If you’re into machine learning, you might need to utilize TensorFlow, if not PyTorch.

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Sending build context to Docker daemon 109.6 kB Step 1: FROM ubuntu:14.04 - b549a9959a66 Step 2: RUN apt-get update -y - Using cache - 2c Step 3: RUN apt-get install -y git curl apache2 php5 libapache2-mod-php5 php5-mcrypt php5-mysql python3.4 python-pip - Running in 49252a6d0eb1 Reading package lists. # apt update # apt install unit # apt install unit-dev unit-go unit-jsc8 unit-jsc11 unit-perl unit-php unit-python2.7 unit-python3.6 unit-python3.7 unit-ruby 16.04 Supported architectures: arm64, i386, x86-64. I’ve always been wondering how Docker works in this regards, and whether I should either make as many “RUN apt-get install” commands as possible, or if I should instead try to use as few RUN commands as possible, as these increases the number of layers (?). So for example: RUN apt-get update && apt-get install -y python-qt4 python-pyside python-pip python3-pip python3.

Assuming that you’re using Linux, I am going to show you how to install Tensorflow on Ubuntu. I have used Ubuntu 18.04 but the steps should be valid for other versions as well.

Do note that while you can try building it from source for other platforms/distributions, TensorFlow primarily supports Ubuntu Linux. So, I’ll stick to that in this article.

Installing TensorFlow on Ubuntu Linux

Before you start setting up TensorFlow, you need to enable the Universe Repository on Ubuntu. You can do that using this command:

Or go to the Software & Updates options and enable it from there:

Step 1: Get Python development environment

First, you have to set up a Python development environment to proceed. By default, you should have Python 3.6.x installed on Ubuntu. You can check Python version using:

Make sure you have Python 3.5–3.7 (as instructed officially). If you do not have it or need to upgrade it, install it using the following command in the terminal:

Step 2: Get Pip

Next, you need to check if you have Python’s pip package manager.

If you do not have it installed, you can install it by typing this:

However, you may not have the latest version onboard.

Note:TensorFlow requires pip version 19.0 or above. Fret not, you can upgrade pip once you set up the virtual environment in the next set of steps.

Step 3: Set up Python virtual environment

Now, that you’re done with setting up Python and pip, you need to set up a virtual environment for Python development. This way, you won’t affect the host system with whatever you are doing with Python setup.

To get started, install virtualenv:

The -H flag sets the HOME environment variable to the home directory.

You would want to create the Python virtual environment by specifying a directory and choosing a Python interpreter. Here’s what you have to type in order to do that:

With that completed, you just need to activate the virtual environment, for that, use the source command in following fashion:

While your virtual environment is active, you will observe that your shell prompt will be prefixed with (venv) as shown in the image below.

Next, you need to upgrade the pip version in the virtual environment without affecting the host setup (if its already up-to-date you will be notified of that):

If you are curious, you can also check out the list of packages installed in the virtual environment by typing this:

Step 4: Install TensorFlow

Finally you are about to install TensorFlow.

Make sure that you are using the virtual environment. Type in the following command to install TensorFlow:

You can also choose to verify the installation by typing in the following command in the virtual environment:

At last, you have installed TensorFlow successfully on Ubuntu!

Installing TensorFlow on Pop!_OS

Unlike Ubuntu, if you have Pop!_OS, you do not need to follow all these steps but a single command to utilize your base system python.

You just need to enter the following command in the terminal:

For more info on how to use it, you can refer to the official Pop!_OS resources.

Wrapping Up

Keep in mind that whenever you want to use TensorFlow on Ubuntu, you have to enter the specified Python virtual environment first.

If you’re new to TensorFlow, you might want to check out the official resources available to learn.

I hope this helps you out. It is also worth noting that I performed the steps to install TensorFlow on a fresh Ubuntu installation – so if you have modified something on your installation, you might need troubleshoot a bit while installing TensorFlow on Ubuntu.

Feel free to let me know your thoughts in the comments below.

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Docker Engine-Community 支持以下的 Ubuntu 版本：

• Xenial 16.04 (LTS)
• Bionic 18.04 (LTS)
• Cosmic 18.10
• Disco 19.04
• 其他更新的版本……

Docker Engine - Community 支持上 x86_64（或 amd64）armhf，arm64，s390x （IBM Z），和 ppc64le（IBM的Power）架构。

使用官方安装脚本自动安装

安装命令如下：

也可以使用国内 daocloud 一键安装命令：

手动安装

卸载旧版本

Docker 的旧版本被称为 docker，docker.io 或 docker-engine 。如果已安装，请卸载它们：

当前称为 Docker Engine-Community 软件包 docker-ce 。

安装 Docker Engine-Community，以下介绍两种方式。

使用 Docker 仓库进行安装

在新主机上首次安装 Docker Engine-Community 之前，需要设置 Docker 仓库。之后，您可以从仓库安装和更新 Docker 。

设置仓库

更新 apt 包索引。

安装 apt 依赖包，用于通过HTTPS来获取仓库:

添加 Docker 的官方 GPG 密钥：

9DC8 5822 9FC7 DD38 854A E2D8 8D81 803C 0EBF CD88 通过搜索指纹的后8个字符，验证您现在是否拥有带有指纹的密钥。

使用以下指令设置稳定版仓库

安装 Docker Engine-Community

更新 apt 包索引。

安装最新版本的 Docker Engine-Community 和 containerd ，或者转到下一步安装特定版本：

要安装特定版本的 Docker Engine-Community，请在仓库中列出可用版本，然后选择一种安装。列出您的仓库中可用的版本：

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使用第二列中的版本字符串安装特定版本，例如 5:18.09.1~3-0~ubuntu-xenial。

测试 Docker 是否安装成功，输入以下指令，打印出以下信息则安装成功:

使用 Shell 脚本进行安装

Docker 在 get.docker.com 和 test.docker.com 上提供了方便脚本，用于将快速安装 Docker Engine-Community 的边缘版本和测试版本。脚本的源代码在 docker-install 仓库中。 不建议在生产环境中使用这些脚本，在使用它们之前，您应该了解潜在的风险：

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• 脚本需要运行 root 或具有 sudo 特权。因此，在运行脚本之前，应仔细检查和审核脚本。

• 这些脚本尝试检测 Linux 发行版和版本，并为您配置软件包管理系统。此外，脚本不允许您自定义任何安装参数。从 Docker 的角度或您自己组织的准则和标准的角度来看，这可能导致不支持的配置。

• 这些脚本将安装软件包管理器的所有依赖项和建议，而无需进行确认。这可能会安装大量软件包，具体取决于主机的当前配置。

• 该脚本未提供用于指定要安装哪个版本的 Docker 的选项，而是安装了在 edge 通道中发布的最新版本。

• 如果已使用其他机制将 Docker 安装在主机上，请不要使用便捷脚本。

本示例使用 get.docker.com 上的脚本在 Linux 上安装最新版本的Docker Engine-Community。要安装最新的测试版本，请改用 test.docker.com。在下面的每个命令，取代每次出现 get 用 test。

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如果要使用 Docker 作为非 root 用户，则应考虑使用类似以下方式将用户添加到 docker 组：

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