<?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>Torch.compile on 兜忆轩 | Cedric's Compiler Notes</title><link>https://douyixuan.github.io/tags/torch.compile/</link><description>Recent content in Torch.compile on 兜忆轩 | Cedric's Compiler Notes</description><image><title>兜忆轩 | Cedric's Compiler Notes</title><url>https://douyixuan.github.io/images/papermod-cover.png</url><link>https://douyixuan.github.io/images/papermod-cover.png</link></image><generator>Hugo -- 0.146.0</generator><language>en-us</language><lastBuildDate>Thu, 01 Oct 2026 12:18:00 +0800</lastBuildDate><atom:link href="https://douyixuan.github.io/tags/torch.compile/index.xml" rel="self" type="application/rss+xml"/><item><title>016 · 退回编译器基线，也算优化成功吗？</title><link>https://douyixuan.github.io/posts/ai-silicon-papers/2026-10-01/</link><pubDate>Thu, 01 Oct 2026 12:18:00 +0800</pubDate><guid>https://douyixuan.github.io/posts/ai-silicon-papers/2026-10-01/</guid><description>KernelOPT 尊重 Inductor 已做出的库调用分派，只搜索生成的 Triton 子 kernel，并用四级验证决定替换或回退；250 个 KernelBench 问题上的整体加速来自少数显著收益与大量基线保留的组合，不能等同于每个任务都被优化。</description></item></channel></rss>