centos7.0 tesla k80 caffe 安装
来源:互联网 发布:聚合物基复合材料知乎 编辑:程序博客网 时间:2024/06/16 08:17
centos7.0 tesla k80 caffe 安装
官方安装步骤:
General dependencies
sudo yum install protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel
Remaining dependencies, recent OS
sudo yum install gflags-devel glog-devel lmdb-devel
Remaining dependencies, if not found
# glogwget https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/google-glog/glog-0.3.3.tar.gztar zxvf glog-0.3.3.tar.gzcd glog-0.3.3./configuremake && make install# gflagswget https://github.com/schuhschuh/gflags/archive/master.zipunzip master.zipcd gflags-mastermkdir build && cd buildexport CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1make && make install# lmdbgit clone https://github.com/LMDB/lmdbcd lmdb/libraries/liblmdbmake && make install
一般经过以上步骤,有一些库安装不了,需要手动安装:
opencv-devel
$ sudo yum -y install cmake pkgconfig gtk2-devel python-devel numpy tbb-devel libpng-devel$ wget http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.10/opencv-2.4.10.zip$ unzip opencv-2.4.10.zip$ cd opencv-2.4.10$ mkdir build$ cd build$ cmake ../ -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local -DBUILD_EXAMPLES=ON -DBUILD_NEW_PYTHON_SUPPORT=ON -DINSTALL_PYTHON_EXAMPLES=ON$ make -j 2$ sudo make install
问题一
/home/usrname/opencv-3.0.0/modules/cudalegacy/src/graphcuts.cpp:120:54: error: ‘NppiGraphcutState’ has not been declared typedef NppStatus (*init_func_t)(NppiSize oSize, NppiGraphcutState** ppStat ^/home/usrname/opencv-3.0.0/modules/cudalegacy/src/graphcuts.cpp:135:18: error: ‘NppiGraphcutState’ does not name a type operator NppiGraphcutState*() ^/home/usrname/opencv-3.0.0/modules/cudalegacy/src/graphcuts.cpp:141:9: error: ‘NppiGraphcutState’ does not name a type NppiGraphcutState* pState;解决方案:需要修改一处源码:在graphcuts.cpp中将#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) 改为#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)
问题二
nvcc fatal : Unsupported gpu architecture 'compute_11' CMake Error at cuda_compile_generated_matrix_operations.cu.o.cmake:206 (message): Error generating /home/smie/Documents/opencv2.4.11/build/modules/core/CMakeFiles/cuda_compile.dir/__/dynamicuda/src/cuda/./cuda_compile_gene rated_matrix_operations.cu.o make[2]: *** [modules/core/CMakeFiles/cuda_compile.dir/__/dynamicuda/src/cuda/./cuda_compile_generated_matrix_operations.cu.o] Error 1 make[1]: *** [modules/core/CMakeFiles/opencv_core.dir/all] Error 2 make[1]: *** Waiting for unfinished jobs.... 使用以下命令解决$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D CUDA_GENERATION=Kepler ..
HDF5
点击库下载地址
Currently, the SWMR feature can only be tested on UNIX platforms. The SWMR testing is disabled on Windows.
PLEASE be aware: On UNIX platforms the HDF5 tests must be run on a local file system or a parallel file system running GPFS or Lustre in order for the SWMR tests to complete properly. For example:
cd LocalFSpath mkdir build cd build /path_to_HDF5_source/configure ... make make check make install
boost-devel
$ wget -O boost_1_55_0.tar.bz2 http://downloads.sourceforge.net/project/boost/boost/1.55.0/boost_1_55_0.tar.bz2?r=http%3A%2F%2Fsourceforge.net%2Fprojects%2Fboost%2Ffiles%2Fboost%2F1.55.0%2F&ts=1385953406&use_mirror=softlayer-ams$ tar jxvf boost_1_55_0.tar.bz2$ cd boost_1_55_0$ ./bootstrap.sh$ ./b2$ sudo ./b2 install
glog-devel
$ sudo wget https://codeload.github.com/google/glog/zip/master$ unzip glog-master.zip$ cd glog-master$ ./configure$ make -j4$ sudo make install
protobuf
$ wget -O protobuf.zip https://github.com/google/protobuf/archive/master.zip$ unzip protobuf.zip$ cd protobuf-master$ ./autogen.sh$ make && make check$ sudo make install
leveldb-devel
$ sudo git clone https://github.com/google/leveldb.git$ make$ sudo cp -r include/leveldb /usr/local/include$ sudo cp ./out-shared/libleveldb.so /usr/local/lib
openblas
$ git clone https://github.com/xianyi/OpenBLAS.git$ cd OpenBLAS$ make FC=gfortran (如果没有安装gfortran,执行sudo apt-get install gfortran)(centos是yum install gcc-gfortran)$ sudo make PREFIX=/usr/local/install$ ln -s /opt/OpenBLAS/lib/libopenblas.so /usr/lib/libblas.so.3$ ln -s /opt/OpenBLAS/lib/liblapack.so.3 /usr/lib/liblapack.so.3
安装依赖库后编译caffe
$ sudo cp Makefile.config.example Makefile.config# Adjust Makefile.config (for example, if using Anaconda Python, # or if cuDNN is desired)$ sudo make all$ sudo make test$ sudo make runtest
如果是新版的caffe会报以下错误:/
/usr/bin/ld: cannot find -lcblas
/usr/bin/ld: cannot find -latlas。
解决方法:
sudo vim Makefile.config修改以下代码:BLAS := atlas (修改前)BLAS := open (修改后)BLAS_INCLUDE := /usr/local/include/openblas (添加)
阅读全文
0 0
- centos7.0 tesla k80 caffe 安装
- Caffe + Tensorflow + CentOS7.0 + K80 配置
- centos7.0 caffe安装详解
- NVIDIA Tesla K80:怪物般的双芯计算卡
- NVIDIA Tesla K80:怪物般的双芯计算卡
- NVIDIA Tesla K80:怪物般的双芯计算卡
- K80服务器安装tensorflow
- Ubuntu14.04安装caffe+cuda7.5+OpenCV2.4.9+Matlab2014A(显卡K80×2)
- Centos7中安装caffe
- CentOS7系统安装Caffe
- Centos7下caffe的安装
- CentOs7下,Caffe环境安装问题解决
- ubuntu16.04 系统下K80安装nvidia驱动
- docker安装带GPU模式的caffe(Centos7)
- 在centos7的无外网环境下编译安装caffe
- centos7 安装TensorFlow和caffe,CPU版,python2.7
- centos7下,intel-opencl-caffe安装中遇到的坑
- Ubuntu14.0安装Caffe
- 【UVA11865】比赛网络(二分+有向生成树)
- IntelliJ IDEA平台下JNI编程(一)—HelloWorld篇
- 嵌入式产品开发流程
- 组合数学之放球问题 【附斯特林数】
- codeforces 463D
- centos7.0 tesla k80 caffe 安装
- 【HDU1695】GCD(莫比乌斯反演+优化)
- ELF文件格式解析
- 818总结
- 化装晚会
- 强连通+最小路径覆盖 hdu 3861
- ORACLE查询优化之is null和is not null优化
- JZOJ3457. 【NOIP2013模拟联考3】沙耶的玩偶(doll) (2017.8B组)
- git基本操作入门