CINXE.COM
Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch - Jetson Orin Nano - NVIDIA Developer Forums
<!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8"> <title>Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch - Jetson Orin Nano - NVIDIA Developer Forums</title> <meta name="description" content="I installed via SDK Manager JetPack 6.1 on a NVIDIA Orin Nano Development kit with 8GB RAM and 512GB M.2 SSD including CUDA runtime and CUDA SDK components Via miniconda I reated an environment with Python 3.10. Aft&hellip;"> <meta name="generator" content="Discourse 3.4.0.beta3-dev - https://github.com/discourse/discourse version d71016522e8d9bb21c20312388271f8f0dd53069"> <link rel="icon" type="image/png" href="https://global.discourse-cdn.com/nvidia/optimized/2X/0/0372ccc95874f71d7fbff64bbbff6f8c69dd850b_2_32x32.png"> <link rel="apple-touch-icon" type="image/png" href="https://global.discourse-cdn.com/nvidia/optimized/2X/8/819b2855e1f1f3249e77dc713405cf77d1eda57c_2_180x180.png"> <meta name="theme-color" media="all" content="#000000"> <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0, user-scalable=yes, viewport-fit=cover"> <link rel="canonical" href="https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735" /> <link rel="search" type="application/opensearchdescription+xml" href="https://forums.developer.nvidia.com/opensearch.xml" title="NVIDIA Developer Forums Search"> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/color_definitions_nvidia_4_13_b0e6a9bf93713cf1d1478e25b62f18833c3cf820.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" class="light-scheme"/> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/automation_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="automation" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/checklist_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="checklist" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-ai_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-ai" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-akismet_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-akismet" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-antivirus_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-antivirus" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-assign_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-assign" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-cakeday_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-cakeday" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-calendar_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-calendar" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-chat-integration_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-chat-integration" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-data-explorer_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-data-explorer" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-details_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-details" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-docs_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-docs" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-jira_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-jira" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-lazy-videos_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-lazy-videos" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-local-dates_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-local-dates" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-policy_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-policy" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-presence_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-presence" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-solved_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-solved" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-templates_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-templates" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-topic-voting_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-topic-voting" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-translator_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-translator" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-user-notes_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-user-notes" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-yearly-review_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-yearly-review" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/footnote_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="footnote" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/hosted-site_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="hosted-site" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/poll_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="poll" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/spoiler-alert_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="spoiler-alert" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-ai_desktop_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-ai_desktop" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-calendar_desktop_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-calendar_desktop" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/discourse-topic-voting_desktop_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="discourse-topic-voting_desktop" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/poll_desktop_a0eee66b08799ab07414e8b689b5f4dada707e91.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="poll_desktop" /> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_theme_11_d44f674dbebc6d04cb93320be0a0aa5b72e0d2d7.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop_theme" data-theme-id="11" data-theme-name="custom header links"/> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_theme_18_9a79ebc15ad3c4f807e85fe309e8959ee11d4f96.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop_theme" data-theme-id="18" data-theme-name="topic thumbnails"/> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_theme_19_fb9ac007701ff5ca6e7c095e97fa1b654e7756b3.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop_theme" data-theme-id="19" data-theme-name="versatile banner"/> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_theme_13_0af64655fecb6a9ed407080d18cfdc208ddbe8ec.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop_theme" data-theme-id="13" data-theme-name="discourse-nvidia-theme"/> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_theme_17_fa34540ca6989abe2302b4ea9d21a1ad1c16219e.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop_theme" data-theme-id="17" data-theme-name="fix bulk actions button focus"/> <link href="https://sea2.discourse-cdn.com/nvidia/stylesheets/desktop_theme_20_dcf048c51982d668d078dac82d8ac6c5d2966e55.css?__ws=forums.developer.nvidia.com" media="all" rel="stylesheet" data-target="desktop_theme" data-theme-id="20" data-theme-name="versatile banner adjustments"/> <script src="//assets.adobedtm.com/5d4962a43b79/76a76b0bb8ea/launch-7d434965ec64.min.js" async="" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script> <meta name="google-site-verification" content="If3jxgzZoS1XODkXDOo83AD2VzBqttpfA2TfyU7YQlk"> <script defer="" src="https://sea2.discourse-cdn.com/nvidia/theme-javascripts/dbd2b5fc7317c86b8d3bb000f99224d82134a5d8.js?__ws=forums.developer.nvidia.com" data-theme-id="13" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script> <script defer="" src="https://sea2.discourse-cdn.com/nvidia/theme-javascripts/dc40147ee1dbb3eacb2870c9212fe522658a046b.js?__ws=forums.developer.nvidia.com" data-theme-id="13" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script> <!-- OneTrust Cookies Consent Notice start for nvidia.com --> <script src="https://cdn.cookielaw.org/scripttemplates/otSDKStub.js" data-document-language="true" type="text/javascript" charset="UTF-8" data-domain-script="3e2b62ff-7ae7-4ac5-87c8-d5949ecafff5" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script> <!-- OneTrust Cookies Consent Notice end for nvidia.com --> <script type="text/javascript" src="https://images.nvidia.com/aem-dam/Solutions/ot-js/ot-custom.js" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script><script defer="" src="https://sea2.discourse-cdn.com/nvidia/theme-javascripts/098438cd37b784b1cdbf6a91223ae055e9a0d312.js?__ws=forums.developer.nvidia.com" data-theme-id="22" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script> <link rel="alternate nofollow" type="application/rss+xml" title="RSS feed of 'Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch'" href="https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735.rss" /> <meta property="og:site_name" content="NVIDIA Developer Forums" /> <meta property="og:type" content="website" /> <meta name="twitter:card" content="summary" /> <meta name="twitter:image" content="https://global.discourse-cdn.com/nvidia/optimized/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765_2_1024x771.jpeg" /> <meta property="og:image" content="https://global.discourse-cdn.com/nvidia/optimized/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765_2_1024x771.jpeg" /> <meta property="og:url" content="https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735" /> <meta name="twitter:url" content="https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735" /> <meta property="og:title" content="Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch" /> <meta name="twitter:title" content="Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch" /> <meta property="og:description" content="I installed via SDK Manager JetPack 6.1 on a NVIDIA Orin Nano Development kit with 8GB RAM and 512GB M.2 SSD including CUDA runtime and CUDA SDK components Via miniconda I reated an environment with Python 3.10. Afterwards I installded Tensorflow and Pytorch with NVIDIAS prebuilt installation wheels. All installation processes went without error messages or warnings. Nevertheless, the Jetson cannot be used properly neither with Tensorflow, nor with Pytorch." /> <meta name="twitter:description" content="I installed via SDK Manager JetPack 6.1 on a NVIDIA Orin Nano Development kit with 8GB RAM and 512GB M.2 SSD including CUDA runtime and CUDA SDK components Via miniconda I reated an environment with Python 3.10. Afterwards I installded Tensorflow and Pytorch with NVIDIAS prebuilt installation wheels. All installation processes went without error messages or warnings. Nevertheless, the Jetson cannot be used properly neither with Tensorflow, nor with Pytorch." /> <meta property="og:article:section" content="Autonomous Machines" /> <meta property="og:article:section:color" content="76B900" /> <meta property="og:article:section" content="Jetson & Embedded Systems" /> <meta property="og:article:section:color" content="76B900" /> <meta property="og:article:section" content="Jetson Orin Nano" /> <meta property="og:article:section:color" content="76B900" /> <meta property="og:article:tag" content="pytorch" /> <meta property="og:article:tag" content="cuda" /> <meta property="article:published_time" content="2024-10-30T17:12:07+00:00" /> <meta property="og:ignore_canonical" content="true" /> <script type="application/ld+json">{"@context":"http://schema.org","@type":"QAPage","name":"Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch","mainEntity":{"@type":"Question","name":"Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch","text":"I installed via SDK Manager JetPack 6.1 on a NVIDIA Orin Nano Development kit with 8GB RAM and 512GB M.2 SSD\n\n<a class=\"lightbox\" href=\"https://global.discourse-cdn.com/nvidia/original/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765.jpeg\" data-download-href=\"/uploads/short-url/bWcjsNSWn9jy67egPdwQLdFouRD.jpeg?dl=1\" title=\"SDK_Manager\" rel=\"noopener nofollow ugc\">[SDK_Manager]<\/a>\n\nincluding CUDA runtime and CUDA SDK components\n\nVia miniconda I reated an environment with Python 3.10. Afterwards I installded Tensorflow and Pytorch with NVIDIAS prebuilt i…","upvoteCount":0,"answerCount":0,"datePublished":"2024-10-30T17:12:07.037Z","author":{"@type":"Person","name":"joerg.hoenig","url":"https://forums.developer.nvidia.com/u/joerg.hoenig"}}}</script> </head> <body class="crawler browser-update"> <header> <a href="/"> NVIDIA Developer Forums </a> </header> <div id="main-outlet" class="wrap" role="main"> <div id="topic-title"> <h1> <a href="/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735">Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch</a> </h1> <div class="topic-category" itemscope itemtype="http://schema.org/BreadcrumbList"> <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"> <a href="/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632" class="badge-wrapper bullet" itemprop="item"> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name' itemprop='name'>Autonomous Machines</span> </span> </a> <meta itemprop="position" content="1" /> </span> <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"> <a href="/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632" class="badge-wrapper bullet" itemprop="item"> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name' itemprop='name'>Jetson & Embedded Systems</span> </span> </a> <meta itemprop="position" content="2" /> </span> <span itemprop="itemListElement" itemscope itemtype="http://schema.org/ListItem"> <a href="/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632" class="badge-wrapper bullet" itemprop="item"> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name' itemprop='name'>Jetson Orin Nano</span> </span> </a> <meta itemprop="position" content="3" /> </span> </div> <div class="topic-category"> <div class='discourse-tags list-tags'> <a href='https://forums.developer.nvidia.com/tag/pytorch' class='discourse-tag' rel="tag">pytorch</a>, <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag' rel="tag">cuda</a> </div> </div> </div> <div itemscope itemtype='http://schema.org/DiscussionForumPosting'> <meta itemprop='headline' content='Jetson Orin Nano CUDA 12.6 in JetPack 6.1 in Tensorflow and Pytorch'> <link itemprop='url' href='https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735'> <meta itemprop='datePublished' content='2024-10-30T17:12:07Z'> <meta itemprop='articleSection' content='Jetson Orin Nano'> <meta itemprop='keywords' content='pytorch, cuda'> <div itemprop='publisher' itemscope itemtype="http://schema.org/Organization"> <meta itemprop='name' content='NVIDIA'> <div itemprop='logo' itemscope itemtype="http://schema.org/ImageObject"> <meta itemprop='url' content='https://global.discourse-cdn.com/nvidia/original/3X/a/1/a1ef6e0c1fbd3fad5bf82538b78dfaa9c5fa1a61.png'> </div> </div> <div id='post_1' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <link itemprop="mainEntityOfPage" href="https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-12-6-in-jetpack-6-1-in-tensorflow-and-pytorch/311735"> <link itemprop="image" href="https://global.discourse-cdn.com/nvidia/original/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765.jpeg"> <span class="crawler-post-infos"> <time datetime='2024-10-30T17:12:07Z' class='post-time'> October 30, 2024, 5:12pm </time> <meta itemprop='dateModified' content='2024-10-31T23:57:06Z'> <span itemprop='position'>1</span> </span> </div> <div class='post' itemprop='text'> <p>I installed via SDK Manager JetPack 6.1 on a NVIDIA Orin Nano Development kit with 8GB RAM and 512GB M.2 SSD<br> <div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/nvidia/original/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765.jpeg" data-download-href="/uploads/short-url/bWcjsNSWn9jy67egPdwQLdFouRD.jpeg?dl=1" title="SDK_Manager" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/nvidia/optimized/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765_2_664x500.jpeg" alt="SDK_Manager" data-base62-sha1="bWcjsNSWn9jy67egPdwQLdFouRD" width="664" height="500" srcset="https://global.discourse-cdn.com/nvidia/optimized/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765_2_664x500.jpeg, https://global.discourse-cdn.com/nvidia/optimized/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765_2_996x750.jpeg 1.5x, https://global.discourse-cdn.com/nvidia/optimized/4X/5/3/a/53ac14fb4b255ba474e7c804c017378800744765_2_1328x1000.jpeg 2x" data-dominant-color="5D5459"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">SDK_Manager</span><span class="informations">2040×1536 338 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br> including CUDA runtime and CUDA SDK components<br> Via miniconda I reated an environment with Python 3.10. Afterwards I installded Tensorflow and Pytorch with NVIDIAS prebuilt installation wheels.<br> All installation processes went without error messages or warnings.<br> Nevertheless, the Jetson cannot be used properly neither with Tensorflow, nor with Pytorch.</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_2' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <link itemprop="image" href="https://global.discourse-cdn.com/nvidia/original/4X/5/c/a/5cab4fba5aff411dee605a932bbe3edd0bb6f666.jpeg"> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-10-30T17:58:16Z' class='post-time'> October 30, 2024, 5:58pm </time> <meta itemprop='dateModified' content='2024-10-30T17:58:16Z'> <span itemprop='position'>2</span> </span> </div> <div class='post' itemprop='text'> <p>First, Tensorflow behaviour. Tensorflow and Keras can be imported. But already during the import in the console there are warning (?) that “… cuda_executor.cc:984 could not open file to read NUMA node: /sys/bus/pci/devices/0000:00:00.0/numa_node<br> Your kernel may have built without NUMA support.”<br> This occurs several times.</p> <p>The GPU seems to me recognized correctly “… device:GPU:0 with 2447MB memory : device:0, name: Orin, pci bus id: 0000:00:00.0, compute capability: 8.7”</p> <p>Later there seems a more severe problem with "… can’t find libdevice directory ${CUDA_DIR}/nvvm/libdevice. … it seems, that the CUDA-related directory structure, as well as the required files have not been established during the initial installation process by the SDK manager.<br> <div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/nvidia/original/4X/5/c/a/5cab4fba5aff411dee605a932bbe3edd0bb6f666.jpeg" data-download-href="/uploads/short-url/ddMXxyCXQmPLtDewh7WC0b8eOou.jpeg?dl=1" title="CUDA_directories" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/nvidia/optimized/4X/5/c/a/5cab4fba5aff411dee605a932bbe3edd0bb6f666_2_664x500.jpeg" alt="CUDA_directories" data-base62-sha1="ddMXxyCXQmPLtDewh7WC0b8eOou" width="664" height="500" srcset="https://global.discourse-cdn.com/nvidia/optimized/4X/5/c/a/5cab4fba5aff411dee605a932bbe3edd0bb6f666_2_664x500.jpeg, https://global.discourse-cdn.com/nvidia/optimized/4X/5/c/a/5cab4fba5aff411dee605a932bbe3edd0bb6f666_2_996x750.jpeg 1.5x, https://global.discourse-cdn.com/nvidia/optimized/4X/5/c/a/5cab4fba5aff411dee605a932bbe3edd0bb6f666_2_1328x1000.jpeg 2x" data-dominant-color="8A3363"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">CUDA_directories</span><span class="informations">2040×1536 339 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br> under /usr/local one may find 3 “CUDA” directories: cuda, cuda-12, cuda-12.6. All of them consist of the subdirectories gds, include, lib64, targets but no “bin” subdirectory as suggested by the $PATH variable, composed by the SDK Manager<br> <div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/nvidia/original/4X/b/1/b/b1b392cb866398c73e97898f61c6d24ae5e33b3e.jpeg" data-download-href="/uploads/short-url/pm1fhIa9rilgmy5NMdP3XBcFBvg.jpeg?dl=1" title="PATH" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/nvidia/optimized/4X/b/1/b/b1b392cb866398c73e97898f61c6d24ae5e33b3e_2_664x500.jpeg" alt="PATH" data-base62-sha1="pm1fhIa9rilgmy5NMdP3XBcFBvg" width="664" height="500" srcset="https://global.discourse-cdn.com/nvidia/optimized/4X/b/1/b/b1b392cb866398c73e97898f61c6d24ae5e33b3e_2_664x500.jpeg, https://global.discourse-cdn.com/nvidia/optimized/4X/b/1/b/b1b392cb866398c73e97898f61c6d24ae5e33b3e_2_996x750.jpeg 1.5x, https://global.discourse-cdn.com/nvidia/optimized/4X/b/1/b/b1b392cb866398c73e97898f61c6d24ae5e33b3e_2_1328x1000.jpeg 2x" data-dominant-color="694B6C"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">PATH</span><span class="informations">2040×1536 443 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p> <p>Thus, a nvcc cannot be found in the whole file system.</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_4' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/AastaLLL'><span itemprop='name'>AastaLLL</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-01T06:19:07Z' class='post-time'> November 1, 2024, 6:19am </time> <meta itemprop='dateModified' content='2024-11-01T06:19:07Z'> <span itemprop='position'>4</span> </span> </div> <div class='post' itemprop='text'> <p>Hi,</p> <p>We can find nvcc under the cuda folder:</p> <pre><code class="lang-auto">$ ll /usr/local/cuda/bin/nvcc -rwxr-xr-x 1 root root 16370032 八 15 01:59 /usr/local/cuda/bin/nvcc* </code></pre> <p>Is this issue related to the virtual environment?<br> Could you check it outside of the conda environment?</p> <p>Thanks.</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_5' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-01T11:36:37Z' class='post-time'> November 1, 2024, 11:36am </time> <meta itemprop='dateModified' content='2024-11-01T11:36:37Z'> <span itemprop='position'>5</span> </span> </div> <div class='post' itemprop='text'> <p>I deactivated cuda - but there is still no " …/cuda/bin" directory. The directory structure looks like in the picture “CUDA_directories” above</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_6' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-01T11:37:33Z' class='post-time'> November 1, 2024, 11:37am </time> <meta itemprop='dateModified' content='2024-11-01T11:37:33Z'> <span itemprop='position'>6</span> </span> </div> <div class='post' itemprop='text'> <p>beg your pardon - I deactivated “conda” :-)</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_7' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-02T12:32:22Z' class='post-time'> November 2, 2024, 12:32pm </time> <meta itemprop='dateModified' content='2024-11-02T12:32:22Z'> <span itemprop='position'>7</span> </span> </div> <div class='post' itemprop='text'> <p>I guess, that the CUDA installation should have been done during the initial software installation via the SDK Manager.<br> During the installation process it was a little bit confusing for me, that the Jetson started to boot the Linux even the Linux image transfer to the Jetson was not finished yet (at about 70%) and the shortcut between pins 9 and 10 still has been there. Maybe this prevents the complete software installation ? Should I disconnect from the DevKit all other connections beside the USB-C cable to the control PC ?</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_8' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/AastaLLL'><span itemprop='name'>AastaLLL</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-04T06:29:14Z' class='post-time'> November 4, 2024, 6:29am </time> <meta itemprop='dateModified' content='2024-11-04T06:29:14Z'> <span itemprop='position'>8</span> </span> </div> <div class='post' itemprop='text'> <p>Hi,</p> <p>Could you try the below command to check if any package missing in the SDKmanager installation?</p> <pre><code class="lang-auto">$ sudo apt install nvidia-jetpack </code></pre> <p>Thanks.</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_9' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <link itemprop="image" href="https://global.discourse-cdn.com/nvidia/original/4X/2/6/f/26f4b258991fe25eac2b4d3051fd27254c65962b.png"> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-04T11:35:02Z' class='post-time'> November 4, 2024, 11:35am </time> <meta itemprop='dateModified' content='2024-11-04T11:35:02Z'> <span itemprop='position'>9</span> </span> </div> <div class='post' itemprop='text'> <p>Hi, you have been right, there was missing a lot as you see on the first screenshot<br> <div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/nvidia/original/4X/2/6/f/26f4b258991fe25eac2b4d3051fd27254c65962b.png" data-download-href="/uploads/short-url/5yCp3drV82DYLorqWMRfBXEww3h.png?dl=1" title="Screenshot from 2024-11-04 10-38-29" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/nvidia/optimized/4X/2/6/f/26f4b258991fe25eac2b4d3051fd27254c65962b_2_690x393.png" alt="Screenshot from 2024-11-04 10-38-29" data-base62-sha1="5yCp3drV82DYLorqWMRfBXEww3h" width="690" height="393" srcset="https://global.discourse-cdn.com/nvidia/optimized/4X/2/6/f/26f4b258991fe25eac2b4d3051fd27254c65962b_2_690x393.png, https://global.discourse-cdn.com/nvidia/optimized/4X/2/6/f/26f4b258991fe25eac2b4d3051fd27254c65962b_2_1035x589.png 1.5x, https://global.discourse-cdn.com/nvidia/original/4X/2/6/f/26f4b258991fe25eac2b4d3051fd27254c65962b.png 2x" data-dominant-color="3D1D33"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">Screenshot from 2024-11-04 10-38-29</span><span class="informations">1062×606 138 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br> after running the installation, the proper directories and files could be found.<br> <div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/nvidia/original/4X/6/4/a/64a9ee1204a5195285a716eb701ba8bd8ac75d2b.png" data-download-href="/uploads/short-url/emvORgV7T1LkEzbRqijCEAi8oH1.png?dl=1" title="Screenshot from 2024-11-04 12-07-40" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/nvidia/optimized/4X/6/4/a/64a9ee1204a5195285a716eb701ba8bd8ac75d2b_2_636x500.png" alt="Screenshot from 2024-11-04 12-07-40" data-base62-sha1="emvORgV7T1LkEzbRqijCEAi8oH1" width="636" height="500" srcset="https://global.discourse-cdn.com/nvidia/optimized/4X/6/4/a/64a9ee1204a5195285a716eb701ba8bd8ac75d2b_2_636x500.png, https://global.discourse-cdn.com/nvidia/original/4X/6/4/a/64a9ee1204a5195285a716eb701ba8bd8ac75d2b.png 1.5x, https://global.discourse-cdn.com/nvidia/original/4X/6/4/a/64a9ee1204a5195285a716eb701ba8bd8ac75d2b.png 2x" data-dominant-color="33162C"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">Screenshot from 2024-11-04 12-07-40</span><span class="informations">878×690 125 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br> I was running then under spyder some little programs using tensorflow and keras. The speed was about 3 - 4 times that of running on my old AMD Ryzen7 CPU.</p> <p>Unfortunately Pytorch is still not possible to run<br> <div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/nvidia/original/4X/a/1/d/a1d945b0da2a331b338da945357d8b848a79f57b.png" data-download-href="/uploads/short-url/n5MnkGd2f5U1WkG5w1s4uBCYzPR.png?dl=1" title="Screenshot from 2024-11-04 12-05-09" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/nvidia/optimized/4X/a/1/d/a1d945b0da2a331b338da945357d8b848a79f57b_2_690x323.png" alt="Screenshot from 2024-11-04 12-05-09" data-base62-sha1="n5MnkGd2f5U1WkG5w1s4uBCYzPR" width="690" height="323" srcset="https://global.discourse-cdn.com/nvidia/optimized/4X/a/1/d/a1d945b0da2a331b338da945357d8b848a79f57b_2_690x323.png, https://global.discourse-cdn.com/nvidia/optimized/4X/a/1/d/a1d945b0da2a331b338da945357d8b848a79f57b_2_1035x484.png 1.5x, https://global.discourse-cdn.com/nvidia/optimized/4X/a/1/d/a1d945b0da2a331b338da945357d8b848a79f57b_2_1380x646.png 2x" data-dominant-color="1E2933"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">Screenshot from 2024-11-04 12-05-09</span><span class="informations">1830×859 92.6 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p> <p>should I create a different different environment and repeat the installation with the pytorch wheel there ?</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_10' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-05T15:02:54Z' class='post-time'> November 5, 2024, 3:02pm </time> <meta itemprop='dateModified' content='2024-11-05T15:02:54Z'> <span itemprop='position'>10</span> </span> </div> <div class='post' itemprop='text'> <p>I created a different environment and installed the pytorch wheel again - unfortunately same result</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_11' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/joerg.hoenig'><span itemprop='name'>joerg.hoenig</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-11T10:56:40Z' class='post-time'> November 11, 2024, 10:56am </time> <meta itemprop='dateModified' content='2024-11-11T10:56:40Z'> <span itemprop='position'>11</span> </span> </div> <div class='post' itemprop='text'> <p>Is there any idea what to do to get also Pytorch running ???</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> <div id='post_12' itemprop='comment' itemscope itemtype='http://schema.org/Comment' class='topic-body crawler-post'> <div class='crawler-post-meta'> <span class="creator" itemprop="author" itemscope itemtype="http://schema.org/Person"> <a itemprop="url" href='https://forums.developer.nvidia.com/u/AastaLLL'><span itemprop='name'>AastaLLL</span></a> </span> <span class="crawler-post-infos"> <time itemprop='datePublished' datetime='2024-11-21T06:46:06Z' class='post-time'> November 21, 2024, 6:46am </time> <meta itemprop='dateModified' content='2024-11-21T06:46:06Z'> <span itemprop='position'>12</span> </span> </div> <div class='post' itemprop='text'> <p>Hi,</p> <p>Sorry for the late update.<br> Please find the document to install cuSparseLt.</p> <aside class="onebox allowlistedgeneric" data-onebox-src="https://docs.nvidia.com/deeplearning/frameworks/install-pytorch-jetson-platform/index.html#prereqs-install"> <header class="source"> <img class="site-icon" src="https://global.discourse-cdn.com/nvidia/original/3X/6/6/66f03bded7edc87823daf5056d747a0f978ed299.png" data-dominant-color="6EB143" width="32" height="32"> <a href="https://docs.nvidia.com/deeplearning/frameworks/install-pytorch-jetson-platform/index.html#prereqs-install" target="_blank" rel="noopener">NVIDIA Docs</a> </header> <article class="onebox-body"> <h3><a href="https://docs.nvidia.com/deeplearning/frameworks/install-pytorch-jetson-platform/index.html#prereqs-install" target="_blank" rel="noopener">Installing PyTorch for Jetson Platform - NVIDIA Docs</a></h3> <p>This guide provides instructions for installing PyTorch for Jetson Platform.</p> </article> <div class="onebox-metadata"> </div> <div style="clear: both"></div> </aside> <p>Thanks.</p> </div> <div itemprop="interactionStatistic" itemscope itemtype="http://schema.org/InteractionCounter"> <meta itemprop="interactionType" content="http://schema.org/LikeAction"/> <meta itemprop="userInteractionCount" content="0" /> <span class='post-likes'></span> </div> </div> </div> <div id="related-topics" class="more-topics__list " role="complementary" aria-labelledby="related-topics-title"> <h3 id="related-topics-title" class="more-topics__list-title"> Related topics </h3> <div class="topic-list-container" itemscope itemtype='http://schema.org/ItemList'> <meta itemprop='itemListOrder' content='http://schema.org/ItemListOrderDescending'> <table class='topic-list'> <thead> <tr> <th>Topic</th> <th></th> <th class="replies">Replies</th> <th class="views">Views</th> <th>Activity</th> </tr> </thead> <tbody> <tr class="topic-list-item" id="topic-list-item-311706"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='1'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/installation-of-tensorflow-and-pytorch/311706' class='title raw-link raw-topic-link'>Installation of Tensorflow and Pytorch</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/tensorflow' class='discourse-tag'>tensorflow</a> , <a href='https://forums.developer.nvidia.com/tag/pytorch' class='discourse-tag'>pytorch</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>6</span> </td> <td class="views"> <span class='views' title='views'>48</span> </td> <td> November 16, 2024 </td> </tr> <tr class="topic-list-item" id="topic-list-item-307878"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='2'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/pytorch-installed-on-l4t-jetpack-r35-4-1-container-on-jetson-orin-nano-jetpack-6-0-developer-kit-fails-to-recognize-cuda/307878' class='title raw-link raw-topic-link'>Pytorch installed on l4t-jetpack:r35.4.1 container on Jetson Orin Nano (JetPack 6.0 Developer Kit) fails to recognize CUDA</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> , <a href='https://forums.developer.nvidia.com/tag/docker' class='discourse-tag'>docker</a> , <a href='https://forums.developer.nvidia.com/tag/pytorch' class='discourse-tag'>pytorch</a> , <a href='https://forums.developer.nvidia.com/tag/python' class='discourse-tag'>python</a> , <a href='https://forums.developer.nvidia.com/tag/containers' class='discourse-tag'>containers</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>2</span> </td> <td class="views"> <span class='views' title='views'>52</span> </td> <td> October 22, 2024 </td> </tr> <tr class="topic-list-item" id="topic-list-item-290430"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='3'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-cudnn-torch-torchauido-torchvision/290430' class='title raw-link raw-topic-link'>Jetson orin nano Cuda Cudnn torch torchauido torchvision</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>11</span> </td> <td class="views"> <span class='views' title='views'>668</span> </td> <td> May 27, 2024 </td> </tr> <tr class="topic-list-item" id="topic-list-item-261431"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='4'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/jetson-orin-nano-cuda-download/261431' class='title raw-link raw-topic-link'>Jetson orin nano cuda download</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>5</span> </td> <td class="views"> <span class='views' title='views'>1852</span> </td> <td> July 31, 2023 </td> </tr> <tr class="topic-list-item" id="topic-list-item-244323"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='5'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/jetson-nano-cuda-error-could-not-load-dynamic-library-libcudart-so-10-2/244323' class='title raw-link raw-topic-link'>Jetson nano CUDA error Could not load dynamic library 'libcudart.so.10.2'</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-nano/76' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>6</span> </td> <td class="views"> <span class='views' title='views'>1807</span> </td> <td> March 2, 2023 </td> </tr> <tr class="topic-list-item" id="topic-list-item-292776"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='6'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/pytorch-with-cuda-support-jetson-orin-nano/292776' class='title raw-link raw-topic-link'>Pytorch with CUDA support Jetson Orin Nano</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> , <a href='https://forums.developer.nvidia.com/tag/pytorch' class='discourse-tag'>pytorch</a> , <a href='https://forums.developer.nvidia.com/tag/python' class='discourse-tag'>python</a> , <a href='https://forums.developer.nvidia.com/tag/cudnn' class='discourse-tag'>cudnn</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>4</span> </td> <td class="views"> <span class='views' title='views'>594</span> </td> <td> May 14, 2024 </td> </tr> <tr class="topic-list-item" id="topic-list-item-220661"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='7'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/cuda-is-not-installed-on-jetson-orin/220661' class='title raw-link raw-topic-link'>CUDA is not installed on Jetson Orin</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-agx-orin/486' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson AGX Orin</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>8</span> </td> <td class="views"> <span class='views' title='views'>16414</span> </td> <td> August 10, 2022 </td> </tr> <tr class="topic-list-item" id="topic-list-item-312206"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='8'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/regarding-the-issue-of-cuda-and-pytorch/312206' class='title raw-link raw-topic-link'>Regarding the issue of CUDA and Pytorch</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-nano/76' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> , <a href='https://forums.developer.nvidia.com/tag/pytorch' class='discourse-tag'>pytorch</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>3</span> </td> <td class="views"> <span class='views' title='views'>52</span> </td> <td> November 21, 2024 </td> </tr> <tr class="topic-list-item" id="topic-list-item-262858"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='9'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/orin-pytorch-cuda-issue/262858' class='title raw-link raw-topic-link'>Orin Pytorch/CUDA issue</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nx/487' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin NX</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> , <a href='https://forums.developer.nvidia.com/tag/pytorch' class='discourse-tag'>pytorch</a> , <a href='https://forums.developer.nvidia.com/tag/jetson-nano' class='discourse-tag'>jetson-nano</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>11</span> </td> <td class="views"> <span class='views' title='views'>2409</span> </td> <td> September 11, 2023 </td> </tr> <tr class="topic-list-item" id="topic-list-item-257085"> <td class="main-link" itemprop='itemListElement' itemscope itemtype='http://schema.org/ListItem'> <meta itemprop='position' content='10'> <span class="link-top-line"> <a itemprop='url' href='https://forums.developer.nvidia.com/t/jetson-orin-nano-8gb-cuda-driver-incompatibility/257085' class='title raw-link raw-topic-link'>Jetson Orin Nano 8GB + Cuda - Driver Incompatibility</a> </span> <div class="link-bottom-line"> <a href='/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632' class='badge-wrapper bullet'> <span class='badge-category-bg' style='background-color: #76B900'></span> <span class='badge-category clear-badge'> <span class='category-name'>Jetson Orin Nano</span> </span> </a> <div class="discourse-tags"> <a href='https://forums.developer.nvidia.com/tag/cuda' class='discourse-tag'>cuda</a> , <a href='https://forums.developer.nvidia.com/tag/ubuntu' class='discourse-tag'>ubuntu</a> , <a href='https://forums.developer.nvidia.com/tag/driver' class='discourse-tag'>driver</a> </div> </div> </td> <td class="replies"> <span class='posts' title='posts'>3</span> </td> <td class="views"> <span class='views' title='views'>1058</span> </td> <td> June 21, 2023 </td> </tr> </tbody> </table> </div> </div> </div> <footer class="container wrap"> <nav class='crawler-nav'> <ul> <li itemscope itemtype='http://schema.org/SiteNavigationElement'> <span itemprop='name'> <a href='/' itemprop="url">Home </a> </span> </li> <li itemscope itemtype='http://schema.org/SiteNavigationElement'> <span itemprop='name'> <a href='/categories' itemprop="url">Categories </a> </span> </li> <li itemscope itemtype='http://schema.org/SiteNavigationElement'> <span itemprop='name'> <a href='/guidelines' itemprop="url">Guidelines </a> </span> </li> <li itemscope itemtype='http://schema.org/SiteNavigationElement'> <span itemprop='name'> <a href='https://www.nvidia.com/en-us/about-nvidia/legal-info/' itemprop="url">Terms of Service </a> </span> </li> <li itemscope itemtype='http://schema.org/SiteNavigationElement'> <span itemprop='name'> <a href='https://www.nvidia.com/en-us/about-nvidia/privacy-policy/' itemprop="url">Privacy Policy </a> </span> </li> </ul> </nav> <p class='powered-by-link'>Powered by <a href="https://www.discourse.org">Discourse</a>, best viewed with JavaScript enabled</p> </footer> <script defer="" src="https://sea2.discourse-cdn.com/nvidia/theme-javascripts/d8ea190aad487b8feae316757854a563d15c4c27.js?__ws=forums.developer.nvidia.com" data-theme-id="13" nonce="pRaWdZpnaG2vNWGzyxI57TgMA"></script> <footer> <div class="footer-links"> <div class="container"> <div class="row"> <div class="col-xs-12 col-sm-12 col-md-3 col-lg-3"> <div class="col-xs-12 col-sm-12 col-md-12 col-lg-12"> <div class="padding-md-footer"> <div class="logo-footer"></div> </div> </div> <div class="col-xs-12 col-sm-12 col-md-9 col-lg-9 padding-section-footer"></div> </div> <div class="col-xs-12 col-sm-12 col-md-9 col-lg-9"></div> </div> </div> </div> <div class="footer-boilerplate"> <div class="container"> <div class="boilerplate"> <div class="col-xs-12 col-sm-12 col-lg-9 padding-sm-bottom"> Copyright © 2024 NVIDIA Corporation <ul class="legal_links"> <li class="first leaf"> <a href="https://www.nvidia.com/en-us/about-nvidia/legal-info/" title="">Legal Information</a> </li> <li class="leaf"> <a href="https://developer.nvidia.com/legal/terms" title="">Terms of Use</a> </li> <li class="leaf"> <a href="https://www.nvidia.com/en-us/about-nvidia/privacy-policy/" title="">Privacy Policy</a> </li> <li class="leaf"> <a href="https://developer.nvidia.com/contact" title="">Contact</a> </li> <li class="last leaf"> <a href="https://www.nvidia.com/en-us/about-nvidia/cookie-policy/" title="NVIDIA websites use cookies to deliver and improve the website experience. See our cookie policy for further details on how we use cookies and how to change your cookie settings.">Cookie Policy</a> </li> </ul> </div> </div> </div> </div> </footer> <div class="buorg"><div>Unfortunately, <a href="https://www.discourse.org/faq/#browser">your browser is unsupported</a>. Please <a href="https://browsehappy.com">switch to a supported browser</a> to view rich content, log in and reply.</div></div> </body> </html>