Ubuntu16:cmake生成Makefile编译caffe过程(OpenBLAS/CPU+GPU)塈解决nvcc warning:The 'compute_20', 'sm_20'

左手的ㄟ右手 2022-09-28 13:27 238阅读 0赞

之前在ubuntu14下实现了Caffe编译(参见去年写的博客 [《 Ubuntu14:cmake生成Makefile编译caffe过程(OpenBLAS/CPU only)》][Ubuntu14_cmake_Makefile_caffe_OpenBLAS_CPU only])。  
最近将系统升级到ubuntu16,新电脑显示也支持CUDA了，重新编译Caffe时发现还依赖库还是有点不同，在这里记下来。

# 硬件配置 #

神舟Z7M-SL7D2笔记本  
CPU Core i7-6700HQ(含集成显卡)  
芯片组 Intel Hm170  
独立显卡 NVIDIA GTX965M

# 软件环境 #

ubuntu 16.04  
NVIDIA driver 378  
CUDA8.0  
cudnn 5.1

# 编译环境准备 #

安装编译Caffe所需的依赖库

#!/bin/bash
    sudo apt-get install cmake cmake-gui
    sudo apt-get install libprotobuf-dev protobuf-compiler libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev 
    sudo apt-get install libboost-all-dev   // 安装boost库
    #sudo apt-get install libatlas-base-dev  //BLAS如使用OpenBLAS，可不安装
    sudo apt-get install libopenblas-dev    //BLAS如使用atlas，可不安装
    sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
    sudo apt-get install python-numpy  // 安装numpy
    #sudo apt-get install doxygen // doxygen用于文档生成 可不安装

# 编译caffe #

以下是编译caffe的脚本(解压，生成Makefile，编译，安装全过程)  
build\_caffe.sh

#!/bin/bash
    caffe_folder=caffe-master
    if [ -d $caffe_folder ]
    then 
        rm -fr $caffe_folder
    fi
    # 从 https://github.com/BVLC/caffe 下载Caffe源码 保存为 caffe-master.zip 然后解压缩
    wget https://github.com/BVLC/caffe/archive/master.zip -O $caffe_folder.zip
    unzip $caffe_folder.zip 
    pushd $caffe_folder
    # 创建编译输出文件夹
    mkdir build && cd build
    # 执行cmake生成Makefile
    #编译CPU版本
    #cmake -DCPU_ONLY=ON -DBLAS=Open ..
    #编译GPU版本
    cmake -DBLAS=Open -DCUDA_NVCC_FLAGS=--Wno-deprecated-gpu-targets .. 
    # 开始编译并安装到build/install文件夹下 并发8线程
    make install -j 8
    cd ..
    popd

# 消除NVCC警告 #

在这里 `-DCUDA_NVCC_FLAGS=--Wno-deprecated-gpu-targets`用于指定CUDA编译器(nvcc)的编译选项，如果不指定`--Wno-deprecated-gpu-targets`选项则在编译Caffe时会产生如下编译警告

> 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).

当然也可以在cmake-gui中，如下图搜索NVCC，在CUDA\_NVCC\_FLAGS中添加`--Wno-deprecated-gpu-targets`  
![这里写图片描述][SouthEast]

执行`cmake -DBLAS=Open -DCUDA_NVCC_FLAGS=--Wno-deprecated-gpu-targets ..`输出如下

-- Boost version: 1.58.0
    -- Found the following Boost libraries:
    --   system
    --   thread
    --   filesystem
    --   chrono
    --   date_time
    --   atomic
    -- Found gflags  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)
    -- Found glog    (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so)
    -- Found PROTOBUF Compiler: /usr/bin/protoc
    -- Found lmdb    (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)
    -- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)
    -- Found Snappy  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so)
    -- CUDA detected: 8.0
    -- Found cuDNN: ver. 5.1.10 found (include: /usr/local/cuda-8.0/include, library: /usr/local/cuda-8.0/lib64/libcudnn.so)
    -- Automatic GPU detection failed. Building for all known architectures.
    -- Added CUDA NVCC flags for: sm_20 sm_21 sm_30 sm_35 sm_50
    -- OpenCV found (/usr/share/OpenCV)
    -- Found OpenBLAS libraries: /usr/lib/libopenblas.so
    -- Found OpenBLAS include: /usr/include
    -- NumPy ver. 1.11.0 found (include: /usr/lib/python2.7/dist-packages/numpy/core/include)
    -- Boost version: 1.58.0
    -- Found the following Boost libraries:
    --   python
    -- Detected Doxygen OUTPUT_DIRECTORY: ./doxygen/
    -- 
    -- ******************* Caffe Configuration Summary *******************
    -- General:
    --   Version           :   1.0.0-rc3
    --   Git               :   unknown
    --   System            :   Linux
    --   C++ compiler      :   /usr/bin/c++
    --   Release CXX flags :   -O3 -DNDEBUG -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
    --   Debug CXX flags   :   -g -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
    --   Build type        :   Release
    -- 
    --   BUILD_SHARED_LIBS :   ON
    --   BUILD_python      :   ON
    --   BUILD_matlab      :   OFF
    --   BUILD_docs        :   ON
    --   CPU_ONLY          :   OFF
    --   USE_OPENCV        :   ON
    --   USE_LEVELDB       :   ON
    --   USE_LMDB          :   ON
    --   ALLOW_LMDB_NOLOCK :   OFF
    -- 
    -- Dependencies:
    --   BLAS              :   Yes (Open)
    --   Boost             :   Yes (ver. 1.58)
    --   glog              :   Yes
    --   gflags            :   Yes
    --   protobuf          :   Yes (ver. 2.6.1)
    --   lmdb              :   Yes (ver. 0.9.17)
    --   LevelDB           :   Yes (ver. 1.18)
    --   Snappy            :   Yes (ver. 1.1.3)
    --   OpenCV            :   Yes (ver. 2.4.9.1)
    --   CUDA              :   Yes (ver. 8.0)
    -- 
    -- NVIDIA CUDA:
    --   Target GPU(s)     :   Auto
    --   GPU arch(s)       :   sm_20 sm_21 sm_30 sm_35 sm_50
    --   cuDNN             :   Yes (ver. 5.1.10)
    -- 
    -- Python:
    --   Interpreter       :   /usr/bin/python2.7 (ver. 2.7.12)
    --   Libraries         :   /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12)
    --   NumPy             :   /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.11.0)
    -- 
    -- Documentaion:
    --   Doxygen           :   /usr/bin/doxygen (1.8.11)
    --   config_file       :   /home/guyadong/caffe/caffe-master/.Doxyfile
    -- 
    -- Install:
    --   Install path      :   /home/guyadong/caffe/caffe-master/build/install
    -- 
    -- Configuring done
    -- Generating done
    -- Build files have been written to: /home/guyadong/caffe/caffe-master/build

[Ubuntu14_cmake_Makefile_caffe_OpenBLAS_CPU only]: http://blog.csdn.net/10km/article/details/53142309
[SouthEast]: /images/20220708/1559b0b7b6d646c58980f973b7bed65d.png