Set up Caffe on Ubuntu14.04 64bit+NVIDIA GTX970M+CUDA7.0

Install OpenBLAS

download source code from OpenBLAS official website and extract the archive

(optional) install gfortran by

sudo apt-get install gfortran

change directory to the position of extracted folder the and compile

make FC=gfortran

install by

make PREFIX=/your/path install

add paths to envrionment:

PATH=/your/path/to/openblas/include:$PATH

and

LD_LIBRARY_PATH=/your/path/to/openblas/lib:$LD_LIBRARY_PATH

and export the pathes.

Install Anaconda

download the script from http://continuum.io/downloads

change mode

sudo chmod +x Anaconda*.sh

execute the installer by

bash Anaconda*.sh

in ~/.bashrc add

LD_LIBRARY_PATH=your_anaconda_path/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH

NEVER put it in /etc !!! Otherwise, one may in danger of unable to get into GUI.

config HDF5 version

cd /usr/lib/x86_64-linux-gnu
sudo ln -s libhdf5.so.7 libhdf5.so.10
sudo ln -s libhdf5_hl.so.7 libhdf5_hl.so.10
sudo ldconfig

Install OpenCV

One can conveniently install OpenCV by run a shell script from a Github repository

download the script. For me, I use OpenCV 2.4.10.

change mode of the shell

sudo chmod +x opencv2_4_10.sh

run the script

sudo ./opencv2_4_10.sh

. Note that one may need to modify the cmake settings, such as eliminating QT.

Install a Set of Dpendencies

Following the guideline in Caffe, we can set up the dependencies by commond

sudo 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

Compile Caffe

get Caffe from github

git clone https://github.com/BVLC/caffe.git[/code] 
edit Makefile.config to set correct paths. Firstly create Makefile.config by 
cp Makefile.config.example Makefile.config
. Then modify several paths. For me, I set blas to openblas and set blas path to /opt/OpenBLAS/include and /opt/OpenBLAS/lib where I install OpenBLAS; Python is set to Anaconda as well as its paths.

compile Caffe by 
make -j
 and 
make pycaffe


In addition, so far Caffe should be able to be compiled without any problem. However, when running exampls such as MNIST, some libs might be missing. My solution is to  add libraries to the system library cache. For example, create a file called cuda.conf in /etc/ld.so.conf.d/ and add the path  “/usr/local/cuda-7.0/lib64” to this file.