1. 在无独显的情况下，安装ubuntu14
2.插上gtx1080, 开机进入BIOS，设置显卡模式为(iGPU)
3.开机，显示器接入集显的插口
4.安装driver
可以直接安装cuda.deb的安装包，cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb(不可行)
应该安装cuda8
CUDA Toolkit 8 RC Now Available
New in CUDA 8
Pascal Architecture Support
· Out of box performance improvements on Tesla P100, supports GeForce GTX 1080
· Simplify programming using Unified memory on Pascal including support for large datasets, concurrent data access and atomics*
· Optimize Unified Memory performance using new data migration APIs*
· Faster Deep Learning using optimized cuBLAS routines for native FP16 computation
sudo dpkg -i cuda-repo-ubuntu1404-8-0-rc_8.0.27-1_amd64.deb
sudo apt-get ipdate
sudo apt-get install cuda
运行nvidia-smi 出现“nvidia-3xx drivers”找不到
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get install nvidia-367
sudo apt-get install mesa-common-dev
sudo apt-get install freeglut3-dev
sduo vi /etc/profile 添加
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
5.重启，显示器接到独显
6. cudnn
解压cudnn-8.0-linux-x64-v5.1.tgz
cd lib64/
sudo cp lib* /usr/local/cuda/lib64/
cd ../include/
sudo cp cudnn.h /usr/local/cuda/include/
cd /usr/local/cuda/lib64/
sudo rm -r libcudnn.so libcudnn.so.5
sudo ln -sf libcudnn.so.5 libcudnn.so
sudo ln -sf libcudnn.so.5.1.5 libcudnn.so.5
sudo ldconfig
7.caffe安装
http://caffe.berkeleyvision.org/installation.html
