<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yestino - The Signal · Compact</title><link>https://yestino.com/entities/compact-b3b6e5</link><description>Every event involving Compact</description><language>en</language><atom:link href="https://yestino.com/entities/compact-b3b6e5/feed.xml" rel="self" type="application/rss+xml"/><item><title>trunk/68d62895fad677a8497f83eef2e0e348d7c7f1ab: [cuda] Compact ragged partials for foreach norm/max reductions (#190549)</title><link>https://yestino.com/events/trunk-68d62895fad677a8497f83eef2e0e348d7c7f1ab-cuda-compact-0ceee6</link><guid isPermaLink="true">https://yestino.com/events/trunk-68d62895fad677a8497f83eef2e0e348d7c7f1ab-cuda-compact-0ceee6</guid><pubDate>Sat, 03 Oct 2026 02:07:31 GMT</pubDate><description>Summary The CUDA _foreach_norm and _foreach_max kernels reduce each tensor in two steps: a first kernel writes one partial result per fixed-size chunk into a s…
Sources: PyTorch Releases</description></item></channel></rss>