<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>PyTorch on Ryan's Blog</title><link>/tags/pytorch/</link><description>Recent content in PyTorch on Ryan's Blog</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sun, 01 Nov 2026 00:30:00 +0800</lastBuildDate><atom:link href="/tags/pytorch/index.xml" rel="self" type="application/rss+xml"/><item><title>大道至简：用 720 行纯 Python 手搓 miles 最小闭环（SGLang + GRPO + 50ms CUDA IPC 热更新）</title><link>/posts/building-nano-miles-from-scratch/</link><pubDate>Sun, 01 Nov 2026 00:30:00 +0800</pubDate><guid>/posts/building-nano-miles-from-scratch/</guid><description>深度拆解企业级强化学习框架 miles 源码，剥离数万行分布式通信噪音，仅用 720 行纯 PyTorch 代码完整复现 TITO 零重分词采样、纯向量化 GRPO 组内优势白化、SGLang 50ms 显存级 CUDA IPC 零拷贝热更新，以及全异步解耦生产者驱动器。包含 13 项硬核单测与 RunPod L40S 真实收敛遥测日志。</description></item></channel></rss>