编译caffe问题急

18.04、16.04、14.04
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ubun_lover
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系统: ubuntu16.04LTS
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编译caffe问题急

#1

帖子 ubun_lover » 2017-05-18 8:07

ubuntu16源码编译caffe,下面是我的makefile.config
## 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

# uncomment to disable IO dependencies and corresponding data layers
USE_OPENCV := 1
USE_LEVELDB := 1
USE_LMDB := 1

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
# You should not set this flag if you will be reading LMDBs with any
# possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3
OPENCV_VERSION := 3

# 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 through *_61 lines for compatibility.
# For CUDA < 8.0, comment the *_60 and *_61 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_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61

# 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 := /home/liangjinrui/matlab2016b
# 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/python3.5m \
$(ANACONDA_HOME)/lib/python3.5/site-packages/numpy/core/include

# Uncomment to use Python 3 (default is Python 2)
# PYTHON_LIBRARIES := boost_python3 python3.5m
# PYTHON_INCLUDE := /usr/include/python3.5m \
# /usr/lib/python3.5/dist-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 /usr/include/hdf5/serial
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial

# 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

# NCCL acceleration switch (uncomment to build with NCCL)
# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
# USE_NCCL := 1

# 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

# N.B. both build and distribute dirs are cleared on `make clean`
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 ?= @





执行sudo make all没问题,但执行sudo make runtest后出现问题:

CXX src/caffe/test/test_multinomial_logistic_loss_layer.cpp
CXX src/caffe/test/test_deconvolution_layer.cpp
CXX src/caffe/test/test_concat_layer.cpp
CXX src/caffe/test/test_argmax_layer.cpp
CXX src/caffe/test/test_gradient_based_solver.cpp
CXX src/caffe/test/test_net.cpp
CXX src/caffe/test/test_contrastive_loss_layer.cpp
CXX src/caffe/test/test_dummy_data_layer.cpp
CXX src/caffe/test/test_spp_layer.cpp
CXX src/caffe/test/test_slice_layer.cpp
CXX src/caffe/test/test_power_layer.cpp
CXX src/caffe/test/test_embed_layer.cpp
CXX src/caffe/test/test_hinge_loss_layer.cpp
CXX src/caffe/test/test_image_data_layer.cpp
CXX src/caffe/test/test_eltwise_layer.cpp
CXX src/caffe/test/test_stochastic_pooling.cpp
CXX src/caffe/test/test_sigmoid_cross_entropy_loss_layer.cpp
CXX src/caffe/test/test_tile_layer.cpp
CXX src/caffe/test/test_threshold_layer.cpp
CXX src/caffe/test/test_neuron_layer.cpp
CXX src/caffe/test/test_euclidean_loss_layer.cpp
CXX src/caffe/test/test_reshape_layer.cpp
CXX src/caffe/test/test_lrn_layer.cpp
CXX src/caffe/test/test_split_layer.cpp
CXX src/caffe/test/test_softmax_layer.cpp
CXX src/caffe/test/test_solver.cpp
CXX src/caffe/test/test_filter_layer.cpp
CXX src/caffe/test/test_filler.cpp
CXX src/caffe/test/test_im2col_layer.cpp
CXX src/caffe/test/test_flatten_layer.cpp
CXX src/caffe/test/test_common.cpp
CXX src/caffe/test/test_crop_layer.cpp
CXX src/caffe/test/test_scale_layer.cpp
CXX src/caffe/test/test_tanh_layer.cpp
CXX src/caffe/test/test_rnn_layer.cpp
CXX src/caffe/test/test_blob.cpp
CXX src/caffe/test/test_infogain_loss_layer.cpp
CXX src/caffe/test/test_batch_norm_layer.cpp
CXX src/caffe/test/test_io.cpp
CXX src/caffe/test/test_data_transformer.cpp
CXX src/caffe/test/test_reduction_layer.cpp
CXX src/caffe/test/test_convolution_layer.cpp
CXX src/caffe/test/test_protobuf.cpp
CXX src/caffe/test/test_layer_factory.cpp
CXX src/caffe/test/test_softmax_with_loss_layer.cpp
CXX src/caffe/test/test_data_layer.cpp
CXX src/caffe/test/test_util_blas.cpp
CXX src/caffe/test/test_bias_layer.cpp
CXX src/caffe/test/test_solver_factory.cpp
CXX src/caffe/test/test_accuracy_layer.cpp
CXX src/caffe/test/test_hdf5_output_layer.cpp
CXX src/caffe/test/test_inner_product_layer.cpp
CXX src/caffe/test/test_lstm_layer.cpp
CXX src/caffe/test/test_random_number_generator.cpp
CXX src/caffe/test/test_benchmark.cpp
CXX src/caffe/test/test_upgrade_proto.cpp
CXX src/caffe/test/test_platform.cpp
CXX src/caffe/test/test_math_functions.cpp
CXX src/caffe/test/test_internal_thread.cpp
CXX src/caffe/test/test_pooling_layer.cpp
CXX src/caffe/test/test_batch_reindex_layer.cpp
CXX src/caffe/test/test_maxpool_dropout_layers.cpp
CXX src/caffe/test/test_mvn_layer.cpp
CXX src/caffe/test/test_syncedmem.cpp
CXX src/caffe/test/test_memory_data_layer.cpp
CXX src/caffe/test/test_db.cpp
CXX src/caffe/test/test_hdf5data_layer.cpp
NVCC src/caffe/test/test_im2col_kernel.cu
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
CXX src/gtest/gtest-all.cpp
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
CXX/LD -o .build_release/test/test_all.testbin src/caffe/test/test_caffe_main.cpp
.build_release/src/caffe/test/test_benchmark.o:在函数‘void boost::this_thread::sleep<boost::date_time::subsecond_duration<boost::posix_time::time_duration, 1000l> >(boost::date_time::subsecond_duration<boost::posix_time::time_duration, 1000l> const&)’中:
test_benchmark.cpp:(.text._ZN5boost11this_thread5sleepINS_9date_time18subsecond_durationINS_10posix_time13time_durationELl1000EEEEEvRKT_[_ZN5boost11this_thread5sleepINS_9date_time18subsecond_durationINS_10posix_time13time_durationELl1000EEEEEvRKT_]+0x262):对‘boost::this_thread::hiden::sleep_until(timespec const&)’未定义的引用
collect2: error: ld returned 1 exit status
Makefile:603: recipe for target '.build_release/test/test_all.testbin' failed
make: *** [.build_release/test/test_all.testbin] Error 1


求大神,真的很急 :Cry
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