配置unbuntu aws gpu环境

安装所需环境

sudo apt-get update
sudo apt-get -y dist-upgrade  
sudo apt-get install -y gcc g++ gfortran build-essential git wget linux-image-generic libopenblas-dev

安装cuda

sudo wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.0-28_amd64.deb  
sudo dpkg -i cuda-repo-ubuntu1404_7.0-28_amd64.deb  
sudo apt-get update
sudo apt-get install -y cuda  
echo -e "\nexport PATH=/usr/local/cuda/bin:$PATH\n\nexport LD_LIBRARY_PATH=/usr/local/cuda/lib64" >> .bashrc  
sudo reboot 
cuda-install-samples-7.0.sh ~/
cd NVIDIA\_CUDA-7.0\_Samples/1\_Utilities/deviceQuery  
make  ./deviceQuery

echo -e "\n[global]\nfloatX=float32\ndevice=gpu\n[mode]=FAST_RUN\n\n[nvcc]\nfastmath=True\n\n[cuda]\nroot=/usr/local/cuda" >> ~/.theanorc 

安装python

wget http://repo.continuum.io/archive/Anaconda3-4.0.0-Linux-x86_64.sh
bash  http://repo.continuum.io/archive/Anaconda3-4.0.0-Linux-x86_64.sh
pip install keras

安装cudnn
从这里下所需安装程序。

tar xvzf cudnn-7.0-linux-x64-v4.0-prod.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda-7.5/include
sudo cp  cuda/lib64/libcudnn* /usr/local/cuda-7.5/lib64
sudo chmod a+r /usr/local/cuda-7.5/include/cudnn.h /usr/local/cuda-7.5/lib64/libcudnn*

在.bashrc加入：

export CPATH=/usr/local/cuda-7.5/include:$CPATH
export LIBRARY_PATH=/usr/local/cuda-7.5:$LIBRARY_PATH

在~/.theanorc加入：

[nvcc]
optimizer_including=cudnn

测试：

python3.5 -c 'from theano.sandbox.cuda.dnn import version; print(version())'