linux18.04 Anaconda虚拟环境py3.7安装caffe

先允许我哭一会，安装了五个小时，踩坑无数，安装好后赶紧记录下来！

CUDA、Cudnn、dirver、Anaconda自己装，本博客只记录caffe安装过程

1、安装依赖包

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 libopenblas-dev liblapack-dev libatlas-base-dev

sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

sudo apt-get install git cmake build-essential

2、下载caffe源码，进入 /caffe，将 Makefile.config.example 文件复制一份并更名为 Makefile.config ，也可以在 caffe 目录下直接调用以下命令完成复制操作 ：

git clone https://github.com/BVLC/caffe.git
cd caffe
sudo cp Makefile.config.example Makefile.config

3、最关键的一步，开始修改Makefile.config与Makefile内容

3.1、修改Makefile.config

USE_CUDNN := 1
OPENCV_VERSION := 3
CUDA_DIR := /usr/local/cuda
#因为我的CUDA版本>=9.0所以去掉*_20 and *_21
CUDA_ARCH :=    -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 := atlas
ANACONDA_HOME := $/root/anaconda3/envs/3d
PYTHON_INCLUDE := $(ANACONDA_HOME)/include 
                $(ANACONDA_HOME)/include/python3.7m 
                $(ANACONDA_HOME)/lib/python3.7/site-packages/numpy/core/include
#注意下面这一步很重要
PYTHON_LIBRARIES := boost_python3 python3.7m

PYTHON_LIB := $(ANACONDA_HOME)/lib
WITH_PYTHON_LAYER := 1
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
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
TEST_GPUID := 0
Q ?= @

3.2修改Makefile

#将：
NVCCFLAGS +=-ccbin=$(CXX) -Xcompiler-fPIC $(COMMON_FLAGS)
#替换为：
NVCCFLAGS += -D_FORCE_INLINES -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)
 

LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_hl hdf5
#改为：
LIBRARIES += glog gflags protobuf boost_system boost_filesystem m hdf5_serial_hl hdf5_serial

4、开始编译

按顺序执行下面的命令

make all -j16
make test -j16
make runtest -j16

5、安装pycaffe

make pycaffe -j16

6、修改~/.bashrc

sudo vim  ~/.bashrc
export PYTHonPATH={Your caffe path}/python:$PYTHonPATH
source ~/.bashrc

7、上述步骤完成后可以检查是否可以import caffe

import sys
sys.path.append('{your caffe path}/python')
import caffe

撒花！！！