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CentOS 的 YUM安装时卡死解决方案 YUM是基于RPM的软件包管理器YUM is an RPM-based package manager补充说明Supplementary noteyum命令 是在Fedora和RedHat以及SUSE中基于rpm的软件包管理器，它可以使系统管理人员交互和自动化地更新与管理RPM软件包，能够从指定的服务器自动下载RPM包并且安装，可以自动处理依赖性关系，并且一次安装所有依赖的软体包，无须繁琐地一次次下载、安装。yum提供了查找、安装、删除某一个、一组甚至全部软件包的命令，而且命令简洁而又好记。 The yum command is a rpm-based package manager in Fedora, RedHat and SUSE. It enables system administrators to interactively and automatically update and manage RPM packages. It can automatically download and install RPM packages from a specified server, and can be processed automatically Dependency relationship, and install all dependent software packages at one time, no need to download and install tediously again and again. Yum provides commands to find, install, delete a certain, a group or even all packages, and the commands are concise and easy to remember.问题： 在使用yum安装时，卡死并且无法Ctrl+c终止，需要将其杀死才能停止。如下图： When using yum to install, it is stuck and cannot be terminated by Ctrl+c. You need to kill it to stop.As shown below:解决方案一：Solution 1: 删除rpm数据文件后再重建rpm数据文件：Rebuild the rpm data file after deleting the rpm data file: 删除rpm数据文件Delete rpm data filerm -f /var/lib/rpm/__db.00*重建rpm数据文件Rebuild rpm data filerpm -vv --rebuilddb清空缓存后再重新缓存Re-cache after clearing the cacheyum clean all yum makecache执行完一般情况就可以正常使用了，若依旧无法使用请参考以下方式二 After executing the general situation, it can be used normally, if it still cannot be used, please refer to the following method two解决方案二：Solution two:将这俩个文件删除后在进行测试Test after deleting these two files -
Python安装-在Linux系统中使用编译进行安装 Python安装-在Linux系统中使用编译进行安装 你可以使用Ubuntu自带的Python3，不过你不能自由的控制版本，还要单独安装pip3，如果你想升级pip3，还会出现一些让人不愉快的使用问题。而在CentOS系统中，默认只有Python2，通过yum安装Python3，也同样面临版本落后以及pip3的问题。如果不自己编译安装，还有什么别的方法来一直保持使用最新的版本呢？！除非你用Win系统。You can use the Python3 that comes with Ubuntu, but you can't control the version freely. You have to install pip3 separately. If you want to upgrade pip3, there will be some unpleasant usage problems. In the CentOS system, there is only Python2 by default. Installing Python3 through yum also faces the problems of backward version and pip3. If you don’t compile and install it yourself, what other methods are there to keep using the latest version? ! Unless you use Win system.在CentOS中安装Python3需要的依赖库Install the dependency libraries required by Python3 in CentOSsudo yum install zlib-devel bzip2-developenssl-devel ncurses-devel sqlite-devel readline-devel tk-devel libffi-develexpat-devel gdbm-devel xz-devel db4-devel libpcap-devel make在Ubuntu中安装Python3需要的依赖库Install the dependency libraries required by Python3 in Ubuntu$ sudo apt install libreadline-gplv2-devlibncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libbz2-devzlib1g-dev libffi-dev liblzma-dev安装GCCInstall GCCCentOS的minimal版本，以及Ubuntu，都没有预装gcc，如果你用的是这两个版本，需要确保系统有gcc编译器可以使用。安装和查看gcc的方法：The minimal version of CentOS and Ubuntu do not have gcc pre-installed. If you are using these two versions, you need to make sure that the system has a gcc compiler that can be used. How to install and view gcc: $ sudo yum install gcc # install gcc in centos $ sudo apt install gcc # install gcc in ubuntu $ which gcc # check if gcc is there $ gcc --version # check gcc version下载Python3源码并解压Download the Python3 source code and unzip itPython3的官方源码下载页面是：https://www.python.org/downloads/The official source code download page of Python3 is:https://www.python.org/downloads/ 使用curl或wget下载，然后解压：Use curl or wget to download, and then unzip:Wget https://www.python.org/ftp/python/3.9.2/Python-3.9.2.tgz tar xvf Python-3.9.2.tgz执行configureExecute configure进入上一步的解压目录，然后执行configure：Enter the unzipped directory of the previous step, and then execute configure:$ cd Python-3.7.3 $ ./configure --prefix=/usr/local/python-3.9.2make和installmake and install最后，我们执行make和install的指令。Finally, we execute the make and install instructions.$ make && sudo make installmake install 前要有sudo，因为我们在configure的时候，指定的安装路径为系统路径，不是用户的/home/user路径。There must be sudo before make install, because when we configure, the specified installation path is the system path, not the user's /home/user path.ln -s /usr/local/python-3.9.2/bin/python3.9/usr/bin/python3 ln -s /usr/local/python-3.9.2/bin/pip3.9/usr/bin/pip3
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服务器被入侵，异常进程无法杀掉，随机进程名 故事情节： 有一天在聚餐中，我有一个朋友和我说他的服务器上有有个异常的进程他一直在占满CPU在运行，我在一顿谦虚之后答应了他，有空登录上他的服务器看一下具体情况。 这一天正是五月一日，一年一度的劳动节来了，我在家里闲着没事干在看某综艺，这时手机响了，来了一条微信消息，看到他给我发来了俩张图，突然勾起了我内心的好奇。 就是以上三张图，在proc目录中的exe指向的文件已被删除，我看到这里，我好奇这个进程肯定是被隐藏掉了。这时，我急中生智跟这位朋友要了root账号密码。登录服务器用top命令一看，发现一个奇怪的进程在运行，我使用kill命令将其杀后，等了十来分钟后，发现没有被启动，这时我和这位朋友说干掉了，他问我是不是kill掉了，我说嗯，他又补充到，这个进程杀掉过段时间会起来的，我问他大概多久就会启动，他说不清楚大概一天内肯定会启动。这时我慌了，如果是一天内才启动，我还得明天才能看见，那实在没办法了。我又开始看我的综艺了。 没过多久，我又看了一下，发现这个进程换了个名字又启动了。还干满了CPU，就在这时，我在研究这个进程运行文件的时候发现： 这个进程会连到一个韩国的服务器上，我访问这个IP发现是一个正常的网站，没有异常情况。 同时在查看运行目录的时候，发现如下问题 发现运行文件的命令也没有，同时运行目录也被删掉了。就在这时卡住了脖子，不知如何是好，这时突然想起来一个定时运行的脚本。打开脚本是这样的： 发现这个脚本是base64编码加密的，在网上找了一个解密的工具，进解密后发现这个是脚本完整脚本如图： 在下大概看了一下脚本内容，如下是执行一个临时文件并赋予一个执行权限在执行完成后将其删除，所以刚刚在看得时候发现执行的目录下得文件报红出现丢失的情况 最骚的是这里，关键东西在这里了。使用拼接组成一个URL进行下载病毒文件。通过一系列操作，先查看本地IP，又看了是我是谁，又看了机器的架构，还看了机器的主机名，同时还看了本地的网卡所有的IP。最关键的是把网络这一块搞成一个md5sum。在最后查看了定时任务并搞成了一个base64的字符串 再往下就是下载脚本执行并添加定时任务了，有意思的是这个脚本的2017年的，至今还再用。到最后我取消了他所有权限，并改了名字，同时把定时任务将其删除。到此该病毒已被清理。本文使用 文章同步助手 同步
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华为人工智能atlasA800-9000物理服务器离线安装及CANN安装和MindSpore安装和Tensorflow安装 目录华为人工智能atlas A800-9000 物理服务器全程离线安装驱动以及CANN安装部署和MindSpore安装部署和Tensorflow安装部署A800-9000 物理服务器安装驱动使用镜像配置本地apt源创建普通用户并设置密码安装驱动以及固件验证是否安装成功CANN开发环境部署安装安装环境以及依赖安装完成后查看版本安装Python3.7.5使用Python3.7.5环境安装pip依赖包安装开发套件包CANN训练环境部署安装说明安装训练软件包安装MindSpore安装whl包配置环境变量测试是否可行安装mindinsight安装whl包配置环境变量启动及使用安装Tensorflow编译hdf5配置环境变量及软连接安装whl包安装Pytorch华为人工智能atlas A800-9000 物理服务器全程离线安装驱动以及CANN安装部署和MindSpore安装部署和Tensorflow安装部署背景Atlas 800 训练服务器（型号：9000）是基于华为鲲鹏920+昇腾910处理器的AI训练服务器，具有最强算力密度、超高能效与高速网络带宽等特点。该服务器广泛应用于深度学习模型开发和训练，适用于智慧城市、智慧医疗、天文探索、石油勘探等需要大算力的行业领域。链接：https://e.huawei.com/cn/products/cloud-computing-dc/atlas/atlas-800-training-9000CANN (Compute Architecture for Neural Networks)是华为公司针对AI场景推出的异构计算架构，通过提供多层次的编程接口，支持用户快速构建基于昇腾平台的AI应用和业务。链接：https://e.huawei.com/cn/products/cloud-computing-dc/atlas/cannMindSpore，新一代AI开源计算框架。创新编程范式，AI科学家和工程师更易使用，便于开放式创新；该计算框架可满足终端、边缘计算、云全场景需求，能更好保护数据隐私；可开源，形成广阔应用生态。链接：https://www.mindspore.cn/TensorFlow最初由谷歌大脑团队开发，用于Google的研究和生产，于2015年11月9日在Apache 2.0开源许可证下发布。 链接： https://www.tensorflow.org/A800-9000物理服务器安装驱动使用镜像配置本地apt源root@ubuntu:/etc/apt# mkdir/media/cdrom root@ubuntu:/etc/apt# mount/home/cby/ubuntu-18.04.5-server-arm64.iso /media/cdrom mount: /media/chrom: WARNING:device write-protected, mounted read-only. root@ubuntu:/etc/apt# apt-cdrom-m -d=/media/cdrom/ add root@ubuntu:/etc/apt# cat/etc/apt/sources.list创建普通用户并设置密码root@ubuntu:~#groupadd HwHiAiUser root@ubuntu:~#useradd -g HwHiAiUser -d /home/HwHiAiUser -m HwHiAiUser root@ubuntu:~#passwd HwHiAiUser Enter newUNIX password: Retype newUNIX password: passwd:password updated successfully安装驱动以及固件root@ubuntu:~# cd /home/cby/ root@ubuntu:/home/cby# ll total 98324 drwxr-xr-x 4 cby cby 4096 Apr 21 21:41 ./ drwxr-xr-x 4 root root 4096 Apr 21 21:44 ../ -rw-r--r-- 1 cby cby 99728721 Apr 21 21:41A800-9000-npu-driver\_20.2.0\_ubuntu18.04-aarch64.run -rw-r--r-- 1 cby cby 912335 Apr 21 21:41 A800-9000-npu-firmware\_1.76.22.3.220.run root@ubuntu:/home/cby# chmod +x\*.run root@ubuntu:/home/cby# ll total 98324 drwxr-xr-x 4 cby cby 4096 Apr 21 21:41 ./ drwxr-xr-x 4 root root 4096 Apr 21 21:44 ../ -rwxr-xr-x 1 cby cby 99728721 Apr 21 21:41 A800-9000-npu-driver\_20.2.0\_ubuntu18.04-aarch64.run\* -rwxr-xr-x 1 cby cby 912335 Apr 21 21:41 A800-9000-npu-firmware\_1.76.22.3.220.run\* root@ubuntu:/home/cby# aptinstall gcc root@ubuntu:/home/cby# aptinstall make root@ubuntu:/home/cby#./A800-9000-npu-driver\_20.2.0\_ubuntu18.04-aarch64.run –run root@ubuntu:/home/cby#./A800-9000-npu-firmware\_1.76.22.3.220.run –run*注意：安装完成后需要重启服务器验证是否安装成功root@ubuntu:/home/cby#npu-smi infoCANN开发环境部署安装 安装环境以及依赖root@ubuntu:/home/cby# apt install g++ root@ubuntu:/home/cby# cd cmake/ root@ubuntu:/home/cby/cmake# ll total 4356 drwxr-xr-x 2 root root 4096 Apr 21 23:48 ./ drwxr-xr-x 7 cby cby 4096 Apr 21 23:48 ../ -rw-r--r-- 1 cby cby 2971248 Apr 21 23:45 cmake\_3.10.2-1ubuntu2.18.04.1\_arm64.deb -rw-r--r-- 1 cby cby 1331524 Apr 21 23:45 cmake-data\_3.10.2-1ubuntu2.18.04.1\_all.deb -rw-r--r-- 1 cby cby 69166 Apr 21 23:47 libjsoncpp1\_1.7.4-3\_arm64.deb -rw-r--r-- 1 cby cby 71788 Apr 21 23:48 librhash0\_1.3.6-2\_arm64.deb root@ubuntu:/home/cby/cmake# apt install./\* root@ubuntu:/home/cby/cmake# make–versionroot@ubuntu:/home/cby# apt install./zlib1g-dev\_1%3a1.2.11.dfsg-0ubuntu2\_arm64.deb root@ubuntu:/home/cby# apt install./libbz2-dev\_1.0.6-8.1ubuntu0.2\_arm64.deb root@ubuntu:/home/cby# apt install ./libsqlite3-dev\_3.22.0-1ubuntu0.4\_arm64.debroot@ubuntu:/home/cby# cd libssl-dev/ root@ubuntu:/home/cby/libssl-dev#apt install ./\*root@ubuntu:/home/cby# cd libxslt1-dev/ root@ubuntu:/home/cby/libxslt1-dev#ll total 13596 drwxr-xr-x 2 root root 4096 Apr 22 00:37 ./ drwxr-xr-x 10 cby cby 4096 Apr 22 00:37 ../ -rw-r--r-- 1 cby cby 18528 Apr 22 00:30gir1.2-harfbuzz-0.0\_1.7.2-1ubuntu1\_arm64.deb -rw-r--r-- 1 cby cby 170204 Apr 22 00:27icu-devtools\_60.2-3ubuntu3.1\_arm64.deb -rw-r--r-- 1 cby cby 983364 Apr 22 00:37libglib2.0-0\_2.56.4-0ubuntu0.18.04.8\_arm64.deb -rw-r--r-- 1 cby cby 61832 Apr 22 00:33libglib2.0-bin\_2.56.4-0ubuntu0.18.04.8\_arm64.deb -rw-r--r-- 1 cby cby 1297600 Apr 22 00:31libglib2.0-dev\_2.56.4-0ubuntu0.18.04.8\_arm64.deb -rw-r--r-- 1 cby cby 99676 Apr 22 00:31libglib2.0-dev-bin\_2.56.4-0ubuntu0.18.04.8\_arm64.deb -rw-r--r-- 1 cby cby 14528 Apr 22 00:32libgraphite2-dev\_1.3.11-2\_arm64.deb -rw-r--r-- 1 cby cby 280584 Apr 22 00:28libharfbuzz-dev\_1.7.2-1ubuntu1\_arm64.deb -rw-r--r-- 1 cby cby 12556 Apr 22 00:30libharfbuzz-gobject0\_1.7.2-1ubuntu1\_arm64.deb -rw-r--r-- 1 cby cby 5348 Apr 22 00:29libharfbuzz-icu0\_1.7.2-1ubuntu1\_arm64.deb -rw-r--r-- 1 cby cby 8890124 Apr 22 00:26libicu-dev\_60.2-3ubuntu3.1\_arm64.deb -rw-r--r-- 1 cby cby 14412 Apr 22 00:28libicu-le-hb0\_1.0.3+git161113-4\_arm64.deb -rw-r--r-- 1 cby cby 29760 Apr 22 00:27libicu-le-hb-dev\_1.0.3+git161113-4\_arm64.deb -rw-r--r-- 1 cby cby 18756 Apr 22 00:26libiculx60\_60.2-3ubuntu3.1\_arm64.deb -rw-r--r-- 1 cby cby 120696 Apr 22 00:35libpcre16-3\_2%3a8.39-9\_arm64.deb -rw-r--r-- 1 cby cby 113240 Apr 22 00:35libpcre32-3\_2%3a8.39-9\_arm64.deb -rw-r--r-- 1 cby cby 459316 Apr 22 00:33libpcre3-dev\_2%3a8.39-9\_arm64.deb -rw-r--r-- 1 cby cby 15124 Apr 22 00:35libpcrecpp0v5\_2%3a8.39-9\_arm64.deb -rw-r--r-- 1 cby cby 673384 Apr 22 00:25libxml2-dev\_2.9.4+dfsg1-6.1ubuntu1.3\_arm64.deb -rw-r--r-- 1 cby cby 395564 Apr 22 00:24libxslt1-dev\_1.1.29-5ubuntu0.2\_arm64.deb -rw-r--r-- 1 cby cby 42802 Apr 22 00:33pkg-config\_0.29.1-0ubuntu2\_arm64.deb -rw-r--r-- 1 cby cby 144176 Apr 22 00:37python3-distutils\_3.6.9-1~18.04\_all.deb root@ubuntu:/home/cby/libxslt1-dev#apt install ./\*root@ubuntu:/home/cby# cd libffi-dev/ root@ubuntu:/home/cby/libffi-dev#ls libffi-dev\_3.2.1-8\_arm64.deb root@ubuntu:/home/cby/libffi-dev#apt install ./\*root@ubuntu:/home/cby#apt install unzip root@ubuntu:/home/cby# apt install./libblas-dev\_3.7.1-4ubuntu1\_arm64.debroot@ubuntu:/home/cby# cd gfortran/ root@ubuntu:/home/cby/gfortran#ll total 7844 drwxr-xr-x 2 root root 4096 Apr 22 00:50 ./ drwxr-xr-x 12cby cby 4096 Apr 22 00:50 ../ -rw-r--r-- 1 cby cby 1344 Apr 22 00:48gfortran\_4%3a7.4.0-1ubuntu2.3\_arm64.deb -rw-r--r-- 1 cby cby 7464740 Apr 22 00:48gfortran-7\_7.5.0-3ubuntu1~18.04\_arm64.deb -rw-r--r-- 1 cby cby 248176 Apr 22 00:50libgfortran4\_7.5.0-3ubuntu1~18.04\_arm64.deb -rw-r--r-- 1 cby cby 300500 Apr 22 00:49libgfortran-7-dev\_7.5.0-3ubuntu1~18.04\_arm64.deb root@ubuntu:/home/cby/gfortran#apt install ./\*root@ubuntu:/home/cby# cd libblas3/ root@ubuntu:/home/cby/libblas3#apt install ./libblas3\_3.7.1-4ubuntu1\_arm64.debroot@ubuntu:/home/cby# cdlibopenblas-dev/ root@ubuntu:/home/cby/libopenblas-dev#ll total 3412 drwxr-xr-x 2 root root 4096 Apr 22 00:56 ./ drwxr-xr-x 14cby cby 4096 Apr 22 00:56 ../ -rw-r--r-- 1 cby cby 1813748 Apr 22 00:55libopenblas-base\_0.2.20+ds-4\_arm64.deb -rw-r--r-- 1 cby cby 1668126 Apr 22 00:54libopenblas-dev\_0.2.20+ds-4\_arm64.deb root@ubuntu:/home/cby/libopenblas-dev#apt install ./\*安装完成后查看版本gcc --version g++ --version make --version cmake --version dpkg -l zlib1g| grepzlib1g| grep ii dpkg -l zlib1g-dev|grep zlib1g-dev| grep ii dpkg -l libbz2-dev|grep libbz2-dev| grep ii dpkg -llibsqlite3-dev| grep libsqlite3-dev| grep ii dpkg -l openssl| grepopenssl| grep ii dpkg -l libssl-dev|grep libssl-dev| grep ii dpkg -l libxslt1-dev|grep libxslt1-dev| grep ii dpkg -l libffi-dev|grep libffi-dev| grep ii dpkg -l unzip| grepunzip| grep ii dpkg -l pciutils|grep pciutils| grep ii dpkg -l net-tools|grep net-tools| grep ii dpkg -l libblas-dev|grep libblas-dev| grep ii dpkg -l gfortran|grep gfortran| grep ii dpkg -l libblas3|grep libblas3| grep ii dpkg -llibopenblas-dev| grep libopenblas-dev| grep ii安装Python3.7.5root@ubuntu:/home/cby/python#tar xvf Python3.7.5.tar root@ubuntu:/home/cby/python# cdPython-3.7.5/ root@ubuntu:/home/cby/python/Python-3.7.5#./configure --prefix=/usr/local/python3.7.5 --enable-loadable-sqlite-extensions--enable-shared root@ubuntu:/home/cby/python/Python-3.7.5#make root@ubuntu:/home/cby/python/Python-3.7.5#make install root@ubuntu:/home/cby# sudo ln -s/usr/local/python3.7.5/bin/pip3 /usr/local/bin/pip3.7.5 root@ubuntu:/home/cby# sudo ln-s /usr/local/python3.7.5/bin/python3 /usr/local/bin/python3.7.5 root@ubuntu:/home/cby/cann\_xunlian#sudo ln -s /usr/local/python3.7.5/bin/python3 /usr/local/bin/python3.7 root@ubuntu:/home/cby/cann\_xunlian#sudo ln -s /usr/local/python3.7.5/bin/pip3 /usr/local/bin/pip3.7 root@ubuntu:/home/cby# vim ~/.bashrc exportLD\_LIBRARY\_PATH=/usr/local/python3.7.5/lib:$LD\_LIBRARY\_PATH root@ubuntu:/home/cby#python3.7.5 --version Python 3.7.5 root@ubuntu:/home/cby# pip3.7.5--version pip 19.2.3 from /usr/local/python3.7.5/lib/python3.7/site-packages/pip(python 3.7)使用Python3.7.5环境安装pip依赖包root@ubuntu:/home/cby/pip-pack# tar xvfpip\_pack.tar root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./attrs-20.3.0-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./numpy-1.17.2-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./decorator-5.0.6-py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./mpmath-1.2.1-py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./sympy-1.4-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./pycparser-2.20-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./cffi-1.12.3.tar.gz root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./PyYAML-5.3.1.tar.gz root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./six-1.15.0-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./pathlib2-2.3.5-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./psutil-5.8.0.tar.gz root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./protobuf-3.15.8-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./scipy-1.6.0-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./chardet-3.0.4-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./idna-2.10-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./urllib3-1.25.10-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./certifi-2020.6.20-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./certifi-2020.6.20-py2.py3-none-any.whl root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./requests-2.24.0-py2.py3-none-any.wh root@ubuntu:/home/cby/pip-pack/pip\_pack#pip3.7.5 install ./xlrd-1.2.0-py2.py3-none-any.whl *注意：以上pip包的安装必须以该顺序依次进行安装安装开发套件包root@ubuntu:/home/cby/cann#./Ascend-cann-tfplugin\_20.2.rc1\_linux-aarch64.run –install root@ubuntu:/home/cby/cann#./Ascend-cann-toolkit\_20.2.rc1\_linux-aarch64.run –install 出现install success后表示安装成功。 CANN训练环境部署安装说明 训练环境的Python3.7.5和环境以及依赖，和开发环境下的安装方式一样，可参考《CANN开发环境部署安装》文档进行安装。在已经搭建好的开发环境中，进行安装训练环境仅需安装一下训练软件包和实用工具包即可。安装训练软件包root@ubuntu:/home/cby/cann\_xunlian# chmod+x ./\*.run root@ubuntu:/home/cby/cann\_xunlian# ./Ascend-cann-nnae\_20.2.rc1\_linux-aarch64.run–install root@ubuntu:/home/cby/cann\_xunlian#./Ascend-cann-toolbox\_20.2.rc1\_linux-aarch64.run –install 出现install success后表示安装成功。安装MindSpore安装whl包 安装Ascend 910 AI处理器配套软件包提供的whl包，whl包随配套软件包发布，升级配套软件包之后需要重新安装。root@ubuntu:/home/cby/mindspore\_ascend#pip3.7.5 install /usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64/hccl-0.1.0-py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend#pip3.7.5 install /usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64/te-0.4.0-py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend#pip3.7.5 install /usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64/topi-0.4.0-py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install easydict-1.9.tar.gz root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./wheel-0.36.2-py2.py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./astunparse-1.6.3-py2.py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./Pillow-8.2.0-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./asttokens-2.0.4-py2.py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./cffi-1.14.5-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./pyparsing-2.4.7-py2.py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ./packaging-20.9-py2.py3-none-any.whl root@ubuntu:/home/cby/mindspore\_ascend/pip#pip3.7.5 install ../mindspore\_ascend-1.1.1-cp37-cp37m-linux\_aarch64.whl*注意：安装时必须以此顺序进行安装配置环境变量\# control log level.0-DEBUG, 1-INFO, 2-WARNING, 3-ERROR, default level is WARNING. export GLOG\_v=2 # Conda environmentaloptions LOCAL\_ASCEND=/usr/local/Ascend # the root directoryof run package # lib libraries thatthe run package depends on exportLD\_LIBRARY\_PATH=${LOCAL\_ASCEND}/add-ons/:${LOCAL\_ASCEND}/ascend-toolkit/latest/fwkacllib/lib64:${LOCAL\_ASCEND}/driver/lib64:${LOCAL\_ASCEND}/opp/op\_impl/built-in/ai\_core/tbe/op\_tiling:${LD\_LIBRARY\_PATH} # Environmentvariables that must be configured exportTBE\_IMPL\_PATH=${LOCAL\_ASCEND}/ascend-toolkit/latest/opp/op\_impl/built-in/ai\_core/tbe # TBE operatorimplementation tool path exportASCEND\_OPP\_PATH=${LOCAL\_ASCEND}/ascend-toolkit/latest/opp # OPP path exportPATH=${LOCAL\_ASCEND}/ascend-toolkit/latest/fwkacllib/ccec\_compiler/bin/:${PATH} # TBE operatorcompilation tool path exportPYTHONPATH=${TBE\_IMPL\_PATH}:${PYTHONPATH} # Python library thatTBE implementation depends on测试是否可行Python代码内容：import numpy as np from mindspore importTensor import mindspore.opsas ops importmindspore.context as context context.set\_context(device\_target="Ascend") x =Tensor(np.ones(\[1,3,3,4\]).astype(np.float32)) y =Tensor(np.ones(\[1,3,3,4\]).astype(np.float32)) print(ops.tensor\_add(x,y))出现此结果即是安装部署完成\[\[\[\[2. 2. 2. 2.\] \[2. 2. 2. 2.\] \[2. 2. 2. 2.\]\] \[\[2. 2. 2. 2.\] \[2. 2. 2. 2.\] \[2. 2. 2. 2.\]\] \[\[2. 2. 2. 2.\] \[2. 2. 2. 2.\] \[2. 2. 2. 2.\]\]\]\]安装mindinsight安装whl包root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./itsdangerous-1.1.0-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./Werkzeug-1.0.1-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./MarkupSafe-1.1.1-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./Jinja2-2.11.3-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./click-7.1.2-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./Flask-1.1.2-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./Flask\_Cors-3.0.10-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./yapf-0.31.0-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./future-0.18.2.tar.gz root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./treelib-1.6.1.tar.gz root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./grpcio-1.37.0-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./google\_pasta-0.2.0-py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./pytz-2021.1-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./python\_dateutil-2.8.1-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./pandas-1.2.3-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./gunicorn-20.1.0.tar.gz root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./marshmallow-3.11.1-py2.py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./threadpoolctl-2.1.0-py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./joblib-1.0.1-py3-none-any.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./scikit\_learn-0.24.1-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/mindinsight/Mindinsight#pip3.7.5 install ./mindinsight-1.1.1-cp37-cp37m-linux\_aarch64.whl*注意：安装必须以此顺序进安装配置环境变量在配置文件中配置如下变量PATH=$PATH:/usr/local/python3.7.5/bin/root@ubuntu:/home/cby#source /etc/profile启动及使用root@ubuntu:/home/cby#mindinsight start Workspace:/root/mindinsight Webaddress: http://127.0.0.1:8080 servicestart state: success 出现该消息后，说明可视化已经启动成功，若需要外机访问的话，需要进行反向代理到0.0.0.0上面即可，比如frp工具即可实现该操作 在训练完成的Python代码目录下，使以下命令即可启动并展示该目录下的训练数据，debugger的参数可使用false或者truemindinsightstart --summary-base-dir . --port 8080 --enable-debugger True --debugger-port50051使用如下命令即可启动训练root@ubuntu:/home/cby/lenet/lenet#python3.7.5 lenet.py --device_target=Ascend安装Tensorflow编译hdf5root@ubuntu:/home/cby/Tensorflow/Tensorflow#cd hdf5-1.10.5/ root@ubuntu:/home/cby/Tensorflow/Tensorflow/hdf5-1.10.5#./configure --prefix=/usr/include/hdf5 root@ubuntu:/home/cby/Tensorflow/Tensorflow/hdf5-1.10.5#make root@ubuntu:/home/cby/Tensorflow/Tensorflow/hdf5-1.10.5#make install配置环境变量及软连接exportCPATH="/usr/include/hdf5/include/:/usr/include/hdf5/lib/" root@ubuntu:/home/cby/Tensorflow/Tensorflow/hdf5-1.10.5#ln -s /usr/include/hdf5/lib/libhdf5.so /usr/lib/libhdf5.so root@ubuntu:/home/cby/Tensorflow/Tensorflow/hdf5-1.10.5#ln -s /usr/include/hdf5/lib/libhdf5\_hl.so /usr/lib/libhdf5\_hl.so安装whl包root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./Cython-0.29.21-py2.py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./h5py-2.10.0-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./grpcio-1.30.0.tar.gz root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./gast-0.2.2.tar.gz root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./opt\_einsum-3.3.0-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./Keras\_Applications-1.0.8-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./Keras\_Preprocessing-1.1.2-py2.py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./astor-0.8.1-py2.py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./typing\_extensions-3.7.4.3-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./zipp-3.4.1-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./importlib\_metadata-3.10.1-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./Markdown-3.2.2-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./tensorboard-1.15.0-py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./wrapt-1.12.1.tar.gz root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./tensorflow\_estimator-1.15.1-py2.py3-none-any.whl root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./termcolor-1.1.0.tar.gz root@ubuntu:/home/cby/Tensorflow/Tensorflow#pip3.7.5 install ./tensorflow-1.15.0-cp37-cp37m-linux\_aarch64.whl注意：必须依次安装安装Pytorchroot@ubuntu:/home/cby/pytorch/Pytorch#pip3.7.5 install ./apex-0.1+ascend-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/pytorch/Pytorch#pip3.7.5 install ./torch-1.5.0+ascend.post2-cp37-cp37m-linux\_aarch64.whl root@ubuntu:/home/cby/pytorch/Pytorch#pip3.7.5 install ./future-0.18.2.tar.gz该文章所配套的软件包关注微信公众号回复 ai 即可获取所需要的所有软件包 Linux运维交流社区Linux运维交流社区，互联网新闻以及技术交流。20篇原创内容公众号
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从APNIC获取中国IP地址列表 关于APNIC 全球IP地址块被IANA(Internet Assigned Numbers Authority)分配给全球三大地区性IP地址分配机构，它们分别是：ARIN (American Registry for Internet Numbers) 负责北美、南美、加勒比以及非洲撒哈啦部分的IP地址分配。同时还要给全球NSP(Network Service Providers)分配地址。RIPE (Reseaux IP Europeens) 负责欧洲、中东、北非、西亚部分地区(前苏联)APNIC (Asia Pacific Network Information Center) 负责亚洲、太平洋地区APNIC IP地址分配信息总表的获取：APNIC提供了每日更新的亚太地区IPv4，IPv6，AS号分配的信息表：http://ftp.apnic.net/apnic/stats/apnic/delegated-apnic-latest该文件的格式与具体内容参见：ftp://ftp.apnic.net/pub/apnic/stats/apnic/README.TXT通过该文件我们能够得到APNIC辖下IPv4地址空间的分配情况。脚本获取IP地址#!/bin/bash wget -c http://ftp.apnic.net/stats/apnic/delegated-apnic-latest cat delegated-apnic-latest | awk -F '|' '/CN/&&/ipv4/ {print $4 "/" 32-log($5)/log(2)}' | cat > ipv4.txt cat delegated-apnic-latest | awk -F '|' '/CN/&&/ipv6/ {print $4 "/" 32-log($5)/log(2)}' | cat > ipv6.txt cat delegated-apnic-latest | awk -F '|' '/HK/&&/ipv4/ {print $4 "/" 32-log($5)/log(2)}' | cat > ipv4-hk.txt cat delegated-apnic-latest | awk -F '|' '/HK/&&/ipv6/ {print $4 "/" 32-log($5)/log(2)}' | cat > ipv6-hk.txt执行脚本：[root@cby cby]# ./ip.sh --2021-04-29 12:17:13-- http://ftp.apnic.net/stats/apnic/delegated-apnic-latest Resolving ftp.apnic.net (ftp.apnic.net)... 203.119.102.40, 2001:dd8:8:701::40 Connecting to ftp.apnic.net (ftp.apnic.net)|203.119.102.40|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3352151 (3.2M) [text/plain] Saving to: ‘delegated-apnic-latest’ delegated-apnic-latest 100%[=============================================================>] 3.20M 61.3KB/s in 44s 2021-04-29 12:17:58 (74.0 KB/s) - ‘delegated-apnic-latest’ saved [3352151/3352151] [root@cby cby]# ls delegated-apnic-latest index.html ip.sh ipv4-hk.txt ipv4.txt ipv6-hk.txt ipv6.txt 每日凌晨十二点十分会进行同步，若需要IP地址，可以访问如下地址：http://aliyun.chenby.cn/定时任务：[root@cby cby]# crontab -l 10 0 * * * /www/server/cron/3ab48c27ec99cb9787749c362afae517 >> /www/server/cron/3ab48c27ec99cb9787749c362afae517.log 2>&1 10 0 * * * rm -rf /www/wwwroot/www.chenby.cn/cby/ipv4.txt /www/wwwroot/www.chenby.cn/cby/ipv4-hk.txt /www/wwwroot/www.chenby.cn/cby/ipv6.txt /www/wwwroot/www.chenby.cn/cby/ipv6-hk.txt /www/wwwroot/www.chenby.cn/cby/delegated-apnic-latest 11 0 * * * /www/wwwroot/www.chenby.cn/cby/ip.sh >> /home/ip.txt本文使用 文章同步助手 同步