
/boot      512M
swap      16GB（本机物理内存为32GB）
/            30GB or 35GB
/home    余下的（越多越好）

（UEFI+GPT）
efi          512M
swap      16GB（本机物理内存为32GB）
/            30GB or 35GB
/home    余下的（越多越好）

swap大小设置参考：
    4GB of RAM requires a minimum of 2GB of swap space
    4GB to 16GB RAM requires a minimum of 4GB of swap space
    16GB to 64GB of RAM requires a minimum of 8GB of swap space
    64GB to 256GB of RAM requires a minimum of 16GB of swap space

sudo gedit /etc/modprobe.d/blacklist.conf
add in the last line: blacklist nouveau
sudo update-initranfs –u
reboot
lsmod | grep nouveau    //make sure nouveau is disabled, nothing will be printed out

sudo apt-get remove --purge nvidia-*
cd Downloads
sudo service lightdm stop
ctrl + alt + f1, login by name and passwd
sudo chmod a+x NVIDIA-Linux-x86_64-375.26.run
sudo ./NVIDIA-Linux-x86_64-375.26.run --no-x-check --no-nouveau-check --no-opengl-files
//
–no-opengl-files 只安装驱动文件，不安装OpenGL文件，不加会导致循环登录
–no-check 安装驱动时不检查X服务，可省略
–no-nouveau-check 安装驱动时不检查nouveau，可省略
sudo service lightdm start

sudo apt-get remove --purge nvidia-*
sudo service lightdm stop
ctrl + alt + f1, login by name and passwd
sudo add-apt-repository ppa:graphics-drivers
sudo apt-get update
sudo apt-get install nvidia-375
sudo service lightdm start

/home目录下：
sudo apt update
sudo apt install python3-dev python3-pip
sudo pip3 install -U virtualenv  # system-wide install

virtualenv --system-site-packages -p python3 ./venv_tf_p3
source ./venv_tf_p3/bin/activate
pip install --upgrade pip
pip install tensorflow-gpu==1.4
python -c "import tensorflow as tf; print(tf.__version__)"    //for test

# pip安装速度慢时需要修改pip源
在home/用户名/目录下创建.pip文件夹
cd .pip
创建pip.conf文件，并输入以下内容：
[global]
timeout = 6000
index-url = http://mirrors.aliyun.com/pypi/simple/
trusted-host = mirrors.aliyun.com

source ./venv_tf_p3/bin/activate
1、安装jupyter notebook
pip install jupyter
pip install ipykernel
2、为jupyter添加kernel
python -m ipykernel install --user --name=venv_tf_p3
3、运行
jupyter notebook

/home目录下：
sudo apt update
sudo apt install python-dev python-pip
sudo pip install –U virtualenv  # system-wide install

//安装依赖
sudo apt-get install -y --no-install-recommends \
      build-essential \
      git \
      libgoogle-glog-dev \
      libgtest-dev \
      libiomp-dev \
      libleveldb-dev \
      liblmdb-dev \
      libopencv-dev \
      libopenmpi-dev \
      libsnappy-dev \
      libprotobuf-dev \
      openmpi-bin \
      openmpi-doc \
      protobuf-compiler
sudo apt-get install -y --no-install-recommends \
      libgflags-dev \
      cmake

sudo apt install graphviz python-tk

virtualenv --system-site-packages -p python2.7 ./venv_cf_p2
source ./venv_cf_p2/bin/activate
pip install --upgrade pip

//安装依赖
pip install --user \
      future \
      numpy \
      protobuf \
      typing \
      hypothesis \
      pyyaml \
      pydot
//可选库安装
pip install --user \
      flask \
      requests \
      scikit-image \
      scipy \
      tornado
pip install --user matplotlib==2.0.2    //这里需装旧版本的matplotlib，否则在导入matplotlib时出现 ：ImportError: No module named functools_lru_cache

git clone https://github.com/pytorch/pytorch.git && cd pytorch
git submodule update --init --recursive
export USE_LMDB=1        //声明环境变量，编译LMDB，MNIST例程用到
export USE_OPENCV=1      //声明环境变量，编译OpenCV
python setup.py install

//环境变量设置
export PYTHONPATH=/usr/local:$PYTHONPATH
export PYTHONPATH=$home/pytorch/build:$PYTHONPATH    //change $home to you home path, such as "/home/john"
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
add in ~/.bashrc
source ~/.bashrc

//测试是否安装成功
cd ~ && python -c \'from caffe2.python import core\' 2>/dev/null && echo "Success" || echo "Failure"
终端输出Success即可

source ./venv_cf_p2/bin/activate
1、安装jupyter notebook
pip install jupyter-console==5.2.0 jupyter-client==5.2.1 jupyter-core==4.4.0 jupyter==1.0.0 ipython==5.2.0 ipykernel==4.10.0
2、为jupyter添加kernel
python -m ipykernel install --user --name=venv_cf_p2
3、运行
jupyter notebook