caffe安装笔记：

1. 环境及安装前检查

硬件：

T630 CPU32核 64G内存4G硬盘

显卡：

[email protected]:~# lspci |grep -i nvidia

02:00.0 3D controller: NVIDIA Corporation GK110GL [Tesla K20Xm] (rev a1)

软件:

Ubuntu14.04 server64bit版本：ubuntu-14.04.5-server-amd64.iso

Python 2.7.12

[email protected]:~# uname -a

Linux shendu.pp100.net 4.4.0-31-generic #50~14.04.1-Ubuntu SMP Wed Jul 13 01:07:32 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux

说明：购买服务器和显卡就费了不少时间，蛋疼点是两者兼容性，不太好买，买回来后有些主板可能不兼容导致lspci|grep –i nvidia没结果，就是主板识别不了显卡。折腾了好久买好了。

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安装说明：

依赖+cudnn+
Anaconda2 +caffe

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安装过程统一用root账号，统一安装在 /root/caffe目录下。

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安装前检查：

*首先验证你是否有nvidia的显卡（http://developer.nvidia.com/cuda-gpus这个网站查看你是否有支持gpu的显卡）：
$ lspci | grep -i nvidia?

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*查看linux发行版本
uname -m && cat /etc/*release*看gcc版本
$ gcc --version?

说明：是cuda 32位尚未找到合适的安装包，所以这里的linux要64位的)

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1. 安装依赖

apt-get?install?build-essential??#?basic?requirement??

apt-get?install?libprotobuf-dev?libleveldb-dev?libsnappy-dev?libopencv-dev?libboost-all-dev?libhdf5-serial-dev?libgflags-dev?libgoogle-glog-dev?liblmdb-dev?protobuf-compiler?#required?by?caffe

apt-get install libatlas-base-dev -y

apt-get install libprotobuf-dev -y

apt-get install libleveldb-dev -y

apt-get install libsnappy-dev -y

apt-get install libopencv-dev -y

apt-get install libboost-all-dev -y

apt-get install libhdf5-serial-dev -y

apt-get install libgflags-dev -y

apt-get install libgoogle-glog-dev -y

apt-get install liblmdb-dev -y

apt-get install protobuf-compiler –y

apt-get?install?libatlas-base-dev? #安装Intel MKL 或Atlas,默认我们用显卡来运算，软件默认就是Atlas，保持不变

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1. 安装cuda7.5

*在cuda官网(https://developer.nvidia.com/cuda-downloads#linux )下载对应版本

下载并安装

dpkg -i cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb

安装cuda（安装cuda的同时就会把显卡驱动也全部安装好）

apt-get install cuda -y

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1. 安装cudnn

tar xf cudnn-7.5-linux-x64-v5.0-ga.tgz #自行下载

cd?cuda

cp lib64/* /usr/local/cuda/lib64/

cp?include/cudnn.h?/usr/local/cuda/include/?

更新软连接

cd /usr/local/cuda/lib64/
sudo chmod +r libcudnn.so.5.0.5
sudo ln -sf libcudnn.so.5.0.5 libcudnn.so.5
sudo ln -sf libcudnn.so.5 libcudnn.so
sudo ldconfig

echo ‘/usr/local/cuda/lib64‘ >> /etc/ld.so.conf.d/cuda.conf

echo ‘/root/anaconda2/lib‘ >> /etc/ld.so.conf

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统一设置环境变量

export PATH="/usr/local/cuda/bin:$PATH"

export LD_LIBRARY_PATH="/root/anaconda2/lib:$LD_LIBRARY_PATH"

export LD_LIBRARY_PATH=/usr/local/cuda-7.5/lib64:$LD_LIBRARY_PATH

export PYTHONPATH=/root/caffe/caffe-master/python

1. 安装CUDA SAMPLE

cd /usr/local/cuda/samples

make?all?–j12

cd ?/usr/local/cuda/samples/bin/x86_64/linux/release

./deviceQuery #如果出现显卡信息， 则驱动及显卡安装成功

1. 安装opencv

https://github.com/bearpaw/Install-OpenCV #下载zip包，拖进Ubuntu解压到/root/caffe

下载opencv-2.4.9.zip 到/root/caffe下 #自行网上下载

[email protected]:~/caffe# ls

caffe-master caffe-master.zip Install-OpenCV Install-OpenCV-master.zip opencv-2.4.9 opencv-2.4.9.zip

[email protected]:~/caffe# pwd

/root/caffe

#安装依赖

/root/caffe/Install-OpenCV/Ubuntu/dependencies.sh

#安装脚本修改

[email protected]:~/caffe/Install-OpenCV/Ubuntu/2.4# cat opencv2_4_9.sh

arch=$(uname -m)

if [ "$arch" == "i686" -o "$arch" == "i386" -o "$arch" == "i486" -o "$arch" == "i586" ]; then

flag=1

else

flag=0

fi

echo "Installing OpenCV 2.4.9"

mkdir OpenCV

cd OpenCV

echo "Removing any pre-installed ffmpeg and x264"

sudo apt-get -y remove ffmpeg x264 libx264-dev

echo "Installing Dependenices"

sudo apt-get -y install libopencv-dev

sudo apt-get -y install build-essential checkinstall cmake pkg-config yasm

sudo apt-get -y install libtiff4-dev libjpeg-dev libjasper-dev

sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev

sudo apt-get -y install python-dev python-numpy

sudo apt-get -y install libtbb-dev

sudo apt-get -y install libqt4-dev libgtk2.0-dev

sudo apt-get -y install libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev

sudo apt-get -y install x264 v4l-utils ffmpeg

# sudo apt-get -y install libgtk2.0-dev # duplicate

echo "Downloading OpenCV 2.4.9"

#wget -O OpenCV-2.4.9.zip http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/opencv-2.4.9.zip/download #注释掉

echo "Installing OpenCV 2.4.9"

unzip OpenCV-2.4.9.zip

cd opencv-2.4.9

mkdir build

cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_CUBLAS=OFF -D WITH_CUDA=OFF -D WITH_CUFFT=OFF .. #添加这三项

make -j12

sudo make install

sudo sh -c ‘echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf‘

sudo ldconfig

cd ../../..

rm -rf OpenCV

echo "OpenCV 2.4.9 ready to be used"

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mkdir –p /root/caffe/Install-OpenCV/Ubuntu/2.4/

cp /root/caffe/opencv-2.4.9.zip /root/caffe/Install-OpenCV/Ubuntu/2.4/OpenCV/OpenCV-2.4.9.zip

/root/caffe/Install-OpenCV/Ubuntu/2.4/opencv2_4_9.sh

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1. 安装Caffe所需要的Python环境

https://www.continuum.io/downloads#all

bash /root/Anaconda2-4.2.0-Linux-x86_64.sh #一路yes即可。

cd /root/caffe/caffe-master/python

for?req?in?$(cat?requirements.txt);?do?pip?install?$req;?done? #安装前先看看你的echo $PATH正常不。有问题重启下机器。

1. 安装caffe（操作前重启下机器，确保$PATH正常）

cd /root/caffe/caffe-master

cp?Makefile.config.example?Makefile.config

make?all?-j4??

make?test??

make?runtest??

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1. 测试验证

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sudo sh ./examples/mnist/create_mnist.sh??

生成mnist-train-leveldb/ 和 mnist-test-leveldb/文件夹，这里包含了LDB格式的数据集
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? 注:新版caffe都需要从根目录上执行，如果使用下列命令执行：
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? # cd examples/mnist??
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? # sudo sh ./create_mnist.sh??
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? 可能会遇到这个错误：./create_mnist.sh: 16: ./create_mnist.sh: build/examples/mnist/convert_mnist_data.bin: not found，全路径试试。

2，验证python

import caffe #此处不要用ipython，可以用bpython。

3，查看显卡驱动版本

查看显卡的驱动版本
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? cat /proc/driver/nvidia/version?