{"id":154671,"date":"2026-01-22T17:12:16","date_gmt":"2026-01-22T15:12:16","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vyshel-pytorch-2-10"},"modified":"2026-01-22T17:12:16","modified_gmt":"2026-01-22T15:12:16","slug":"vyshel-pytorch-2-10","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/vyshel-pytorch-2-10","title":{"rendered":"PyTorch 2.10 ver\u00f6ffentlicht","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>PyTorch \u2014 ein beliebtes Framework f\u00fcr maschinelles Lernen \u2014 wurde auf Version 2.10 aktualisiert.<\/p>\n<p>Zu den wichtigsten Neuerungen geh\u00f6ren:<\/p>\n<ul>\n<li>\n<p>Unterst\u00fctzung von AMD ROCm:<\/p>\n<ul>\n<li>Unterst\u00fctzung f\u00fcr gruppierte GEMM wurde eingef\u00fchrt.<\/li>\n<li>Verbesserte Unterst\u00fctzung von ROCm f\u00fcr Windows.<\/li>\n<li>Neue GPU-Modelle GFX1150\/GFX1151 (Serie AI 300) wurden zur hipblaslt Unterst\u00fctzungsliste hinzugef\u00fcgt.<\/li>\n<li>Erweiterte Funktionen wie Unterst\u00fctzung f\u00fcr scaled_mm v2 und AOTriton scaled_dot_product_attention.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Unterst\u00fctzung von Intel-GPU:<\/p>\n<ul>\n<li>Neue Torch XPU APIs f\u00fcr Intel wurden implementiert.<\/li>\n<li>Unterst\u00fctzung zus\u00e4tzlicher ATen-Operatoren.<\/li>\n<li>Leistungsoptimierung f\u00fcr Intel-GPUs.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Unterst\u00fctzung von NVIDIA CUDA:<\/p>\n<ul>\n<li>Erweiterte M\u00f6glichkeiten zur Erstellung von Template-Kernen.<\/li>\n<li>Verbesserte Unterst\u00fctzung f\u00fcr CUDA 13.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Unterst\u00fctzung f\u00fcr Python 3.14 f\u00fcr torch.compile() sowie experimentelle Unterst\u00fctzung f\u00fcr die Ausf\u00fchrung von Python 3.14 ohne globale Interpreter-Sperre (free-threaded).<\/p>\n<\/li>\n<li>\n<p>Reduzierung der Overhead-Kosten beim Starten von Kernen durch horizontale Zusammenf\u00fchrung von Kombi-Kernen im Torch Inductor.<\/p>\n<\/li>\n<\/ul>\n<p> <noindex><noindex><\/p>\n<p>Eine vollst\u00e4ndige Liste der \u00c4nderungen finden Sie auf der <a rel=\"nofollow\" href=\"https:\/\/github.com\/pytorch\/pytorch\/releases\/tag\/v2.10.0\">github.<\/a><\/p>\n<p><\/noindex><\/noindex> <noindex><\/p>\n<p>Fertige Optionen, die f\u00fcr verschiedene GPUs, Betriebssysteme und Sprachen (Python\/C++\/Java) kompiliert wurden, sind auf  <a rel=\"nofollow\" href=\"https:\/\/pytorch.org\/get-started\/locally\/\">der Pytorch-Website aufgef\u00fchrt.<\/a><\/p>\n<p><\/noindex><\/p>\n<p>Quelle: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.linux.org.ru\/news\/development\/18201433\">linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>PyTorch \u2014 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u2014 \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u0441\u044f \u0434\u043e \u0432\u0435\u0440\u0441\u0438\u0438 2.10. C\u0440\u0435\u0434\u0438 \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u043d\u043e\u0432\u0448\u0435\u0441\u0442\u0432 \u043c\u043e\u0436\u043d\u043e \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c: \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 AMD ROCm: \u0412\u0432\u0435\u0434\u0435\u043d\u0430 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u0441\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 GEMM. \u0423\u043b\u0443\u0447\u0448\u0435\u043d\u0430 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 ROCm \u0434\u043b\u044f Windows. \u0414\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u044b \u043d\u043e\u0432\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 GPU GFX1150\/GFX1151 (\u0441\u0435\u0440\u0438\u044f AI 300) \u0432 \u0441\u043f\u0438\u0441\u043a\u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438 hipblaslt. \u0420\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u044b \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 scaled_mm v2 \u0438 AOTriton scaled_dot_product_attention. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 GPU Intel: [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-154671","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"PyTorch \u2014 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u2014 \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u0441\u044f \u0434\u043e \u0432\u0435\u0440\u0441\u0438\u0438 2.10. 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Zu den wichtigsten Neuerungen geh\u00f6ren: Unterst\u00fctzung von AMD ROCm: Es wurde Unterst\u00fctzung f\u00fcr gruppierte GEMM eingef\u00fchrt. Die ROCm-Unterst\u00fctzung f\u00fcr Windows wurde verbessert. Neue GPU-Modelle GFX1150\/GFX1151 (Serie AI 300) wurden in die Unterst\u00fctzungsliste von hipblaslt aufgenommen. Die Funktionalit\u00e4ten wurden erweitert, einschlie\u00dflich Unterst\u00fctzung f\u00fcr scaled_mm v2 und AOTriton scaled_dot_product_attention. Unterst\u00fctzung f\u00fcr Intel-GPUs:","canonical_url":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/vyshel-pytorch-2-10","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"de_DE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u0412\u044b\u0448\u0435\u043b PyTorch 2.10 | ProHoster","og:description":"PyTorch \u2014 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u2014 \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u0441\u044f \u0434\u043e \u0432\u0435\u0440\u0441\u0438\u0438 2.10. 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