<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yestino - The Signal · CUDA][LinAlg Nopiv LU</title><link>https://yestino.com/zh-CN/entities/cuda-linalg-nopiv-lu-fa559f</link><description>与 CUDA][LinAlg Nopiv LU 相关的全部事件</description><language>zh-CN</language><atom:link href="https://yestino.com/zh-CN/entities/cuda-linalg-nopiv-lu-fa559f/feed.xml" rel="self" type="application/rss+xml"/><item><title>viable/strict/1790898650: [CUDA][LinAlg] Nopiv LU - better heuristics (#193004)</title><link>https://yestino.com/zh-CN/events/viable-strict-1790898650-cuda-linalg-nopiv-lu-better-heurist-0b13d0</link><guid isPermaLink="true">https://yestino.com/zh-CN/events/viable-strict-1790898650-cuda-linalg-nopiv-lu-better-heurist-0b13d0</guid><pubDate>Thu, 01 Oct 2026 19:26:02 GMT</pubDate><description>Without these we inflict up to 7x regression on inputs with low batch count, and up to 2x for high-batched inputs.
来源：PyTorch Releases</description></item></channel></rss>