<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yestino - The Signal · N-bit</title><link>https://yestino.com/entities/n-bit-2d3fbc</link><description>Every event involving N-bit</description><language>en</language><atom:link href="https://yestino.com/entities/n-bit-2d3fbc/feed.xml" rel="self" type="application/rss+xml"/><item><title>trunk/296101d35a7ab06f3cc8a4c3ec70f4bb020d5a9e: [caffe2] Use thread-local cache for N-bit embedding bags (#200898)</title><link>https://yestino.com/events/trunk-296101d35a7ab06f3cc8a4c3ec70f4bb020d5a9e-caffe2-use-th-25765f</link><guid isPermaLink="true">https://yestino.com/events/trunk-296101d35a7ab06f3cc8a4c3ec70f4bb020d5a9e-caffe2-use-th-25765f</guid><pubDate>Wed, 14 Oct 2026 19:08:39 GMT</pubDate><description>Summary: Opts the quantized CPU embedding-bag implementation into FBGEMM&apos;s thread-local dense and row-wise-sparse N-bit kernel caches, removing global cache lo…
Sources: PyTorch Releases</description></item></channel></rss>