cpu_ONLY

参考官方安装教程

配置文件

## 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 := 0
# USE_LEVELDB := 0
# USE_LMDB := 0
 
# 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 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/yzbx/linux/miniconda2/envs/env2
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
# $(ANACONDA_HOME)/include/python2.7 \
# $(ANACONDA_HOME)/lib/python2.7/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 $(ANACONDA_HOME)/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 /home/yzbx/linux/Qt5.6.0/5.6/gcc_64/include/QtGui /home/yzbx/linux/Qt5.6.0/5.6/gcc_64/include /home/yzbx/linux/Qt5.6.0/5.6/gcc_64/include/QtCore /home/yzbx/linux/Qt5.6.0/5.6/gcc_64/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial /home/yzbx/linux/Qt5.6.0/5.6/gcc_64/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
 
# 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 ?= @

编译安装步骤

• 参考命令步骤

#安装依赖
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler sudo apt-get install --no-install-recommends libboost-all-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
 
#下载ｃａｆｆｅ
git clone https://github.com/BVLC/caffe
cd /path/to/caffe/folder
 
#修改配置文件后
ｍａｋｅ　ａｌｌ　-ｊ　$(($(nproc) + 1))
ｍａｋｅ　ｔｅｓｔ　-ｊ　$(($(nproc) + 1))
ｍａｋｅ　ｒｕｎｔｅｓｔ　-ｊ　$(($(nproc) + 1))
 
#安装ｐｙｃａｆｆｅ
sudo apt-get install cython
sudo apt-get install python-skimage
sudo apt-get install python-pip
sudo pip install protobuf
 
make pycaffe
 
#设置ｐｙｃａｆｆｅ
export PYTHONPATH=/path/to/caffe/python:$PYTHONPATH

问题及解决

• libstdc++.so.6: version `GLIBCXX_3.4.21’ not found

conda install libgcc

• Error loading shared library libhdf5_hl.so

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

　GPU

　参考教程