error: when build tools/cafe.bin

[ujiyasuh]

Would you like to tell me how to solute?

I get following errors while trying to build on Ubuntu 14.04:

~/caffe-0.9999$ make all
g++ .build_release/tools/caffe.o .build_release/lib/libcaffe.a -o .build_release/tools/caffe.bin -fPIC -DCPU_ONLY -DNDEBUG -O2 -I/usr/include/python2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/include -I.build_release/src -I./src -I./include -Wall -Wno-sign-compare -L/usr/lib -L/usr/local/lib -L/usr/lib -lglog -lgflags -lpthread -lprotobuf -lleveldb -lsnappy -llmdb -lboost_system -lhdf5_hl -lhdf5 -lopencv_core -lopencv_highgui -lopencv_imgproc
/usr/bin/ld: .build_release/lib/libcaffe.a(common.o): symbol '_ZN6google21ParseCommandLineFlagsEPiPPPcb' への未定義参照です (reffer to no difinition)
//usr/lib/x86_64-linux-gnu/libgflags.so.2: error adding symbols: DSO missing from command line
collect2: error: ld returned 1 exit status
make: *** [.build_release/tools/caffe.bin] error 1

My Makefile.config setting likes this:

Refer to http://caffe.berkeleyvision.org/installation.html

Contributions simplifying and improving our build system are welcome!

CPU-only switch (uncomment to build without GPU support).

CPU_ONLY := 1

To customize your choice of compiler, uncomment and set the following.

N.B. the default for Linux is g++ and the default for OSX is clang++

CUSTOM_CXX := g++

CUDA directory contains bin/ and lib/ directories that we need.

CUDA_DIR := /usr/local/cuda

On Ubuntu 14.04, if cuda tools are installed via

"sudo apt-get install nvidia-cuda-toolkit" then use this instead:

CUDA_DIR := /usr

CUDA architecture setting: going with all of them (up to CUDA 5.5 compatible).

For the latest architecture, you need to install CUDA >= 6.0 and uncomment

the *_50 lines below.

CUDA_ARCH := -gencode arch=compute_20,code=sm_20
-gencode arch=compute_20,code=sm_21
-gencode arch=compute_30,code=sm_30
-gencode arch=compute_35,code=sm_35
#-gencode arch=compute_50,code=sm_50
#-gencode arch=compute_50,code=compute_50

BLAS choice:

atlas for ATLAS (default)

mkl for MKL

open for OpenBlas

BLAS := atlas /* original */

BLAS := open

Custom (MKL/ATLAS/OpenBLAS) include and lib directories.

Leave commented to accept the defaults for your choice of BLAS

(which should work)!

BLAS_INCLUDE := /path/to/your/blas

BLAS_LIB := /path/to/your/blas

This is required only if you will compile the matlab interface.

MATLAB directory should contain the mex binary in /bin.

MATLAB_DIR := /usr/local

MATLAB_DIR := /Applications/MATLAB_R2012b.app

NOTE: this is required only if you will compile the python interface.

We need to be able to find Python.h and numpy/arrayobject.h.

PYTHON_INCLUDE := /usr/include/python2.7
/usr/lib/python2.7/dist-packages/numpy/core/include

Anaconda Python distribution is quite popular. Include path:

PYTHON_INCLUDE := $(HOME)/anaconda/include \

    # $(HOME)/anaconda/include/python2.7 \
    # $(HOME)/anaconda/lib/python2.7/site-packages/numpy/core/include

We need to be able to find libpythonX.X.so or .dylib.

PYTHON_LIB := /usr/lib

PYTHON_LIB := $(HOME)/anaconda/lib

Whatever else you find you need goes here.

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

Uncomment for debugging. Does not work on OSX due to #171

DEBUG := 1

The ID of the GPU that 'make runtest' will use to run unit tests.

TEST_GPUID := 0

[erictzeng]

Please ask usage questions on caffe-users -- the issues tracker is primarily for Caffe development discussion.