在哪里可以找到Google Cloud Platform深度学习VM映像和深度学习容器的源代码? [英] Where can I find the source code for the Google Cloud Platform Deep Learning VM images and Deep Learning Containers?

本文介绍了在哪里可以找到Google Cloud Platform深度学习VM映像和深度学习容器的源代码?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

GCP概述了深度学习中已安装的内容VMs ,但是查看实际的shell脚本将使确定VM映像之间的确切差异,调试所有部署问题以及创建派生映像变得更加容易.

GCP gives a general overview of what's installed in Deep Learning VMs, but seeing the actual shell scripts would make it easier to determine the exact differences between VM images, debug any deployment issues, and create derivative images.

有人已经问过有关深度学习容器的Dockerfiles ,但我想我会重复这个问题以增加被回答的可能性.

Someone already asked about the Dockerfiles for Deep Learning Containers, but I figured I'd repeat the question to increase the odds of it getting answered.

推荐答案

您可以创建并设置本地深度学习容器.查看官方文档入门本地深度学习容器,但请记住,该产品处于预发布状态,可能会更改或支持有限. 在这里,您可以找到要选择的容器图像从.不幸的是,没有源代码.

You can create and set up a local deep learning container. Have a look at the official documentation Getting started with a local deep learning container, but keep in mind that this product is in a pre-release state and might change or have limited support. Here you can find container images to choose from. Unfortunately, there's no source code.

同时,您可以按照@John Hanley的说明进行操作:您可以拉出容器图像并显示容器的历史记录".这向您展示了容器的构建方式和原始起始图像.这并不意味着您可以访问原始图像.可以添加和删除图像的一部分.还可以将图像导出到tar存档文件,进行修改,然后重新导入."

Meanwhile, you can follow instructions from @John Hanley: "You can pull a container image and show the "history" for the container. This shows you how it is built and what the original starting image. This does not mean that you access the original image. You can add to and remove parts of the image. You can also export an image to a tar archive file, modify and then reimport".

这篇关于在哪里可以找到Google Cloud Platform深度学习VM映像和深度学习容器的源代码?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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