Install Caffe on CentOS 6.5

Check all path setting and configurations to see whether they are effective before compiling.

CUDA

Add the card. 2 cables.

Download and install Nvidia driver. Test with

nvidia-smi

Dowlaod and install CUDA tool kit, consist with the versioin of driver. Test with

deviceQuery

Others

Try this first, if they are not properly installed, refer to tips below.

sudo yum install protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel

sudo yum install gflags-devel glog-devel lmdb-devel

BLAS

sudo yum install blas-devel lapack-devel atlas-devel

BOOST

sudo yum install boost

Python

Caffe need Python>=2.7. But CentOS 6.5 used Python2.6 as default for core functions, such as yum.

Install Python 2.7 on CentOS 6

Then you have both python2.6 and python2.7. You have to specify python2.7 and pip2.7 in the command.

Change Caffe

Makefile.configure

file according to the new path to python2.7.

51 PYTHON_INCLUDE := /usr/local/lib/python2.7 \
52                 /usr/local/lib/python2.7/site-packages/numpy/core/include

openCV

Caffe need openCV>2.4, which can not be installed automatically by yum in CentOS 6.5.

Using

whereis

and

locate

to find out where Python2.7 is.

After download OpenCV 2.4 source file,

export PYTHON_EXECUTABLE=/usr/local/bin/python2.7
export PYTHON_INCLUDE_PATH=${PYTHON_EXECUTABLE%/*/*}/include/python2.7
export PYTHON_LIBRARY=${PYTHON_EXECUTABLE%/*/*}/lib/libpython2.7.a
export PYTHON_NUMPY_INCLUDE_DIR=${PYTHON_EXECUTABLE%/*/*}/lib/python2.7/site-packages/numpy/core/include/numpy
export PYTHON_PACKAGES_PATH=${PYTHON_EXECUTABLE%/*/*}/lib/python2.7/site-packages

cmake -D CUDA_GENERATION=Kepler -D PYTHON_EXECUTABLE=$PYTHON_EXECUTABLE  -D PYTHON_INCLUDE_PATH=$PYTHON_INCLUDE_PATH -D PYTHON_LIBRARY=$PYTHON_LIBRARY  -D PYTHON_NUMPY_INCLUDE_DIR=$PYTHON_NUMPY_INCLUDE_DIR  -D PYTHON_PACKAGES_PATH=$PYTHON_PACKAGES_PATH -D CMAKE_BUILD_TYPE=RELEASE ..

make -j 4
sudo make install

Several pits

nvcc fatal : Unsupported gpu architecture 'compute_11'

You should specify

cmake -D CUDA_GENERATION=Kepler ..

/home/Simon/Work/dependence/opencv2.4/opencv-2.4.9/modules/gpu/src/nvidia/core/NCVPixelOperations.hpp(121): error: a storage class is not allowed in an explicit specialization

You should download a new file

NCVPixelOperations.hpp

to fix this bug.

If you find some bugs like

Python.h: No such file.

, you should check the path settings above, making sure that they are effective.

link

link

link

Caffe Compile

cmake -D CUDA_GENERATION=Kepler -D PYTHON_EXECUTABLE=$PYTHON_EXECUTABLE  -D PYTHON_INCLUDE_PATH=$PYTHON_INCLUDE_PATH -D PYTHON_LIBRARY=$PYTHON_LIBRARY  -D PYTHON_NUMPY_INCLUDE_DIR=$PYTHON_NUMPY_INCLUDE_DIR  -D PYTHON_PACKAGES_PATH=$PYTHON_PACKAGES_PATH -D CMAKE_BUILD_TYPE=RELEASE ..

make -j 4
sudo make install

Mnist Example

According to tutorial, all should be done in $CAFFE_ROOT.

I try to manually compile the .cpp file, but encounter with include and link errors, such as

file xx do not exist

or

undefined reference to xxx:xxxx

. I try to fix them by using

g++ -Ixxx/include -Lxxx/lib

, but it is too complex, and confusing. After yum install and make install all these packages, how can I suppose to know where to find those header files, library files and links?

Makefile

in $CAFFE_ROOT defined all those files needed for compilation.

Bugs log

/usr/bin/ld: cannot find -lboost_thread
collect2: ld returned 1 exit status
make: *** [.build_release/lib/libcaffe.so] Error 1

Solution

sudo ln -s /opt/maxcompiler-2014.1.1/lib/boost/lib/libboost_thread.so /usr/lib/libboost_thread.so

Or you could add atlas and boost to the link path

LD_LIBRARY_PATH

.

pycaffe

要根据实际情况（locate Python.h）修改python_include_path, 然后

Make pyCaffe

.

Model Training

1, No graceful way to exit, stop training with Ctrl-c. Need a tool for training curve plotting.

2, Saving snapshot for deploy and resuming training. But how?

Reference

Caffe