如何扩展现有的Docker容器？ [英] How to extend existing docker container?

问题描述

tensorflow docker容器可从 https://hub.docker.com/r/获得。 tensorflow / tensorflow / 使用其他库扩展该容器，例如请求我知道两个选择。

The tensorflow docker container is available at https://hub.docker.com/r/tensorflow/tensorflow/ to extend this container with additional libraries such as requests I'm aware of two options.

1. 运行容器并运行 pip安装请求


2. 追加 pip安装请求到构建容器的 dockerFile

1. Run the container and run pip install requests
2. Append pip install requests to the dockerFile that builds this container

是否有其他选择？例如，从dockerFile创建 tensorflow / tensorflow 容器，然后在该容器上安装请求。

Is there an alternative option ? Something like creating the tensorflow/tensorflow container from a dockerFile and then installing requests on this container.

阅读如何扩展现有docker映像为此要创建具有这些内容的dockerFile？ ：

Reading How to extend an existing docker image? to accomplish this create a dockerFile with these contents ? :

FROM tensorflow/tensorflow
RUN pip install requests

推荐答案

您的原始断言正确，创建一个新的Dockerfile：

Your original assertion is correct, create a new Dockerfile:

FROM tensorflow/tensorflow
RUN pip install requests

现在构建它（请注意名称应为小写）：

now build it (note that the name should be lower case):

docker build -t me/mytensorflow .

运行它：

docker run -it me/mytensorflow

在其中执行shell（ docker ps -ql 为我们提供了要运行的最后一个容器的ID）：

execute a shell in it (docker ps -ql gives us an id of the last container to run):

docker exec -it `docker ps -ql` /bin/bash

从中获取日志：

docker logs `docker ps -ql`

扩展其他映像的能力使docker真正强大，此外，您还可以查看其Dockerfile：

The ability to extend other images is what makes docker really powerful, in addition you can go look at their Dockerfile:

https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools / docker

并从那里开始，而不扩展其docker镜像，这是在生产环境中使用docker的人们的最佳实践，因此您知道一切都已构建在内部，而不是由一些黑客偷偷将东西偷偷带入您的基础设施。干杯!和快乐的建筑

and start from there as well without extending their docker image, this is a best practice for people using docker in production so you know everything is built in-house and not by some hacker sneaking stuff into your infrastructure. Cheers! and happy building

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