<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model-Convertor on 111qqz's blog</title><link>https://111qqz.com/en/tags/model-convertor/</link><description>Recent content in Model-Convertor on 111qqz's blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2015-2026 111qqz</copyright><lastBuildDate>Fri, 22 Nov 2019 11:14:19 +0800</lastBuildDate><atom:link href="https://111qqz.com/en/tags/model-convertor/index.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes(k8s)在深度学习模型转换方面的探索</title><link>https://111qqz.com/en/post/%E5%B7%A5%E7%A8%8B/%E5%AE%B9%E5%99%A8/2019-11-22-use-k8s-for-model-conversion/</link><pubDate>Fri, 22 Nov 2019 11:14:19 +0800</pubDate><guid>https://111qqz.com/en/post/%E5%B7%A5%E7%A8%8B/%E5%AE%B9%E5%99%A8/2019-11-22-use-k8s-for-model-conversion/</guid><description>&lt;p&gt;年中的时候接了离职的同事模型转换的锅，在不断地更新迭代的过程中，发现了一些痛点。
发现k8s能够解决一部分痛点，因此来分享一下在这方面的探索。&lt;/p&gt;</description></item></channel></rss>