[----------] 8 tests from RMSPropSolverTest/2, where TypeParam = caffe::GPUDevice<float>
[ RUN ] RMSPropSolverTest/2.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] RMSPropSolverTest/2.TestLeastSquaresUpdateWithEverythingAccumShare (17 ms)
[ RUN ] RMSPropSolverTest/2.TestRMSPropLeastSquaresUpdateWithWeightDecay
*** Aborted at 1444395299 (unix time) try "date -d @1444395299" if you are using GNU date ***
PC: @ 0x7f704697bb47 __memmove_ssse3_back
make: *** [runtest] Segmentation fault (core dumped)
[----------] 8 tests from RMSPropSolverTest/2, where TypeParam = caffe::GPUDevice<float>
[ RUN ] RMSPropSolverTest/2.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] RMSPropSolverTest/2.TestLeastSquaresUpdateWithEverythingAccumShare (17 ms)
[ RUN ] RMSPropSolverTest/2.TestRMSPropLeastSquaresUpdateWithWeightDecay
*** Aborted at 1444395299 (unix time) try "date -d @1444395299" if you are using GNU date ***
PC: @ 0x7f704697bb47 __memmove_ssse3_back
make: *** [runtest] Segmentation fault (core dumped)
[----------] 8 tests from RMSPropSolverTest/2, where TypeParam = caffe::GPUDevice<float>
[ RUN ] RMSPropSolverTest/2.TestLeastSquaresUpdateWithEverythingAccumShare
[ OK ] RMSPropSolverTest/2.TestLeastSquaresUpdateWithEverythingAccumShare (17 ms)
[ RUN ] RMSPropSolverTest/2.TestRMSPropLeastSquaresUpdateWithWeightDecay
*** Aborted at 1444395299 (unix time) try "date -d @1444395299" if you are using GNU date ***
PC: @ 0x7f704697bb47 __memmove_ssse3_back
make: *** [runtest] Segmentation fault (core dumped)
# 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# uncomment to disable IO dependencies and corresponding data layers# USE_LEVELDB := 0# USE_LMDB := 0# USE_OPENCV := 0# 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-7.0# 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 OpenBlasBLAS := 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/blasBLAS_INCLUDE := /usr/lib64BLAS_LIB := /usr/lib64# 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/includeLIBRARY_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 := 1BUILD_DIR := buildDISTRIBUTE_DIR := distribute# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171DEBUG := 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 ?= @
...