{"id":37092,"date":"2019-10-31T22:15:43","date_gmt":"2019-10-31T19:15:43","guid":{"rendered":"https:\/\/prohoster.info\/blog\/vyshel-pytorch-1-2-0\/"},"modified":"2019-10-31T22:15:43","modified_gmt":"2019-10-31T19:15:43","slug":"vyshel-pytorch-1-2-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/vyshel-pytorch-1-2-0","title":{"rendered":"Ilmus PyTorch 1.2.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>PyTorch&nbsp;&mdash; populaarne avatud raamistik masin\u00f5ppe jaoks on uuendatud versioonile 1.2.0. Uus v\u00e4ljaanne sisaldab \u00fcle 1900 paranduse, mis kattavad JIT, ONNX, jaotatud treeningre\u017eiimid ja j\u00f5udluse t\u00e4iustused.<\/p>\n<p>M\u00f5ned muudatused:<br \/>\n<noindex><\/p>\n<ul>\n<li> Uus TorchScript API <a rel=\"nofollow\" href=\"https:\/\/pytorch.org\/docs\/master\/jit.html#migrating-to-pytorch-1-2-recursive-scripting-api\">kaugelt sulgeda vahekaarte, mis on avatud teistel seadmetel.<\/a> on lihtne konverteerida nn.Module (sealhulgas alamoodulid ja meetodid, mida kutsutakse \u00fcles forward()) ScriptModule'iks.<\/noindex>\n<\/li>\n<li> Koos Microsoftiga on lisatud t\u00e4ielik tugi ONNX Opset versioonidele 7(v1.2), 8(v1.3), 9(v1.4) ja 10(v1.5). Lisaks saavad kasutajad n\u00fc\u00fcd registreerida oma s\u00fcmbolid kohandatud toimingute eksportimiseks ja m\u00e4\u00e4rata sisendi d\u00fcnaamilised suurused eksportimise ajal.\n<\/li>\n<li> Tensorboardi tugi <a rel=\"nofollow\" href=\"https:\/\/pytorch.org\/docs\/stable\/tensorboard.html\">ei ole enam<\/a> katse-alune.\n<\/li>\n<li> Lisatud nn.Transformer moodul, mis p\u00f5hineb artiklil <a rel=\"nofollow\" href=\"https:\/\/arxiv.org\/abs\/1706.03762\">Attention Is All You Need<\/a>.\n<\/li>\n<li> Arvukad t\u00e4iustused C++ API-s.\n<\/li>\n<\/ul>\n<p>Allikas: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"http:\/\/www.linux.org.ru\/news\/development\/15163877\">linux.org.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>PyTorch&nbsp;&mdash; \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u043e\u0442\u043a\u0440\u044b\u0442\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 \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u0441\u044f \u0434\u043e \u0432\u0435\u0440\u0441\u0438\u0438 1.2.0. \u041d\u043e\u0432\u044b\u0439 \u0440\u0435\u043b\u0438\u0437 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0432 \u0441\u0435\u0431\u044f \u0431\u043e\u043b\u0435\u0435 1900 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0445\u0432\u0430\u0442\u044b\u0432\u0430\u044e\u0442 JIT, ONNX, \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0435 \u0440\u0435\u0436\u0438\u043c\u044b \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0438 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438. \u041d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f: \u041d\u043e\u0432\u044b\u0439 TorchScript API \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043b\u0435\u0433\u043a\u043e \u0441\u043a\u043e\u043d\u0432\u0435\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c nn.Module (\u0432\u043a\u043b\u044e\u0447\u0430\u044f \u043f\u043e\u0434\u043c\u043e\u0434\u0443\u043b\u0438 \u0438 \u043c\u0435\u0442\u043e\u0434\u044b, \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u043c\u044b\u0435 \u0432 forward()) \u0432 ScriptModule. \u0421\u043e\u0432\u043c\u0435\u0441\u0442\u043d\u043e \u0441 Microsoft \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u0430 \u043f\u043e\u043b\u043d\u0430\u044f \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 ONNX Opset [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-37092","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"PyTorch \u2014 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0439 \u043e\u0442\u043a\u0440\u044b\u0442\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 \u043e\u0431\u043d\u043e\u0432\u0438\u043b\u0441\u044f \u0434\u043e \u0432\u0435\u0440\u0441\u0438\u0438 1.2.0.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta 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