环境: Ubuntu 12.04, cuda-convnet2, CUDA 6
安装步骤：
1. 预安装需求库
sudo apt-get install python-dev python-numpy python-scipy python-magic python-matplotlib libatlas-base-dev libjpeg-dev libopencv-dev git
2. 安装CUDA 6.0
从http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1204/x86_64/cuda-repo-ubuntu1204_6.5-14_amd64.deb下载 cuda-repo-ubuntu1204_6.5-14_amd64.deb
$wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1204/x86_64/cuda-repo-ubuntu1204_6.5-14_amd64.deb
$ sudo dpkg -i cuda-repo-ubuntu1204_6.0-37_amd64.deb
$ sudo apt-get update
$ sudo apt-get install cuda
3. 配置CUDA环境变量
vi ~/.bashrc
export CUDA_HOME=/usr/local/cuda-6.0
export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
PATH=${CUDA_HOME}/bin:${PATH}
export PATH
4. 下载cuda-convnet2源码
git clone https://code.google.com/p/cuda-convnet2/
5. 编译源码
jerry@hq:/u01/cuda-convnet2$ sh build.sh
mkdir -p ./bin//src
g++ -O3 -c -fPIC -DNUMPY_INTERFACE -I./include -I/usr/include/python2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ src/matrix.cpp -o ./bin//src/matrix.o
In file included from /usr/include/python2.7/Python.h:8:0,
from src/../include/matrix.h:22,
from src/matrix.cpp:17:
/usr/include/python2.7/pyconfig.h:1161:0: warning: “_POSIX_C_SOURCE” redefined [enabled by default]
#define _POSIX_C_SOURCE 200112L
^
In file included from /usr/include/stdlib.h:25:0,
from src/../include/matrix_funcs.h:20,
from src/../include/matrix.h:20,
from src/matrix.cpp:17:
/usr/include/features.h:164:0: note: this is the location of the previous definition
# define _POSIX_C_SOURCE 200809L
^
In file included from /usr/include/python2.7/Python.h:8:0,
from src/../include/matrix.h:22,
from src/matrix.cpp:17:
/usr/include/python2.7/pyconfig.h:1183:0: warning: “_XOPEN_SOURCE” redefined [enabled by default]
#define _XOPEN_SOURCE 600
^
In file included from /usr/include/stdlib.h:25:0,
from src/../include/matrix_funcs.h:20,
from src/../include/matrix.h:20,
from src/matrix.cpp:17:
/usr/include/features.h:166:0: note: this is the location of the previous definition
# define _XOPEN_SOURCE 700
^
cd ./bin/ && g++ -O3 -DNUMPY_INTERFACE -shared -Wl,-no-undefined -o libutilpy.so src/matrix.o -L/usr/lib/atlas-base -latlas -lcblas -lpython2.7
ln -sf ./bin//libutilpy.so .
mkdir -p ./bin/release
mkdir -p ./obj/release/src
mkdir -p ./bin/release
mkdir -p ./obj/release/src
mkdir -p ./bin/release
mkdir -p ./obj/release/src
mkdir -p ./bin//src
g++ -O3 -c -fPIC -I./include -I/usr/include/python2.7 src/pyext.cpp -o ./bin//src/pyext.o
In file included from /usr/include/python2.7/Python.h:8:0,
from src/../include/pyext.h:23,
from src/pyext.cpp:17:
/usr/include/python2.7/pyconfig.h:1161:0: warning: “_POSIX_C_SOURCE” redefined [enabled by default]
#define _POSIX_C_SOURCE 200112L
^
In file included from /usr/include/stdio.h:28:0,
from src/../include/pyext.h:20,
from src/pyext.cpp:17:
/usr/include/features.h:164:0: note: this is the location of the previous definition
# define _POSIX_C_SOURCE 200809L
^
In file included from /usr/include/python2.7/Python.h:8:0,
from src/../include/pyext.h:23,
from src/pyext.cpp:17:
/usr/include/python2.7/pyconfig.h:1183:0: warning: “_XOPEN_SOURCE” redefined [enabled by default]
#define _XOPEN_SOURCE 600
^
In file included from /usr/include/stdio.h:28:0,
from src/../include/pyext.h:20,
from src/pyext.cpp:17:
/usr/include/features.h:166:0: note: this is the location of the previous definition
# define _XOPEN_SOURCE 700
^
cd ./bin/ && g++ -O3 -shared -Wl,-no-undefined -o _MakeDataPyExt.so src/pyext.o -L/usr/local/cuda/lib64 `pkg-config –libs python` `pkg-config –libs opencv` -lpthread
ln -sf ./bin//_MakeDataPyExt.so .
6. 运行脚本
jerry@hq:/u01/cuda-convnet2$ python convnet.py –data-path=/u01/lisa/data/cifar10/cifar-10-batches-py –save-path=/u01/jerry/tmp –test-range=5 –train-range=1-4 –layer-def=./layers/layers-cifar10-11pct.cfg –layer-params=./layers/layer-params-cifar10-11pct.cfg –data-provider=cifar-cropped –test-freq=13 –epochs=100
Option –gpu (GPU override) not supplied
convnet.py usage:
Option Description Default
[–check-grads <0/1> ] – Check gradients and quit? [0]
[–color-noise <float> ] – Add PCA noise to color channels with given scale [0]
[–conserve-mem <0/1> ] – Conserve GPU memory (slower)? [0]
[–conv-to-local <string,…> ] – Convert given conv layers to unshared local []
[–epochs <int> ] – Number of epochs [50000]
[–feature-path <string> ] – Write test data features to this path (to be used with –write-features) []
[–force-save <0/1> ] – Force save before quitting [0]
[–inner-size <int> ] – Cropped DP: crop size (0 = don’t crop) [0]
[–layer-path <string> ] – Layer file path prefix []
[–load-file <string> ] – Load file []
[–logreg-name <string> ] – Logreg cost layer name (for –test-out) []
[–mini <int> ] – Minibatch size [128]
[–multiview-test <0/1> ] – Cropped DP: test on multiple patches? [0]
[–scalar-mean <float> ] – Subtract this scalar from image (-1 = don’t) [-1]
[–test-freq <int> ] – Testing frequency [57]
[–test-one <0/1> ] – Test on one batch at a time? [1]
[–test-only <0/1> ] – Test and quit? [0]
[–test-out <string> ] – Output test case predictions to given path []
[–unshare-weights <string,…>] – Unshare weight matrices in given layers []
[–write-features <string> ] – Write test data features from given layer []
–data-path <string> – Data path
–data-provider <string> – Data provider
–gpu <int,…> – GPU override
–layer-def <string> – Layer definition file
–layer-params <string> – Layer parameter file
–save-file <string> – Save file override
–save-path <string> – Save path
–test-range <int[-int]> – Data batch range: testing
–train-range <int[-int]> – Data batch range: training
由于ubuntu是在windows里的虚拟机，无法使用本机或外置的gpu显卡， 故无法运行程序。 有点遗憾