## 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專門針對Deep Learning框架設計的一套GPU計算加速庫，用于實現高性能的并行計算,在有GPU并且安裝CuDNN的情況下可以打開即將注釋去掉。"?

?

?

# CPU-only switch (uncomment to build without GPU support).?

#CPU_ONLY := 1?

"表示是否用GPU,如果只有CPU這里要打開"?

?

?

# uncomment to disable IO dependencies and corresponding data layers?

USE_OPENCV := 1?

"因為要用到OpenCV庫所以要打開，下面這兩個選項表示是選擇Caffe的數據管理第三方庫，兩者都不打開 Caffe默認用的是LMDB，這兩者均是嵌入式數據庫管理系統編程庫。"?

# 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?

"當需要讀取LMDB文件時可以取消注釋，默認不打開。"?

?

?

# 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系統默認使用g++編譯器，OSX則是clang++。"?

?

?

# CUDA directory contains bin/ and lib/ directories that we need.?

CUDA_DIR := /usr/local/cuda?

"CUDA的安裝目錄"?

# 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?

"這些參數需要根據GPU的計算能力來進行設置，6.0以下的版本不支持×_50的計算能力。"?

?

?

# BLAS choice:?

# atlas for ATLAS (default)?

# mkl for MKL?

# open for OpenBlas?

BLAS := open?

"如果用的是ATLAS計算庫則賦值atlas，MKL計算庫則用mkl賦值，OpenBlas則賦值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庫安裝目錄"?

?

?

# 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?

"如果不是安裝在標準路徑則要指明"?

?

?

# 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安裝庫的目錄"?

?

?

# 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安裝目錄"?

# 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?

<font color="green">python庫位置</font>?

# 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編號"?

?

?

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

Q ?= @

?

轉載于:https://www.cnblogs.com/jxhd1/p/8465089.html

總結

以上是生活随笔為你收集整理的caffe中Makefile.config详解的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。