1. 安装相关依赖项

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler sudo apt-get install --no-install-recommends libboost-all-dev sudo apt-get install libopenblas-dev liblapack-dev libatlas-base-dev sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

2.安装CUDA

在终端下输入：

sudo gedit /etc/modprobe.d/blacklist.conf

输入密码后在最后一行加上 blacklist nouveau . 这里是将Ubuntu自带的显卡驱动加入黑名单。

在终端输入：

sudo update-initramfs -u

然后重启电脑~记住一定要重启电脑，不然后面的驱动会安装失败的。

这里要尤其注意，安装显卡驱动要先切换到文字界面，(按Ctrl+Alt+F1~F6).所以，启动电脑后，先进入字符界面。

下载cuda

https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=runfilelocal

然后，输入命令：

sudo service lightdm stop

（2）下载完成后执行以下命令（我用的是cuda7.5）：

1 sudo chmod 777 cuda_7.5.44_linux.run 2 sudo ./cuda_7.5.44_linux.run

按照提示安装，注意这里会提示是否安装nvidia驱动，记住需要选择是，因为我们之前没有安装驱动。 安装完成之后，注意需要修改bashrc文件 可以编译sample文件夹中的文件测试，运行cuda/samples/1_Utilities/deviceQuery/deviceQuery 安装成功的话会有相关的信息提示。

./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 1080" CUDA Driver Version / Runtime Version 9.2 / 9.2 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 8112 MBytes (8505524224 bytes) (20) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores GPU Max Clock rate: 1772 MHz (1.77 GHz) Memory Clock rate: 5005 Mhz Memory Bus Width: 256-bit L2 Cache Size: 2097152 bytes Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384) Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device supports Compute Preemption: Yes Supports Cooperative Kernel Launch: Yes Supports MultiDevice Co-op Kernel Launch: Yes Device PCI Domain ID / Bus ID / location ID: 0 / 75 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.2, CUDA Runtime Version = 9.2, NumDevs = 1 Result = PASS

3 安装cudnn

登录官网：https://developer.nvidia.com/rdp/cudnn-download ，下载对应 cuda 版本且 linux 系统的 cudnn 压缩包，注意官网下载 cudnn 需要注册帐号并登录

tar -xzvf cudnn-6.5-linux-R1.tgz cd cudnn-6.5-linux-R1 sudo cp lib* /usr/local/cuda/lib64/ sudo cp cudnn.h /usr/local/cuda/include/ cd /usr/local/cuda/lib64/ sudo rm -rf libcudnn.so libcudnn.so.5 #删除原有动态文件 sudo ln -s libcudnn.so.5.1.10 libcudnn.so.5 #生成软衔接（注意这里要和自己下载的cudnn版本对应，可以在/usr/local/cuda/lib64下查看自己libcudnn的版本） sudo ln -s libcudnn.so.5 libcudnn.so #生成软链接 #需要和自己的版本号对应 sudo cp /usr/local/cuda-8.0/lib64/libcudart.so.8.0 /usr/local/lib/libcudart.so.8.0 && sudo ldconfig sudo cp /usr/local/cuda-8.0/lib64/libcublas.so.8.0 /usr/local/lib/libcublas.so.8.0 && sudo ldconfig sudo cp /usr/local/cuda-8.0/lib64/libcurand.so.8.0 /usr/local/lib/libcurand.so.8.0 sudo cp /usr/local/cuda-8.0/lib64/libcudnn.so.5 /usr/local/lib/libcudnn.so.5

4 安装caffe

接下来就需要正式的安装caffe了。 首席爱呢clone下caffe的github目录来

git clone https://github.com/BVLC/caffe.git

然后修改makefile

cp Makefile.config.exemple Makefile.config #修改makefile和makefile.config 减少出错 #修改Makefile.config INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/ #修改Makefile文件 将： LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5 改为： LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial #安装 make all -j12#为你的cpu数目 make test make runtest

some question: one: libcudart.so is not found sloved: sudo ldconfig /usr/local/cuda/lib64 联系邮箱20737506@qq.com