caffe中Makefile.config详解

## 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 "CuDNN是NVIDIA专门针对Deep Learning框架设计的一套GPU计算加速库,用于实现高性能的并行计算,在有GPU并且安装CuDNN的情况下可以打开即将注释去掉。"   # CPU-only switch (uncomment to build without GPU support). #CPU_ONLY := 1 "表示是否用GPU,如果只有CPU这里要打开"   # uncomment to disable IO dependencies and corresponding data layers USE_OPENCV := 1 "因为要用到OpenCV库所以要打开,下面这两个选项表示是选择Caffe的数据管理第三方库,两者都不打开 Caffe默认用的是LMDB,这两者均是嵌入式数据库管理系统编程库。" # 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 "当需要读取LMDB文件时可以取消注释,默认不打开。"   # Uncomment if you're using OpenCV 3 OPENCV_VERSION := 2.4.10 "用pkg-config --modversion opencv命令查看opencv版本"   # 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++ "linux系统默认使用g++编译器,OSX则是clang++。"   # CUDA directory contains bin/ and lib/ directories that we need. CUDA_DIR := /usr/local/cuda "CUDA的安装目录" # 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 "这些参数需要根据GPU的计算能力来进行设置,6.0以下的版本不支持×_50的计算能力。"   # BLAS choice: # atlas for ATLAS (default) # mkl for MKL # open for OpenBlas BLAS := open "如果用的是ATLAS计算库则赋值atlas,MKL计算库则用mkl赋值,OpenBlas则赋值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 := /usr/local/OpenBlas/include BLAS_LIB := /usr/local/OpenBlas/lib "blas库安装目录"   # 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 "如果不是安装在标准路径则要指明"   # 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 "matlab安装库的目录"   # 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 "python安装目录" # 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    # 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库位置 # 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   # 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 "所用的GPU的ID编号"   # enable pretty build (comment to see full commands) Q ?= @ 

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