Caffe packages are available for several Debian versions, as shown in the following chart:
Your Distro | CPU_ONLY | CUDA | Codename ----------------+------------+--------+------------------- Debian/oldstable| ✘ | ✘ | Jessie (8.0) Debian/stable | ✔ | ✔ | Stretch (9.0) Debian/testing | ✔ | ✔ | Buster Debian/unstable | ✔ | ✔ | Buster
✘ You should take a look at Ubuntu installation instruction.
✔ You can install caffe with a single command line following this guide.
Last update: 2017-07-08
Apart from the installation methods based on source, Debian users can install pre-compiled Caffe packages from the official archive with APT.
Make sure that your
sections if you want to install the CUDA version, for instance:
deb http://ftp2.cn.debian.org/debian sid main contrib non-free
Then we update APT cache and directly install Caffe. Note, the cpu version and the cuda version cannot coexist.
$ sudo apt update $ sudo apt install [ caffe-cpu | caffe-cuda ] $ caffe # command line interface working $ python3 -c 'import caffe; print(caffe.__path__)' # python3 interface working
These Caffe packages should work for you out of box. However, the CUDA version may break if your NVIDIA driver and CUDA toolkit are not installed with APT.
Some users may need to customize the Caffe package. The way to customize
the package is beyond this guide. Here is only a brief guide of producing
Make sure that there is a
dec-src source in your
deb http://ftp2.cn.debian.org/debian sid main contrib non-free deb-src http://ftp2.cn.debian.org/debian sid main contrib non-free
Then we build caffe deb files with the following commands:
$ sudo apt update $ sudo apt install build-essential debhelper devscripts # standard package building tools $ sudo apt build-dep [ caffe-cpu | caffe-cuda ] # the most elegant way to pull caffe build dependencies $ apt source [ caffe-cpu | caffe-cuda ] # download the source tarball and extract $ cd caffe-XXXX [ ... optional, customizing caffe code/build ... ] $ dch --local "Modified XXX" # bump package version and write changelog $ debuild -B -j4 # build caffe with 4 parallel jobs (similar to make -j4) [ ... building ...] $ debc # optional, if you want to check the package contents $ sudo debi # optional, install the generated packages $ ls ../ # optional, you will see the resulting packages
It is a BUG if the package failed to build without any change.
The changelog will be installed at e.g.
Source installation under Debian/unstable and Debian/testing is similar to that of Ubuntu, but here is a more elegant way to pull caffe build dependencies:
$ sudo apt build-dep [ caffe-cpu | caffe-cuda ]
Note, this requires a
deb-src entry in your
Some users may find their favorate compiler doesn’t work with CUDA.
CXX compiler | CUDA 7.5 | CUDA 8.0 | CUDA 9.0 | -------------+------------+------------+------------+ GCC-8 | ? | ? | ? | GCC-7 | ? | ? | ? | GCC-6 | ✘ | ✘ | ✔ | GCC-5 | ✔  | ✔ | ✔ | -------------+------------+------------+------------+ CLANG-4.0 | ? | ? | ? | CLANG-3.9 | ✘ | ✘ | ✔ | CLANG-3.8 | ? | ✔ | ✔ |
 CUDA 7.5 ‘s
host_config.h must be patched before working with GCC-5.
 CUDA 9.0: https://devblogs.nvidia.com/parallelforall/cuda-9-features-revealed/
BTW, please forget the GCC-4.X series, since its
libstdc++ ABI is not compatible with GCC-5’s.
You may encounter failure linking GCC-4.X object files against GCC-5 libraries.
(See https://wiki.debian.org/GCC5 )
Consider re-compiling OpenBLAS locally with optimization flags for sake of performance. This is highly recommended for any kind of production use, including academic research.
If you are installing
caffe-cuda, APT will automatically pull some of the
CUDA packages and the nvidia driver packages. Please be careful if you have
manually installed or hacked nvidia driver or CUDA toolkit or any other
related stuff, because in this case APT may fail.
Additionally, a manpage (
man caffe) and a bash complementation script
caffe train <TAB><TAB>) are provided.
Both of the two files are still not merged into caffe master.
The python interface is Python 3 version:
No plan to support python2.
If you encountered any problem related to the packaging system (e.g. failed to install
please report bug to Debian via Debian’s bug tracking system. See https://www.debian.org/Bugs/ .
Patches and suggestions are also welcome.
CUDNN library seems not redistributable currently. If you really want the caffe-cudnn deb packages, the workaround is to install cudnn by yourself, and hack the packaging scripts, then build your customized package.
sudo apt install caffe-cuda, apt’s dependency resolver is smart enough to deal with this.
$ sudo apt install caffe-doc $ dpkg -L caffe-doc