Trying to build Caffe, get Segfault

[Ayior Alexis]

Hello!

I'm running Ubuntu Trusty and have faught my way through the dependencies so far (Found the Ubuntu-Specific page two days late) and now I can't build Caffe. I can but don't have to run cmake - either way, running 'make' or 'make all' gives me a segfault, running 'sudo make' or 'sudo make all' gives me nothing at all. I tried several command line debugging things, but the segfault appears right at the beginning. Only --debug returns this:

Reading makefiles...
Reading makefile `Makefile'...
Reading makefile `Makefile.config' (search path) (no ~ expansion)...
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 1 unreaped children.
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 1 unreaped children.
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 1 unreaped children.
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 1 unreaped children.
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 2 unreaped children.
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 2 unreaped children.
Child access: user 1000 (real 1000), group 1000 (real 1000)
Got a SIGCHLD; 2 unreaped children.
Speicherzugriffsfehler (Speicherabzug geschrieben)

(Speicherzugriffsfehler translates to Segfault)

Can you help me?

[xksteven]

Could you post what your Makefile.config?  I'm guessing that's the only file you edited?

[Ayior Alexis]

It looks like this, did I oversee anything?

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1

# 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.
# For CUDA < 6.0, comment the *_50 lines for compatibility.
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
# 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

# Homebrew puts openblas in a directory that is not on the standard search path
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
# BLAS_LIB := $(shell brew --prefix openblas)/lib

# 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:
# Verify anaconda location, sometimes it's in root.
# ANACONDA_HOME := $(HOME)/anaconda
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
        # $(ANACONDA_HOME)/include/python2.7 \
        # $(ANACONDA_HOME)/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 := $(ANACONDA_HOME)/lib

# Homebrew installs numpy in a non standard path (keg only)
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
# PYTHON_LIB += $(shell brew --prefix numpy)/lib

# Uncomment to support layers written in Python (will link against Python libs)
# WITH_PYTHON_LAYER := 1

# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
# INCLUDE_DIRS += $(shell brew --prefix)/include
# LIBRARY_DIRS += $(shell brew --prefix)/lib

# Uncomment to use `pkg-config` to specify OpenCV library paths.
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0

# enable pretty build (comment to see full commands)
Q ?= @

[Ayior Alexis]

So now I also checked if it is a hardware problem but also couldn't find anything. I remember that this machine could have slightly damaged hardware, but it's the only one I have and the only one I will have access to for quite some time so I would be really glad if there was another answer to this....