1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
|
---
title: "Installation: Ubuntu"
---
# Ubuntu Installation
### 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](https://launchpad.net/ubuntu/+source/caffe)
[Package status of CUDA version](https://launchpad.net/ubuntu/+source/caffe-contrib)
**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](installation.html#compilation).
### For Ubuntu (\< 17.04)
**General dependencies**
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 libgflags-dev libgoogle-glog-dev liblmdb-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from packages, install the library and latest driver separately; the driver bundled with the library is usually out-of-date.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-dev` package to have the Python headers for building the pycaffe interface.
**Compatibility notes, 16.04**
CUDA 8 is required on Ubuntu 16.04.
**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.
Continue with [compilation](installation.html#compilation).
|
