(1)git clone git://github.com/xianyi/OpenBLAS (2)cd OpenBLAS (3)sudo make FC=gfortran(如果没有安装gfortran,执行sudo apt-get install gfortran) 也可以用这个指令,就把安装目录改为下面的目录了:/usr/local/Openblas/ sudo make --PREFIX=/usr/local/Openblas/ install /*安装*/ (4) sudo make ins...
基本步骤: gitclonegit://github.com/xianyi/OpenBLAScdOpenBLAS sudo apt-get install gfortran sudo make FC=gfortran sudo make install 最后安装在/opt下,执行: ln-s /opt/OpenBLAS/lib/libopenblas.so.0 /usr/lib/libopenblas.so.0 创建一个测试程序: #include<stdio.h>#include<stdlib.h>#include"cblas...
1. 下载OpenBLAS并编译 1git clone https://github.com/xianyi/OpenBLAS.git2cd OpenBLAS3make-j84sudomakePREFIX=/usr/local/OpenBLASinstall 2. 修改Caffe配置文件以下几行 # openforOpenBlas BLAS :=open # Custom (MKL/ATLAS/OpenBLAS) include and lib directories. # Leave commented to accept the defaults...
sudo apt-get --assume-yes install build-essential 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...
【摘要】 安装的步骤如下: (1)git clone git://github.com/xianyi/OpenBLAS (2)cd OpenBLAS (3)sudo make FC=gfortran (如果没有安装gfortran,执行sudo apt-get install gfortran) &nb... 安装的步骤如下: (1)git clone git://github.com/xianyi/OpenBLAS ...
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 ...
在打开的终端输入ls,回车之后在输入sudo ./vmware-install.pl,然后再回车,输入密码: 在停顿时输入yes,直到出现命令端。 在进行到这一步后,VMware Tools便安装完成了,当VMware Tools安装完成后,就可以从主机复制代码(小文件)过去,不可以复制大的文件,同时全屏时虚拟机就可以填充屏幕了。
OpenBLAS 1、先下载git,然后安装OpenBLAS mkdir ~/git cd ~/git git clone https://github.com/xianyi/OpenBLAS.git cd OpenBLAS sudo apt-get install gfortran make FC=gfortran -j $(($(nproc) + 1)) sudo make PREFIX=/usr/local install
安装BLAS库(本例中为OpenBLAS),以确保您可以在CPU上运行快速张量操作: $ sudo apt-getinstall build-essential cmake git unzip pkg-config libopenblas-dev liblapack-dev 安装Python科学套件:Numpy、SciPy和Matplotlib。这是必要的,以在Pytho中执行任何类型的机器学习或科学计算,不管你是否正在做深入学习: ...
3. 安装OpenBLAS线性代数库 make -j2 USE_THREAD=0 USE_LOCKING=1 make PREFIX=/home/ydn/opt/software/OpenBLAS-0.3.25/build install 4. 安装OpenMPI ./configure --prefix=/home/ydn/opt/software/openmpi-4.1.3/build 5. 编译zlib ./configure --prefix=/home/ydn/opt/software/zlib-1.2.11/build ...