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Disponible en 28 langues." > <label id="p-lang-btn-label" for="p-lang-btn-checkbox" class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--action-progressive mw-portlet-lang-heading-28" aria-hidden="true" ><span class="vector-icon mw-ui-icon-language-progressive mw-ui-icon-wikimedia-language-progressive"></span> <span class="vector-dropdown-label-text">28 langues</span> </label> <div class="vector-dropdown-content"> <div class="vector-menu-content"> <ul class="vector-menu-content-list"> <li class="interlanguage-link interwiki-ar mw-list-item"><a href="https://ar.wikipedia.org/wiki/%D8%A8%D8%A7%D9%8A_%D8%AA%D9%88%D8%B1%D8%B4" title="باي تورش – arabe" lang="ar" hreflang="ar" data-title="باي تورش" data-language-autonym="العربية" data-language-local-name="arabe" class="interlanguage-link-target"><span>العربية</span></a></li><li class="interlanguage-link interwiki-bn mw-list-item"><a href="https://bn.wikipedia.org/wiki/%E0%A6%AA%E0%A6%BE%E0%A6%87%E0%A6%9F%E0%A6%B0%E0%A7%8D%E0%A6%9A" title="পাইটর্চ – bengali" lang="bn" hreflang="bn" data-title="পাইটর্চ" data-language-autonym="বাংলা" data-language-local-name="bengali" class="interlanguage-link-target"><span>বাংলা</span></a></li><li class="interlanguage-link interwiki-ca mw-list-item"><a href="https://ca.wikipedia.org/wiki/PyTorch" title="PyTorch – catalan" lang="ca" hreflang="ca" data-title="PyTorch" data-language-autonym="Català" data-language-local-name="catalan" class="interlanguage-link-target"><span>Català</span></a></li><li class="interlanguage-link interwiki-de mw-list-item"><a href="https://de.wikipedia.org/wiki/PyTorch" title="PyTorch – allemand" lang="de" hreflang="de" data-title="PyTorch" data-language-autonym="Deutsch" data-language-local-name="allemand" class="interlanguage-link-target"><span>Deutsch</span></a></li><li class="interlanguage-link interwiki-en mw-list-item"><a href="https://en.wikipedia.org/wiki/PyTorch" title="PyTorch – anglais" lang="en" hreflang="en" data-title="PyTorch" data-language-autonym="English" data-language-local-name="anglais" class="interlanguage-link-target"><span>English</span></a></li><li class="interlanguage-link interwiki-es mw-list-item"><a href="https://es.wikipedia.org/wiki/PyTorch" title="PyTorch – espagnol" lang="es" hreflang="es" data-title="PyTorch" data-language-autonym="Español" data-language-local-name="espagnol" class="interlanguage-link-target"><span>Español</span></a></li><li class="interlanguage-link interwiki-eu mw-list-item"><a href="https://eu.wikipedia.org/wiki/PyTorch" title="PyTorch – basque" lang="eu" hreflang="eu" data-title="PyTorch" data-language-autonym="Euskara" data-language-local-name="basque" class="interlanguage-link-target"><span>Euskara</span></a></li><li class="interlanguage-link interwiki-fa mw-list-item"><a href="https://fa.wikipedia.org/wiki/%D9%BE%D8%A7%DB%8C%E2%80%8C%D8%AA%D9%88%D8%B1%DA%86" title="پای‌تورچ – persan" lang="fa" hreflang="fa" data-title="پای‌تورچ" data-language-autonym="فارسی" data-language-local-name="persan" class="interlanguage-link-target"><span>فارسی</span></a></li><li class="interlanguage-link interwiki-fi mw-list-item"><a href="https://fi.wikipedia.org/wiki/PyTorch" title="PyTorch – finnois" lang="fi" hreflang="fi" data-title="PyTorch" data-language-autonym="Suomi" data-language-local-name="finnois" class="interlanguage-link-target"><span>Suomi</span></a></li><li class="interlanguage-link interwiki-he mw-list-item"><a href="https://he.wikipedia.org/wiki/PyTorch" title="PyTorch – hébreu" lang="he" hreflang="he" data-title="PyTorch" data-language-autonym="עברית" data-language-local-name="hébreu" class="interlanguage-link-target"><span>עברית</span></a></li><li class="interlanguage-link interwiki-hi mw-list-item"><a href="https://hi.wikipedia.org/wiki/%E0%A4%AA%E0%A4%BE%E0%A4%87%E0%A4%9F%E0%A5%8C%E0%A4%B0%E0%A5%8D%E0%A4%9A" title="पाइटौर्च – hindi" lang="hi" hreflang="hi" data-title="पाइटौर्च" data-language-autonym="हिन्दी" data-language-local-name="hindi" class="interlanguage-link-target"><span>हिन्दी</span></a></li><li class="interlanguage-link interwiki-id mw-list-item"><a href="https://id.wikipedia.org/wiki/PyTorch" title="PyTorch – indonésien" lang="id" hreflang="id" data-title="PyTorch" data-language-autonym="Bahasa Indonesia" data-language-local-name="indonésien" class="interlanguage-link-target"><span>Bahasa Indonesia</span></a></li><li class="interlanguage-link interwiki-ja mw-list-item"><a href="https://ja.wikipedia.org/wiki/PyTorch" title="PyTorch – japonais" lang="ja" hreflang="ja" data-title="PyTorch" data-language-autonym="日本語" data-language-local-name="japonais" class="interlanguage-link-target"><span>日本語</span></a></li><li class="interlanguage-link interwiki-ko mw-list-item"><a href="https://ko.wikipedia.org/wiki/PyTorch" title="PyTorch – coréen" lang="ko" hreflang="ko" data-title="PyTorch" data-language-autonym="한국어" data-language-local-name="coréen" class="interlanguage-link-target"><span>한국어</span></a></li><li class="interlanguage-link interwiki-ml mw-list-item"><a href="https://ml.wikipedia.org/wiki/%E0%B4%AA%E0%B5%88%E0%B4%9F%E0%B5%8B%E0%B5%BC%E0%B4%9A%E0%B5%8D%E0%B4%9A%E0%B5%8D" title="പൈടോർച്ച് – malayalam" lang="ml" hreflang="ml" data-title="പൈടോർച്ച്" data-language-autonym="മലയാളം" data-language-local-name="malayalam" class="interlanguage-link-target"><span>മലയാളം</span></a></li><li class="interlanguage-link interwiki-ms mw-list-item"><a href="https://ms.wikipedia.org/wiki/PyTorch" title="PyTorch – malais" lang="ms" hreflang="ms" data-title="PyTorch" data-language-autonym="Bahasa Melayu" data-language-local-name="malais" class="interlanguage-link-target"><span>Bahasa Melayu</span></a></li><li class="interlanguage-link interwiki-pl mw-list-item"><a href="https://pl.wikipedia.org/wiki/PyTorch" title="PyTorch – polonais" lang="pl" hreflang="pl" data-title="PyTorch" data-language-autonym="Polski" data-language-local-name="polonais" class="interlanguage-link-target"><span>Polski</span></a></li><li class="interlanguage-link interwiki-pt mw-list-item"><a href="https://pt.wikipedia.org/wiki/PyTorch" title="PyTorch – portugais" lang="pt" hreflang="pt" data-title="PyTorch" data-language-autonym="Português" data-language-local-name="portugais" class="interlanguage-link-target"><span>Português</span></a></li><li class="interlanguage-link interwiki-qu mw-list-item"><a href="https://qu.wikipedia.org/wiki/PyTorch" title="PyTorch – quechua" lang="qu" hreflang="qu" data-title="PyTorch" data-language-autonym="Runa Simi" data-language-local-name="quechua" class="interlanguage-link-target"><span>Runa Simi</span></a></li><li class="interlanguage-link interwiki-ru mw-list-item"><a href="https://ru.wikipedia.org/wiki/PyTorch" title="PyTorch – russe" lang="ru" hreflang="ru" data-title="PyTorch" data-language-autonym="Русский" data-language-local-name="russe" class="interlanguage-link-target"><span>Русский</span></a></li><li class="interlanguage-link interwiki-sq mw-list-item"><a href="https://sq.wikipedia.org/wiki/PyTorch" title="PyTorch – albanais" lang="sq" hreflang="sq" data-title="PyTorch" data-language-autonym="Shqip" data-language-local-name="albanais" class="interlanguage-link-target"><span>Shqip</span></a></li><li class="interlanguage-link interwiki-sv mw-list-item"><a href="https://sv.wikipedia.org/wiki/PyTorch" title="PyTorch – suédois" lang="sv" hreflang="sv" data-title="PyTorch" data-language-autonym="Svenska" data-language-local-name="suédois" class="interlanguage-link-target"><span>Svenska</span></a></li><li class="interlanguage-link interwiki-th mw-list-item"><a href="https://th.wikipedia.org/wiki/PyTorch" title="PyTorch – thaï" lang="th" hreflang="th" data-title="PyTorch" data-language-autonym="ไทย" data-language-local-name="thaï" class="interlanguage-link-target"><span>ไทย</span></a></li><li class="interlanguage-link interwiki-tr mw-list-item"><a href="https://tr.wikipedia.org/wiki/PyTorch" title="PyTorch – turc" lang="tr" hreflang="tr" data-title="PyTorch" data-language-autonym="Türkçe" data-language-local-name="turc" class="interlanguage-link-target"><span>Türkçe</span></a></li><li class="interlanguage-link interwiki-uk mw-list-item"><a href="https://uk.wikipedia.org/wiki/PyTorch" title="PyTorch – ukrainien" lang="uk" hreflang="uk" data-title="PyTorch" data-language-autonym="Українська" data-language-local-name="ukrainien" class="interlanguage-link-target"><span>Українська</span></a></li><li class="interlanguage-link interwiki-vi mw-list-item"><a href="https://vi.wikipedia.org/wiki/PyTorch" title="PyTorch – vietnamien" lang="vi" hreflang="vi" data-title="PyTorch" data-language-autonym="Tiếng Việt" data-language-local-name="vietnamien" class="interlanguage-link-target"><span>Tiếng Việt</span></a></li><li class="interlanguage-link interwiki-zh mw-list-item"><a href="https://zh.wikipedia.org/wiki/PyTorch" title="PyTorch – chinois" lang="zh" hreflang="zh" data-title="PyTorch" data-language-autonym="中文" data-language-local-name="chinois" class="interlanguage-link-target"><span>中文</span></a></li><li class="interlanguage-link interwiki-zh-yue mw-list-item"><a href="https://zh-yue.wikipedia.org/wiki/PyTorch" title="PyTorch – cantonais" lang="yue" hreflang="yue" data-title="PyTorch" data-language-autonym="粵語" data-language-local-name="cantonais" class="interlanguage-link-target"><span>粵語</span></a></li> </ul> <div class="after-portlet after-portlet-lang"><span class="wb-langlinks-edit wb-langlinks-link"><a href="https://www.wikidata.org/wiki/Special:EntityPage/Q47509047#sitelinks-wikipedia" title="Modifier les liens interlangues" class="wbc-editpage">Modifier les liens</a></span></div> </div> </div> </div> </header> <div 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</div> </nav> </div> </div> <div id="bodyContent" class="vector-body" aria-labelledby="firstHeading" data-mw-ve-target-container> <div class="vector-body-before-content"> <div class="mw-indicators"> </div> <div id="siteSub" class="noprint">Un article de Wikipédia, l'encyclopédie libre.</div> </div> <div id="contentSub"><div id="mw-content-subtitle"></div></div> <div id="mw-content-text" class="mw-body-content"><div class="mw-content-ltr mw-parser-output" lang="fr" dir="ltr"><div class="infobox_v3 infobox infobox--frwiki noarchive" style="width:260px"> <div class="entete icon informatique" style="color: #000000;"><style data-mw-deduplicate="TemplateStyles:r188801372">.mw-parser-output .entete.informatique{background-image:url("//upload.wikimedia.org/wikipedia/commons/a/ae/Picto-infoboxinfo.png")}</style> <div>PyTorch</div> </div> <div class="images"><span class="mw-default-size" typeof="mw:File/Frameless"><a href="/wiki/Fichier:Pytorch_logo.png" class="mw-file-description"><img alt="Description de l'image Pytorch logo.png." src="//upload.wikimedia.org/wikipedia/commons/thumb/9/96/Pytorch_logo.png/120px-Pytorch_logo.png" decoding="async" width="120" height="30" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/9/96/Pytorch_logo.png/250px-Pytorch_logo.png 1.5x" data-file-width="636" data-file-height="157" /></a></span> </div> <p class="mw-empty-elt"> </p> <table><caption style="color:#000000;">Informations</caption> <tbody><tr> <th scope="row">Créateur</th> <td> Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan</td> </tr> <tr> <th scope="row"> <a href="/wiki/Version_d%27un_logiciel" title="Version d'un logiciel">Dernière version</a> </th> <td> <span class="wd_p348">2.6.0 (<time class="nowrap" datetime="2025-01-29" data-sort-value="2025-01-29">29 janvier 2025</time>)<sup id="cite_ref-wikidata-50d0c3ea4aa08f186b93b0c0a733aa580b300238_1-0" class="reference"><a href="#cite_note-wikidata-50d0c3ea4aa08f186b93b0c0a733aa580b300238-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P348" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"><a href="/wiki/D%C3%A9p%C3%B4t_(informatique)" title="Dépôt (informatique)">Dépôt</a></th> <td> <span class="wd_p1324"><a rel="nofollow" class="external text" href="https://github.com/pytorch/pytorch">github.com/pytorch/pytorch</a><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P1324" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"> <a href="/wiki/Langage_de_programmation" title="Langage de programmation">Écrit en</a> </th> <td> <span class="wd_p277"><a href="/wiki/C%2B%2B" title="C++">C++</a>, <a href="/wiki/Python_(langage)" title="Python (langage)">Python</a>, <a href="/wiki/C_(langage)" title="C (langage)">C</a> et <a href="/wiki/Compute_Unified_Device_Architecture" title="Compute Unified Device Architecture">Compute Unified Device Architecture</a><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P277" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"><a href="/wiki/Syst%C3%A8me_d%27exploitation" title="Système d'exploitation">Système d'exploitation</a></th> <td> <span class="wd_p306"><a href="/wiki/Linux" title="Linux">Linux</a>, <a href="/wiki/MacOS" title="MacOS">macOS</a> et <a href="/wiki/Microsoft_Windows" title="Microsoft Windows">Microsoft Windows</a><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P306" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"> Type </th> <td> <span class="wd_p31"><a href="/wiki/Biblioth%C3%A8que_logicielle" title="Bibliothèque logicielle">Bibliothèque logicielle</a><br />Bibliothèque logicielle Python <small>(<a href="https://www.wikidata.org/wiki/Q29642950" class="extiw" title="d:Q29642950"><span class="indicateur-langue" title="Voir l'élément Wikidata correspondant">d</span></a>)</small><br />Structure logicielle d'apprentissage automatique <small>(<a href="https://www.wikidata.org/wiki/Q21169670" class="extiw" title="d:Q21169670"><span class="indicateur-langue" title="Voir l'élément Wikidata correspondant">d</span></a>)</small><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P31" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"><a href="/wiki/Licence_de_logiciel" title="Licence de logiciel">Licence</a></th> <td> <span class="wd_p275"><a href="/wiki/Licence_BSD" title="Licence BSD">BSD 3-clauses</a><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P275" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"><a href="/wiki/Documentation_logicielle" title="Documentation logicielle">Documentation</a></th> <td> <span class="wd_p2078"><a rel="nofollow" class="external text" href="https://pytorch.org/docs/stable/index.html">pytorch.org/docs/stable/index.html</a><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P2078" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> <tr> <th scope="row"><a href="/wiki/Site_web" title="Site web">Site web</a></th> <td> <span class="wd_p856"><a rel="nofollow" class="external text" href="https://pytorch.org">pytorch.org</a><span class="noprint wikidata-linkback skin-invert"><span class="mw-valign-baseline noviewer" typeof="mw:File"><a href="https://www.wikidata.org/wiki/Q47509047?uselang=fr#P856" title="Voir et modifier les données sur Wikidata"><img alt="Voir et modifier les données sur Wikidata" src="//upload.wikimedia.org/wikipedia/commons/thumb/7/73/Blue_pencil.svg/20px-Blue_pencil.svg.png" decoding="async" width="10" height="10" class="mw-file-element" data-file-width="600" data-file-height="600" /></a></span></span></span></td> </tr> </tbody></table> <p class="mw-empty-elt"> </p> <p class="navbar bordered noprint" style=""><span class="plainlinks"><a class="external text" href="https://fr.wikipedia.org/w/index.php?title=PyTorch&veaction=edit&section=0">modifier</a> - <a class="external text" href="https://fr.wikipedia.org/w/index.php?title=PyTorch&action=edit&section=0">modifier le code</a> - <a href="https://www.wikidata.org/wiki/Special:ItemByTitle/frwiki/PyTorch" class="extiw" title="d:Special:ItemByTitle/frwiki/PyTorch">voir Wikidata</a> <a href="/wiki/Aide:Infobox_Wikidata" title="Aide:Infobox Wikidata">(aide)</a></span> <span typeof="mw:File"><a href="/wiki/Mod%C3%A8le:Infobox_Logiciel" title="Consultez la documentation du modèle"><img alt="" src="//upload.wikimedia.org/wikipedia/commons/thumb/3/38/Info_Simple.svg/12px-Info_Simple.svg.png" decoding="async" width="12" height="12" class="mw-file-element" srcset="//upload.wikimedia.org/wikipedia/commons/thumb/3/38/Info_Simple.svg/18px-Info_Simple.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/3/38/Info_Simple.svg/24px-Info_Simple.svg.png 2x" data-file-width="512" data-file-height="512" /></a></span></p></div> <p><b>PyTorch</b> est une <a href="/wiki/Biblioth%C3%A8que_logicielle" title="Bibliothèque logicielle">bibliothèque logicielle</a> <a href="/wiki/Python_(langage)" title="Python (langage)">Python</a> open source d'<a href="/wiki/Apprentissage_automatique" title="Apprentissage automatique">apprentissage automatique</a> qui s'appuie sur <a href="/w/index.php?title=Torch_(logiciel)&action=edit&redlink=1" class="new" title="Torch (logiciel) (page inexistante)">Torch</a> <a href="https://en.wikipedia.org/wiki/Torch_(machine_learning)" class="extiw" title="en:Torch (machine learning)"><span class="indicateur-langue" title="Article en anglais : « Torch (machine learning) »">(en)</span></a> développée par <a href="/wiki/Meta_(entreprise)" title="Meta (entreprise)">Meta</a><sup id="cite_ref-2" class="reference"><a href="#cite_note-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup>. </p><p>PyTorch est gouverné par la PyTorch Foundation<sup id="cite_ref-3" class="reference"><a href="#cite_note-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup>. </p><p>PyTorch permet d'effectuer les calculs tensoriels nécessaires notamment pour l'apprentissage profond (<i>deep learning</i>). Ces calculs sont optimisés et effectués soit par le processeur (CPU) soit, lorsque c'est possible, par un processeur graphique (<a href="/wiki/Processeur_graphique" title="Processeur graphique">GPU</a>) supportant <a href="/wiki/CUDA" class="mw-redirect" title="CUDA">CUDA</a>. PyTorch a été créé par les <a href="/wiki/Facebook_Artificial_Intelligence_Research" title="Facebook Artificial Intelligence Research">équipes de recherche de Facebook</a>, précédées par les travaux de recherche de Ronan Collobert au cœur de l'équipe de <a href="/wiki/Samy_Bengio" title="Samy Bengio">Samy Bengio</a><sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup> à l'<a href="/wiki/Institut_de_recherche_Idiap" title="Institut de recherche Idiap">IDIAP</a>. </p><p>PyTorch se présente sous les traits d'un dérivé d'un logiciel antérieur, Torch, dont l'utilisation nécessitait la maîtrise du langage <a href="/wiki/Lua" title="Lua">Lua</a>. PyTorch est désormais indépendant de Lua et se programme en Python. </p><p>PyTorch permet, entre autres, de: </p> <ul><li>manipuler des <a href="/wiki/Tenseur" title="Tenseur">tenseurs</a> (tableaux multidimensionnels), de les échanger facilement avec <a href="/wiki/NumPy" title="NumPy">Numpy</a> et d'effectuer des calculs efficaces sur CPU ou GPU (par exemple, des produits de matrices ou des convolutions);</li> <li>calculer des <a href="/wiki/Gradient" title="Gradient">gradients</a> pour appliquer facilement des algorithmes d'optimisation par <a href="/wiki/Algorithme_du_gradient" title="Algorithme du gradient">descente de gradient</a>. PyTorch utilise la bibliothèque autograd<sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup>.</li></ul> <meta property="mw:PageProp/toc" /> <div class="mw-heading mw-heading2"><h2 id="Tenseurs_PyTorch">Tenseurs PyTorch</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=PyTorch&veaction=edit&section=1" title="Modifier la section : Tenseurs PyTorch" class="mw-editsection-visualeditor"><span>modifier</span></a><span class="mw-editsection-divider"> | </span><a href="/w/index.php?title=PyTorch&action=edit&section=1" title="Modifier le code source de la section : Tenseurs PyTorch"><span>modifier le code</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>PyTorch définit une classe appelée Tensor (torch.Tensor) pour stocker les données et opérer sur des tableaux rectangulaires multidimensionnels homogènes de nombres. Les tenseurs PyTorch sont similaires aux tableaux <a href="/wiki/NumPy" title="NumPy">NumPy</a>, mais peuvent également être utilisés sur un <a href="/wiki/Processeur_graphique" title="Processeur graphique">GPU</a> <a href="/wiki/Nvidia" title="Nvidia">Nvidia</a> compatible CUDA. PyTorch prend en charge divers sous-types de Tensors<sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup>. </p> <div class="mw-heading mw-heading2"><h2 id="Historique">Historique</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=PyTorch&veaction=edit&section=2" title="Modifier la section : Historique" class="mw-editsection-visualeditor"><span>modifier</span></a><span class="mw-editsection-divider"> | </span><a href="/w/index.php?title=PyTorch&action=edit&section=2" title="Modifier le code source de la section : Historique"><span>modifier le code</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>En <time class="nowrap" datetime="2018-03" data-sort-value="2018-03">mars 2018</time> <a href="/w/index.php?title=Caffe2&action=edit&redlink=1" class="new" title="Caffe2 (page inexistante)">Caffe2</a> <a href="https://en.wikipedia.org/wiki/Caffe_(software)" class="extiw" title="en:Caffe (software)"><span class="indicateur-langue" title="Article en anglais : « Caffe (software) »">(en)</span></a> fusionne avec PyTorch <sup id="cite_ref-7" class="reference"><a href="#cite_note-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup>. PyTorch rejoint la <a href="/wiki/Fondation_Linux" title="Fondation Linux">Fondation Linux</a> en septembre 2022<sup id="cite_ref-8" class="reference"><a href="#cite_note-8"><span class="cite-bracket">[</span>8<span class="cite-bracket">]</span></a></sup>. </p> <div class="mw-heading mw-heading2"><h2 id="Exemple">Exemple</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=PyTorch&veaction=edit&section=3" title="Modifier la section : Exemple" class="mw-editsection-visualeditor"><span>modifier</span></a><span class="mw-editsection-divider"> | </span><a href="/w/index.php?title=PyTorch&action=edit&section=3" title="Modifier le code source de la section : Exemple"><span>modifier le code</span></a><span class="mw-editsection-bracket">]</span></span></div> <p>Le programme suivant montre la fonctionnalité de la bibliothèque avec un exemple simple<sup id="cite_ref-9" class="reference"><a href="#cite_note-9"><span class="cite-bracket">[</span>9<span class="cite-bracket">]</span></a></sup> : </p> <div class="mw-highlight mw-highlight-lang-python mw-content-ltr mw-highlight-lines" dir="ltr"><pre><span></span><span class="linenos" data-line="1"></span><span class="kn">import</span> <span class="nn">torch</span> <span class="linenos" data-line="2"></span><span class="n">dtype</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">float</span> <span class="linenos" data-line="3"></span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">"cpu"</span><span class="p">)</span> <span class="c1"># Tous les calculs seront exécutés sur le processeur</span> <span class="linenos" data-line="4"></span><span class="c1"># device = torch.device("cuda:0") # Tous les calculs seront exécutés sur la carte graphique</span> <span class="linenos" data-line="5"></span> <span class="linenos" data-line="6"></span><span class="c1"># Création d'un tenseur rempli avec des nombres aléatoires</span> <span class="linenos" data-line="7"></span><span class="n">a</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span> <span class="linenos" data-line="8"></span><span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="c1"># Affichage du tenseur a</span> <span class="linenos" data-line="9"></span><span class="c1"># Output: tensor([[-1.1884, 0.8498, -1.7129],</span> <span class="linenos" data-line="10"></span><span class="c1"># [-0.8816, 0.1944, 0.5847]])</span> <span class="linenos" data-line="11"></span> <span class="linenos" data-line="12"></span><span class="c1"># Création d'un tenseur rempli avec des nombres aléatoires</span> <span class="linenos" data-line="13"></span><span class="n">b</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span> <span class="linenos" data-line="14"></span><span class="nb">print</span><span class="p">(</span><span class="n">b</span><span class="p">)</span> <span class="c1"># Affichage du tenseur b</span> <span class="linenos" data-line="15"></span><span class="c1"># Output: tensor([[ 0.7178, -0.8453, -1.3403],</span> <span class="linenos" data-line="16"></span><span class="c1"># [ 1.3262, 1.1512, -1.7070]])</span> <span class="linenos" data-line="17"></span> <span class="linenos" data-line="18"></span><span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="o">*</span><span class="n">b</span><span class="p">)</span> <span class="c1"># Affichage du produit (terme à terme) des deux tenseurs</span> <span class="linenos" data-line="19"></span><span class="c1"># Output: tensor([[-0.8530, -0.7183, 2.58],</span> <span class="linenos" data-line="20"></span><span class="c1"># [-1.1692, 0.2238, -0.9981]])</span> <span class="linenos" data-line="21"></span> <span class="linenos" data-line="22"></span><span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">sum</span><span class="p">())</span> <span class="c1"># Affichage de la somme de tous les éléments du tenseur a</span> <span class="linenos" data-line="23"></span><span class="c1"># Output: tensor(-2.1540)</span> <span class="linenos" data-line="24"></span> <span class="linenos" data-line="25"></span><span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">])</span> <span class="c1"># Affichage de l'élément de la 2ème rangée et de la 3ème colonne de a</span> <span class="linenos" data-line="26"></span><span class="c1"># Output: tensor(0.5847)</span> <span class="linenos" data-line="27"></span> <span class="linenos" data-line="28"></span><span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">min</span><span class="p">())</span> <span class="c1"># Affichage de la valeur minimale du tenseur a</span> <span class="linenos" data-line="29"></span><span class="c1"># Output: tensor(-1.7129)</span> </pre></div> <div class="mw-heading mw-heading2"><h2 id="Annexes">Annexes</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=PyTorch&veaction=edit&section=4" title="Modifier la section : Annexes" class="mw-editsection-visualeditor"><span>modifier</span></a><span class="mw-editsection-divider"> | </span><a href="/w/index.php?title=PyTorch&action=edit&section=4" title="Modifier le code source de la section : Annexes"><span>modifier le code</span></a><span class="mw-editsection-bracket">]</span></span></div> <ul><li><abbr class="abbr indicateur-langue" title="Langue : anglais">(en)</abbr> <a href="https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software" class="extiw" title="en:Comparison of deep learning software">Comparison of deep learning software</a></li></ul> <div class="mw-heading mw-heading2"><h2 id="Notes_et_références"><span id="Notes_et_r.C3.A9f.C3.A9rences"></span>Notes et références</h2><span class="mw-editsection"><span class="mw-editsection-bracket">[</span><a href="/w/index.php?title=PyTorch&veaction=edit&section=5" title="Modifier la section : Notes et références" class="mw-editsection-visualeditor"><span>modifier</span></a><span class="mw-editsection-divider"> | </span><a href="/w/index.php?title=PyTorch&action=edit&section=5" title="Modifier le code source de la section : Notes et références"><span>modifier le code</span></a><span class="mw-editsection-bracket">]</span></span></div> <div class="references-small decimal" style=""><div class="mw-references-wrap"><ol class="references"> <li id="cite_note-wikidata-50d0c3ea4aa08f186b93b0c0a733aa580b300238-1"><span class="mw-cite-backlink"><a href="#cite_ref-wikidata-50d0c3ea4aa08f186b93b0c0a733aa580b300238_1-0">↑</a> </span><span class="reference-text"><span class="ouvrage">« <a rel="nofollow" class="external text" href="https://github.com/pytorch/pytorch/releases/tag/v2.6.0"><cite style="font-style:normal;"><span class="lang-en" lang="en">PyTorch 2.6.0 Release</span></cite></a> », <time class="nowrap" datetime="2025-01-29" data-sort-value="2025-01-29">29 janvier 2025</time> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2025-02-02" data-sort-value="2025-02-02">2 février 2025</time>)</small></span></span> </li> <li id="cite_note-2"><span class="mw-cite-backlink"><a href="#cite_ref-2">↑</a> </span><span class="reference-text"><span class="ouvrage" id="Bergounhoux2018"><span class="ouvrage" id="Julien_Bergounhoux2018">Julien <span class="nom_auteur">Bergounhoux</span>, « <cite style="font-style:normal">Avec PyTorch 1.0, Facebook cherche à créer la boite à outil ultime pour l'intelligence artificielle</cite> », <i><a href="/wiki/L%27Usine_digitale" title="L'Usine digitale">L'Usine digitale</a></i>,‎ <time class="nowrap" datetime="2018-05-04" data-sort-value="2018-05-04">4 mai 2018</time> <small style="line-height:1em;">(<a rel="nofollow" class="external text" href="https://www.usine-digitale.fr/article/avec-pytorch-1-0-facebook-cherche-a-creer-la-boite-a-outil-ultime-pour-l-intelligence-artificielle.N688959">lire en ligne</a>)</small><span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Avec+PyTorch+1.0%2C+Facebook+cherche+%C3%A0+cr%C3%A9er+la+boite+%C3%A0+outil+ultime+pour+l%27intelligence+artificielle&rft.jtitle=L%27Usine+digitale&rft.aulast=Bergounhoux&rft.aufirst=Julien&rft.date=2018-05-04&rft_id=https%3A%2F%2Fwww.usine-digitale.fr%2Farticle%2Favec-pytorch-1-0-facebook-cherche-a-creer-la-boite-a-outil-ultime-pour-l-intelligence-artificielle.N688959&rfr_id=info%3Asid%2Ffr.wikipedia.org%3APyTorch"></span></span></span></span> </li> <li id="cite_note-3"><span class="mw-cite-backlink"><a href="#cite_ref-3">↑</a> </span><span class="reference-text"><span class="ouvrage"><abbr class="abbr indicateur-langue" title="Langue : anglais">(en)</abbr> « <a rel="nofollow" class="external text" href="https://www.pytorch.org/"><cite style="font-style:normal;" lang="en">PyTorch</cite></a> », sur <span class="italique">www.pytorch.org</span> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2022-09-13" data-sort-value="2022-09-13">13 septembre 2022</time>)</small></span></span> </li> <li id="cite_note-4"><span class="mw-cite-backlink"><a href="#cite_ref-4">↑</a> </span><span class="reference-text"><span class="ouvrage" id="2002"><abbr class="abbr indicateur-langue" title="Langue : anglais">(en)</abbr> « <a rel="nofollow" class="external text" href="http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=CBB0C8A5FE34F6D6DAFF997F6B6A205A?doi=10.1.1.8.9850&rep=rep1&type=pdf"><cite style="font-style:normal;" lang="en">Torch: A Modular Machine Learning Software Library</cite></a> », sur <span class="italique">citeseerx.ist.psu.edu</span>, <time class="nowrap" datetime="2002-10-30" data-sort-value="2002-10-30">30 octobre 2002</time> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2018-12-24" data-sort-value="2018-12-24">24 décembre 2018</time>)</small></span></span> </li> <li id="cite_note-5"><span class="mw-cite-backlink"><a href="#cite_ref-5">↑</a> </span><span class="reference-text"><span class="ouvrage">« <a rel="nofollow" class="external text" href="https://pytorch.org/docs/stable/autograd.html"><cite style="font-style:normal;">Automatic differentiation package - torch.autograd — PyTorch master documentation</cite></a> », sur <span class="italique">pytorch.org</span> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2018-12-24" data-sort-value="2018-12-24">24 décembre 2018</time>)</small></span></span> </li> <li id="cite_note-6"><span class="mw-cite-backlink"><a href="#cite_ref-6">↑</a> </span><span class="reference-text"><span class="ouvrage" id="2018">« <a rel="nofollow" class="external text" href="https://www.analyticsvidhya.com/blog/2018/02/pytorch-tutorial/"><cite style="font-style:normal;">An Introduction to PyTorch – A Simple yet Powerful Deep Learning Library</cite></a> », sur <span class="italique">analyticsvidhya.com</span>, <time class="nowrap" datetime="2018-02-22" data-sort-value="2018-02-22">22 février 2018</time> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2018-06-11" data-sort-value="2018-06-11">11 juin 2018</time>)</small></span></span> </li> <li id="cite_note-7"><span class="mw-cite-backlink"><a href="#cite_ref-7">↑</a> </span><span class="reference-text"><span class="ouvrage" id="2018"><abbr class="abbr indicateur-langue" title="Langue : anglais">(en)</abbr> « <a rel="nofollow" class="external text" href="https://caffe2.ai/blog/2018/05/02/Caffe2_PyTorch_1_0.html"><cite style="font-style:normal;" lang="en">Caffe2 and PyTorch join forces to create a research + production platform</cite></a> » [« Caffe2 et PyTorch s'unissent pour créer une plateforme de recherche et de production »], sur <span class="italique">Official Caffe2 Blog</span>, <time class="nowrap" datetime="2018-05-02" data-sort-value="2018-05-02">2 mai 2018</time> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2024-05-17" data-sort-value="2024-05-17">17 mai 2024</time>)</small></span></span> </li> <li id="cite_note-8"><span class="mw-cite-backlink"><a href="#cite_ref-8">↑</a> </span><span class="reference-text"><span class="ouvrage" id="#LeBrief2022"><span class="nom_auteur">#LeBrief</span>, « <a rel="nofollow" class="external text" href="https://www.nextinpact.com/brief_article/meta-transfere-gouvernance-pytorch-a-linux-foundation"><cite style="font-style:normal;">Meta transfère la gouvernance de PyTorch à la Linux Foundation</cite></a> », sur <span class="italique"><a href="/wiki/Next_(site_web)" title="Next (site web)">nextinpact.com</a></span>, <time class="nowrap" datetime="2022-09-13" data-sort-value="2022-09-13">13 septembre 2022</time> <small style="line-height:1em;">(consulté le <time class="nowrap" datetime="2022-09-13" data-sort-value="2022-09-13">13 septembre 2022</time>)</small></span></span> </li> <li id="cite_note-9"><span class="mw-cite-backlink"><a href="#cite_ref-9">↑</a> </span><span class="reference-text"><span class="ouvrage" id="Howard,_Sylvain_Gugger2020"><span class="ouvrage" id="Jeremy_Howard,_Sylvain_Gugger2020">Jeremy Howard, Sylvain Gugger, <cite class="italique">Deep Learning for Coders with fastai and PyTorch</cite>, O'Reilly, <time>2020</time> <small style="line-height:1em;">(<a href="/wiki/International_Standard_Book_Number" title="International Standard Book Number">ISBN</a> <a href="/wiki/Sp%C3%A9cial:Ouvrages_de_r%C3%A9f%C3%A9rence/978-1492045526" title="Spécial:Ouvrages de référence/978-1492045526"><span class="nowrap">978-1492045526</span></a>, <a rel="nofollow" class="external text" href="https://python.engineering/deep-learning-for-coders-with-fastai-and-pytorch/">lire en ligne</a>)</small><span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Deep+Learning+for+Coders+with+fastai+and+PyTorch&rft.pub=O%27Reilly&rft.au=Jeremy+Howard%2C+Sylvain+Gugger&rft.date=2020&rft.isbn=978-1492045526&rft_id=https%3A%2F%2Fpython.engineering%2Fdeep-learning-for-coders-with-fastai-and-pytorch%2F&rfr_id=info%3Asid%2Ffr.wikipedia.org%3APyTorch"></span></span></span></span> </li> </ol></div> </div> <div class="navbox-container" style="clear:both;"> <table class="navbox collapsible noprint autocollapse" style=""> <tbody><tr><th class="navbox-title" colspan="2" style=""><div style="float:left; width:6em; text-align:left"><div class="noprint plainlinks nowrap tnavbar" style="padding:0; font-size:xx-small; color:var(--color-emphasized, #000000);"><a href="/wiki/Mod%C3%A8le:Palette_DeepLearning" title="Modèle:Palette 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