1. 启动脚本，用来安装显卡驱动
#add gpu
Ubuntu 16.04 LTS or 17.04 - CUDA 8:
#!/bin/bash
echo "Checking for CUDA and installing."
# Check for CUDA and try to install.
if ! dpkg-query -W cuda-8-0; then
# The 16.04 installer works with 16.10.
curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
apt-get update
apt-get install cuda-8-0 -y
fi
sudo apt-get update
2. 安装anaconda包 配置jupyter
mkdir downloads
cd downloads
wget http://repo.continuum.io/archive/Anaconda2-5.0.0.1-Linux-x86_64.sh
bash Anaconda2-5.0.0.1-Linux-x86_64.sh
source ~/.bashrc
jupyter notebook --generate-config
cd ..
sudo vim .jupyter/jupyter_notebook_config.py
将下面四行添加到该文件中
c = get_config()
c.NotebookApp.ip = '*'
c.NotebookApp.open_browser = False
c.NotebookApp.port = 8888
jupyter notebook password
端口与vpc网络->防火墙规则 中自己设置的tcp或者udp端口一致
jupyter-notebook --no-browser --port=8888
安装anaconda后需要重新安装google-compute-engine
sudo pip uninstall google-compute-engine
sudo pip install google-compute-engine
授权google账户
gcloud auth login
安装cudnn6 注意：亲测不能使用6以下版本for tensorflow1.3
现在本地下载好，上传到google storage cloud
然后下载到compute engine
sudo apt-get install openjdk-8-jdk git python-dev python-numpy python-six build-essential python-pip python-virtualenv swig python-wheel libcurl3-dev libcupti-dev
tar -xzvf cudnn-8.0-linux-x64-v6.0.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*
sudo vim ~/.bashrc
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
echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
sudo apt-get update
sudo apt-get install bazel
sudo apt-get upgrade bazel
git clone https://github.com/tensorflow/tensorflow
cd ~/tensorflow
./configure
bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg