# 替换并更新软件源

$ curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo

# 生成缓存

$ yum makecache

# 添加docker-ce软件源

$ curl -o /etc/yum.repos.d/docker-ce.repo https://download.docker.com/linux/centos/docker-ce.repo

生成缓存

$ yum makecache

# 前提条件

$ yum install -y yum-plugin-downloadonly

# 下载rpm安装包，我这里以docker-ce为例说明

$ yum install --downloadonly --downloaddir=./ docker-ce

# 会存放在/var/cache/apt/archives目录下面

$ sudo apt-get install --download-only pppoe

# 搜索已经安装的docker安装包

$ sudo yum list installed | grep docker

docker.x86_64 2:1.12.6-16.el7.centos @extras

# 分别删除安装包

$ sudo yum –y remove docker.x86_64

# 安装时一并安装对应依赖

$ sudo yum install ./*.rpm

--> Finished Dependency Resolution

Error: Package: audit-libs-python-2.8.1-3.el7.x86_64 (/audit-libs-python-2.8.1-3.el7.x86_64)

Requires: audit-libs(x86-64) = 2.8.1-3.el7

Installed: audit-libs-2.8.1-3.el7_5.1.x86_64 (@updates)

audit-libs(x86-64) = 2.8.1-3.el7_5.1

Available: audit-libs-2.8.1-3.el7.x86_64 (base)

audit-libs(x86-64) = 2.8.1-3.el7

You could try using --skip-broken to work around the problem

You could try running: rpm -Va --nofiles --nodigest

# 安装的时候忽略以问题

$ rpm -ivh --force --nodeps ./*.rpm

# 移动到上级目录

$ mv audit-libs-2.8.1-3.el7.x86_64.rpm ..

$ mv audit-libs-python-2.8.1-3.el7.x86_64.rpm ..

# CentOS

https://centos.pkgs.org/

# (1)确认需要的依赖包 - 外部第三方库

$ sudo vim requirements.txt

alembic

# (2)确认需要的依赖包 - 内部第三方库

$ sudo vim requirements.txt

--index-url https://admin:111111@pypi.escapelife.com:4874/simple

love_grilfriend

# (3)通过如下命令下载依赖

$ sudo pip download -d /root/packages -r requirements.txt

# 直接在online机器执行如下命令下载所有依赖package到当前目录

$ sudo pip download tensorflow

# 将目录内容拷贝到目标offline机器并目标offline机器执行

$ pip install --no-index --find-links=file:/data/tensorflow_package_dir tensorflow

# 不依赖其他库强制安装

$ pip install --no-deps tensorflow-1.2.3-cp36-cp36m-linux_x86_64.whl

# pyenv+docker

# 架构不同的情况下，可以使用docker创建一个和目标机器相同的系统

# 然后，使用上面这中方式进行下载和安装就可以了，也是很简单的，哈哈

# pyenv

# 通过pyenv安装指定版本的python

$ curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash pyenv install 3.7.13

# 切换Python版本

$ pyenv global 2.7.13

# docker

# 先启动目标系统的docker镜像

$ docker run -it -v /offline_tensorflow_py3:/package ubuntu /bin/bash

# 在容器内安装python

$ apt-get update && apt-get install python python-pip

# 使用和相同架构的操作步骤

# 只要指定
--platform/--python-version/--implementation/--abi即可

pip download with the --platform, --python-version, --implementation, and --abi options provides the ability to fetch dependencies for an interpreter and system other than the ones that pip is running on.

--only-binary=:all: or --no-deps is required when using any of these options. It is important to note that these options all default to the current system/interpreter, and not to the most restrictive constraints (e.g. platform any, abi none, etc).

To avoid fetching dependencies that happen to match the constraint of the current interpreter (but not your target one), it is recommended to specify all of these options if you are specifying one of them. Generic dependencies (e.g. universal wheels, or dependencies with no platform, abi, or implementation constraints) will still match an over- constrained download requirement.

# 下载TensorFlow的pip包

pip download \

--only-binary=:all: \ # 只下载二进制package（即wheel或egg）

--platform linux_x86_64 \ # 说明是linux 64位架构

--python-version 27 \ # Python 2.7

--implementation cp \ # Cython 一般都是这个

--abi cp27mu # 解释器和系统的依赖关系的能力

tensorflow # 要下载的package名

# 备份重要数据

如果是虚拟机的话，使用快照进行备份

针对重要程序数据进行备份，例如 MySQL、Apache、Nginx等

# 检查当前CentOS系统版本

$ cat /etc/redhat-release

> CentOS Linux release 7.3.1611 (Core)

# 检查当前CentOS系统内核版本

# 版本性质: 主分支ml(mainline)，稳定版(stable)，长期维护版lt(longterm)

$ uname -r

> 3.10.0-514.el7.x86_64

# 升级CentOS7.X内核并且启用ELRepo仓库

# RedHat只允许使用yum升级内核，CentOS允许使用ELRepo第三方仓库升级内核

$ rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org

$ rpm -Uvh http://www.elrepo.org/elrepo-release-7.0-2.el7.elrepo.noarch.rpm

# 安装最新的主线稳定内核

$ yum --enablerepo=elrepo-kernel install kernel-ml

# 设置GRUB默认的内核版本

# 修改含义: GRUB初始化页面的第一个内核将作为默认内核

$ vi /etc/default/grub

> GRUB_DEFAULT=0

# 重新创建内核配置

$ grub2-mkconfig -o /boot/grub2/grub.cfg

# 重启机器并查看系统当前内核版本

$ uname -sr

> Linux 4.12.0-1.el7.elrepo.x86_64

# 查看系统中全部的内核RPM包(可选操作)

$ rpm -qa | grep kernel

> kernel-tools-3.10.0-514.26.2.el7.x86_64

> kernel-devel-3.10.0-514.10.2.el7.x86_64

> kernel-3.10.0-514.26.2.el7.x86_64

> kernel-3.10.0-327.el7.x86_64

> kernel-ml-4.12.0-1.el7.elrepo.x86_64

> kernel-headers-3.10.0-514.26.2.el7.x86_64

> kernel-devel-3.10.0-514.26.2.el7.x86_64

> kernel-tools-libs-3.10.0-514.26.2.el7.x86_64

# 删除旧内核的RPM包(可选操作)

$ yum remove \

kernel-tools-3.10.0-514.26.2.el7.x86_64 \

kernel-devel-3.10.0-514.10.2.el7.x86_64 \

kernel-3.10.0-514.26.2.el7.x86_64 \

kernel-3.10.0-327.el7.x86_64 \

kernel-headers-3.10.0-514.26.2.el7.x86_64 \

kernel-devel-3.10.0-514.26.2.el7.x86_64 \

kernel-tools-libs-3.10.0-514.26.2.el7.x86_64

# 重启系统

$ reboot

# 无法上网的服务器或者需要安装指定版本内核的需求

# 我们可以把对应kernel的image的rpm包下载下来安装

官方CentOS6地址:
http://elrepo.org/linux/kernel/el6/x86_64/RPMS/

官方CentOS7地址:
http://elrepo.org/linux/kernel/el7/x86_64/RPMS/

# 当然配置了ELRepo仓库之后也是可以下载离线安装包的

$ yum install -y yum-plugin-downloadonly

$ yum install --downloadonly --downloaddir=./ kernel-ml

# 将rpm包下载上传到服务器上并使用下面的命令安装即可

$ yum -y install kernel-ml-4.12.4-1.el7.elrepo.x86_64.rpm

$ yum -y install kernel-ml-devel-4.12.4-1.el7.elrepo.x86_64.rpm

# 循环安装

$ pip install tensorflow

# --use-deprecated=legacy-resolver

$ pip3 install -r ./requirements.txt --upgrade --use-deprecated=legacy-resolver

# 报错信息

$ pip3 install psycopg2==2.8.4

creating pip-egg-info\psycopg2.egg-info

writing pip-egg-info\psycopg2.egg-info PKG-INFO

writing top-level names to pip-egg-info psycopg2.egg-info top_level.txt

writing dependency_links to pip-egg-info psycopg2.egg-info dependency_links.txt

writing manifest file 'pip-egg-info\psycopg2.egg-info\SOURCES.txt'

warning: manifest_maker: standard file '-c' not found

Error: pg_config executable not found.

Please add the directory containing pg_config to the PATH

or specify the full executable path with the option:

python setup.py build_ext --pg-config /path/to/pg_config build ...

or with the pg_config option in 'setup.cfg'.

----------------------------------------

Command python setup.py egg_info failed with error code 1

# 前提条件

$ sudo apt install postgresql-client

# Ubuntu - Python3

$ sudo apt install libpq-dev python3-dev

# Ubuntu - Python2

$ sudo apt install libpq-dev python-dev

$ sudo apt install build-essential