For Ubuntu (>= 17.04)
Installing pre-compiled Caffe
Everything including caffe itself is packaged in 17.04 and higher versions. To install pre-compiled Caffe package, just do it by
sudo apt install caffe-cpu
for CPU-only version, or
sudo apt install caffe-cuda
for CUDA version. Note, the cuda version may break if your NVIDIA driver and CUDA toolkit are not installed by APT.
Package status of CPU-only version
Package status of CUDA version
Installing Caffe from source
We may install the dependencies by merely one line
sudo apt build-dep caffe-cpu # dependencies for CPU-only version sudo apt build-dep caffe-cuda # dependencies for CUDA version
It requires a
deb-src line in your
sources.list. Continue with compilation.
For Ubuntu (< 17.04)
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
CUDA: Install by
apt-get or the NVIDIA
.run package. The NVIDIA package tends to follow more recent library and driver versions, but the installation is more manual. If installing from packages, install the library and latest driver separately; the driver bundled with the library is usually out-of-date. This can be skipped for CPU-only installation.
BLAS: install ATLAS by
sudo apt-get install libatlas-base-dev or install OpenBLAS by
sudo apt-get install libopenblas-dev or MKL for better CPU performance.
Python (optional): if you use the default Python you will need to
sudo apt-get install the
python-devpackage to have the Python headers for building the pycaffe interface.
Compatibility notes, 16.04
CUDA 8 is required on Ubuntu 16.04.
Remaining dependencies, 14.04
Everything is packaged in 14.04.
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
Remaining dependencies, 12.04
These dependencies need manual installation in 12.04.
# glog wget https://github.com/google/glog/archive/v0.3.3.tar.gz tar zxvf v0.3.3.tar.gz cd glog-0.3.3 ./configure make && make install # gflags wget https://github.com/schuhschuh/gflags/archive/master.zip unzip master.zip cd gflags-master mkdir build && cd build export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1 make && make install # lmdb git clone https://github.com/LMDB/lmdb cd lmdb/libraries/liblmdb make && make install
Note that glog does not compile with the most recent gflags version (2.1), so before that is resolved you will need to build with glog first.