{"id":182590,"date":"2023-08-04T12:53:26","date_gmt":"2023-08-04T11:53:26","guid":{"rendered":"https:\/\/datascientest.com\/de\/?p=182590"},"modified":"2023-10-30T14:20:12","modified_gmt":"2023-10-30T13:20:12","slug":"pytorch-lightning-tutorial-das-framework-fuer-skalierbares-deep-learning","status":"publish","type":"post","link":"https:\/\/datascientest.com\/de\/pytorch-lightning-tutorial-das-framework-fuer-skalierbares-deep-learning","title":{"rendered":"PyTorch Lightning Tutorial: Das Framework f\u00fcr skalierbares Deep Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"182590\" class=\"elementor elementor-182590\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f1ef305 e-flex e-con-boxed e-con\" data-id=\"f1ef305\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-09fc2ac elementor-widget elementor-widget-heading\" data-id=\"09fc2ac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">PyTorch Lightning ist ein neues Framework, das Deep Learning in gro\u00dfem Ma\u00dfstab erm\u00f6glicht. Erfahre im Folgenden mehr \u00fcber die Hintergr\u00fcnde dieses Tools.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d52600b e-flex e-con-boxed e-con\" data-id=\"d52600b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c2e87e5 elementor-widget elementor-widget-heading\" data-id=\"c2e87e5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Was ist PyTorch Lightning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd63a27 elementor-widget elementor-widget-text-editor\" data-id=\"fd63a27\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Um \u00fcber Lightning zu sprechen, wollen wir zuerst Pytorch vorstellen:<\/p><p><a href=\"https:\/\/datascientest.com\/de\/pytorch\">Pytorch<\/a> ist ein Modul, das Werkzeuge zur Verf\u00fcgung stellt, um skalierbare Deep-Learning-Modelle zu erstellen und neuronale Netze zu trainieren (Neural Networks). Es nutzt Computer Vision und die Verarbeitung nat\u00fcrlicher Sprache. Es wurde von Meta.AI entwickelt, ist jetzt Teil der <a href=\"https:\/\/datascientest.com\/de\/linux-betriebssystem-warum-ist-es-das-beliebteste-os-fuer-entwickler\">Linux Foundation<\/a> und ist eine der am schnellsten wachsenden Deep-Learning-Software und -Bibliotheken (u. a. FastAi, Hugging Face).<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0ef38a4 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"0ef38a4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/unsere-aus-und-weiterbildungen\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Deep Learning Weiterbildung<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-db16f7c e-flex e-con-boxed e-con\" data-id=\"db16f7c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-349a40e6 elementor-widget elementor-widget-heading\" data-id=\"349a40e6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Was sind die Besonderheiten von PyTorch Lightning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-721f1b71 elementor-widget elementor-widget-text-editor\" data-id=\"721f1b71\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>PyTorch Lightning hat zwei Besonderheiten:<\/p><ul><li>Tensoren (Verwaltung multidimensionaler Arrays), die die Berechnung \u00fcber den Grafikprozessor beschleunigen.<\/li><li><a href=\"https:\/\/datascientest.com\/de\/neuronale-netze-einfach-erklaert\">Tiefe neuronale Netze<\/a>, die auf automatischen Banddifferenzierungssystemen basieren.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e782722 elementor-widget elementor-widget-text-editor\" data-id=\"4e782722\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Die wichtigsten verwendeten Module und Klassen sind torch.nn, torch.optim, Dataset und Dataloader. Quantencomputing ist eine ihrer attraktiven Anwendungen.<\/p><p>Andererseits ist PyTorch Lightning ein <a href=\"https:\/\/datascientest.com\/de\/open-source-definition\">Open-Source-Framework,<\/a> das PyTorch ersetzt und nutzt, wenn die Komplexit\u00e4t des Modells zunimmt, und die Forschung von der Technik trennt, um eine gr\u00f6\u00dfere Operationalit\u00e4t zu erreichen. Es wurde 2019 auf der Konferenz: Workshop \u00fcber neuronale Informationsverarbeitungssysteme verabschiedet. Da es sowohl f\u00fcr den Forschungs-Workflow als auch f\u00fcr die Produktions-Pipeline verwendet wird, kann es in Tagen statt Monaten eingesetzt werden und vermeidet viel Chaos und Boilerplate-Code (Code, der unabh\u00e4ngig von Experimenten oder Training ist).<\/p><p>Es bietet eine<strong> High-Level-Schnittstelle f\u00fcr PyTorch<\/strong> und kann auf unterschiedlicher Hardware laufen und trainiert werden. Die Vorlagen sind ger\u00e4teunabh\u00e4ngig, was bedeutet, dass es keine Kompatibilit\u00e4tsprobleme gibt.<\/p><p>Eine mobile App ist z. B. ger\u00e4te- oder hardwareunabh\u00e4ngig, wenn sie auf jeder Art von Ger\u00e4t ausgef\u00fchrt werden kann. Aufgaben werden zwischen mehreren Prozessen oder Komponenten oder Computern aufgeteilt und gel\u00f6st, von denen jeder sein eigenes Speichersystem hat, und diese Ger\u00e4te kommunizieren durch Nachrichten\u00fcbertragung.<\/p><p>Einige der Schwierigkeiten bei der parallelen oder verteilten L\u00f6sung sind, dass die Uhren zwischen den Komponenten synchronisiert werden m\u00fcssen.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c299796 elementor-widget elementor-widget-image\" data-id=\"5c299796\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/datascientest.com\/de\/files\/2023\/08\/deep-learning-pytorch.png\" class=\"attachment-full size-full wp-image-182597\" alt=\"\" srcset=\"https:\/\/datascientest.com\/de\/files\/2023\/08\/deep-learning-pytorch.png 800w, https:\/\/datascientest.com\/de\/files\/2023\/08\/deep-learning-pytorch-300x169.png 300w, https:\/\/datascientest.com\/de\/files\/2023\/08\/deep-learning-pytorch-768x432.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bbe52c2 elementor-widget elementor-widget-text-editor\" data-id=\"4bbe52c2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Du kannst kostenlos beginnen.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29ecadb3 elementor-widget elementor-widget-text-editor\" data-id=\"29ecadb3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Neben anderen F\u00e4higkeiten hat <strong>PyTorch Lightning :<\/strong><\/p><ul><li><strong>Leistung und Bottleneck:<\/strong> Ein Bottleneck liegt vor, wenn die Geschwindigkeit, mit der deine Daten abgerufen werden, nicht den Systemanforderungen entspricht;<\/li><li><strong>Modellkontrollpunkt:<\/strong> Dies ist ein Schnappschuss deines Arbeitsmodells, das in einem nichtfl\u00fcchtigen Speicher abgelegt ist, der f\u00fcr die Wiederherstellung eines bestimmten Modellzustands im Falle eines Ausfalls unerl\u00e4sslich ist;<\/li><li><strong>16-Bit-Genauigkeit:<\/strong> Dies ist eine Form der Speicherung im digitalen Format, die Prozesse beschleunigt, die keine hohe Genauigkeit erfordern;<\/li><li><strong>Loggings<\/strong>: Nachrichten \u00fcber deinen Code, um dir beim Lesen und Debuggen zu helfen ;<br \/>Metriken;<\/li><li><strong>Early-Stopping:<\/strong> das beim maschinellen Lernen eine Form der Regularisierung ist, die das &#8222;Overfitting&#8220; beim Training eines Learners mit einer iterativen Methode vermeidet.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64a28391 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"64a28391\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/de\/unsere-aus-und-weiterbildungen\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Weiterbildung in Deep Learning <\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-92b2131 e-flex e-con-boxed e-con\" data-id=\"92b2131\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d52628a elementor-widget elementor-widget-heading\" data-id=\"d52628a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Fazit<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9462a8f elementor-widget elementor-widget-text-editor\" data-id=\"9462a8f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">PyTorch Lightning ist ein hervorragendes Framework, mit dem du problemlos an komplexen Deep-Learning-Problemen arbeiten kannst. Es bietet dir eine ansprechende Benutzeroberfl\u00e4che und eine gro\u00dfe Anzahl an Tutorials und Dokumentationen.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3c3282f e-flex e-con-boxed e-con\" data-id=\"3c3282f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-44415b1 elementor-widget elementor-widget-heading\" data-id=\"44415b1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\"><u>Linkographie<\/u><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f6fbbd1 elementor-widget elementor-widget-text-editor\" data-id=\"f6fbbd1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Wikipedia, PyTorch Lightning : <a href=\"https:\/\/en.wikipedia.org\/wiki\/PyTorch_Lightning\">https:\/\/en.wikipedia.org\/wiki\/PyTorch_Lightning<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Techopedia, Hardware-agnostic : <a href=\"https:\/\/www.techopedia.com\/definition\/31685\/hardware-agnostic\">https:\/\/www.techopedia.com\/definition\/31685\/hardware-agnostic<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Wikipedia, PyTorch :<a href=\"https:\/\/en.wikipedia.org\/wiki\/PyTorch\"> https:\/\/en.wikipedia.org\/wiki\/PyTorch<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">CNIPS : <a href=\"https:\/\/en.wikipedia.org\/wiki\/Conference_on_Neural_Information_Processing_Systems\">https:\/\/en.wikipedia.org\/wiki\/Conference_on_Neural_Information_Processing_Systems<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ligthning : <a href=\"https:\/\/lightning.ai\/\">https:\/\/lightning.ai\/<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Performance bottleneck : <a href=\"https:\/\/docs.oracle.com\/cd\/E19636-01\/819-2326\/gaxpt\/index.html#:~:text=A%20performance%20bottleneck%20occurs%20when,access%20points%20within%20a%20system\">https:\/\/docs.oracle.com\/cd\/E19636-01\/819-2326\/gaxpt\/index.html#:~:text=A%20performance%20bottleneck%20occurs%20when,access%20points%20within%20a%20system<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Checkpointing : <a href=\"https:\/\/docs.google.com\/document\/d\/1QPHP2JNt7EKNo4nmwIMSm42oyvhWKOTLDUmlkIme0Ok\/edit\">https:\/\/docs.google.com\/document\/d\/1QPHP2JNt7EKNo4nmwIMSm42oyvhWKOTLDUmlkIme0Ok\/edit<\/a><\/span><span style=\"font-weight: 400;\"> and <a href=\"https:\/\/www.indusmic.com\/post\/checkpoints-in-deep-learning#:~:text=Checkpoints%20are%20snapshots%20of%20your,up%20from%20where%20they%20left\">https:\/\/www.indusmic.com\/post\/checkpoints-in-deep-learning#:~:text=Checkpoints%20are%20snapshots%20of%20your,up%20from%20where%20they%20left<\/a><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.google.com\/search?q=Early+stopping&amp;oq=Early+stopping&amp;aqs=chrome..69i57j0i512l9.2052j1j7&amp;sourceid=chrome&amp;ie=UTF-8\">https:\/\/www.google.com\/search?q=Early+stopping&amp;oq=Early+stopping&amp;aqs=chrome..69i57j0i512l9.2052j1j7&amp;sourceid=chrome&amp;ie=UTF-8<\/a><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.assemblyai.com\/blog\/pytorch-lightning-for-dummies\/\">https:\/\/www.assemblyai.com\/blog\/pytorch-lightning-for-dummies\/<\/a><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"http:\/\/www.idris.fr\/jean-zay\/gpu\/jean-zay-gpu-lightning-multi.html\">http:\/\/www.idris.fr\/jean-zay\/gpu\/jean-zay-gpu-lightning-multi.html<\/a><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/docs.wandb.ai\/v\/fr\/integrations\/lightning\">https:\/\/docs.wandb.ai\/v\/fr\/integrations\/lightning<\/a><\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>PyTorch Lightning ist ein neues Framework, das Deep Learning in gro\u00dfem Ma\u00dfstab erm\u00f6glicht. Erfahre im Folgenden mehr \u00fcber die Hintergr\u00fcnde dieses Tools. Was ist PyTorch Lightning? Um \u00fcber Lightning zu sprechen, wollen wir zuerst Pytorch vorstellen: Pytorch ist ein Modul, das Werkzeuge zur Verf\u00fcgung stellt, um skalierbare Deep-Learning-Modelle zu erstellen und neuronale Netze zu trainieren [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":182595,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2454],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PyTorch Lightning Tutorial: Das Framework f\u00fcr skalierbares Deep Learning<\/title>\n<meta name=\"description\" content=\"Du bist auf der Suche nach einem PyTorch Lightning Tutorial? 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