{"id":180164,"date":"2024-06-05T23:34:06","date_gmt":"2024-06-05T22:34:06","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=180164"},"modified":"2024-02-25T23:54:18","modified_gmt":"2024-02-25T22:54:18","slug":"pytorch-lightning-empowering-scalable-deep-learning-frameworks","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/pytorch-lightning-empowering-scalable-deep-learning-frameworks","title":{"rendered":"PyTorch Lightning: Empowering Scalable Deep Learning Frameworks"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"180164\" class=\"elementor elementor-180164\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7a5c96b e-flex e-con-boxed e-con\" data-id=\"7a5c96b\" 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-3706ff5 elementor-widget elementor-widget-heading\" data-id=\"3706ff5\" 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 is the new framework for large-scale Deep Learning. Discover the ins and outs of this tool below.<\/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-adf067f e-flex e-con-boxed e-con\" data-id=\"adf067f\" 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-8db759e elementor-widget elementor-widget-heading\" data-id=\"8db759e\" 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\">What is PyTorch Lightning?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c932aa elementor-widget elementor-widget-text-editor\" data-id=\"7c932aa\" 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>In order to talk about Lightning,<a href=\"https:\/\/datascientest.com\/en\/pytorch-all-about-this-framework\"> we&#8217;ll first introduce Pytorch :<\/a><\/p><p>Pytorch is a module that provides tools for creating scalable <a href=\"https:\/\/datascientest.com\/en\/unraveling-machine-learning-vs-deep-learning-key-differences-explained\">Deep Learning models and training Neural Networks.<\/a> It uses computer vision and natural language processing.<\/p><p>Developed by Meta.AI, it is now part of the Linux Foundation and is one of the fastest-growing deep learning software and libraries (including FastAi, <a href=\"https:\/\/datascientest.com\/en\/empowering-natural-language-processing-with-hugging-face-transformers-api\">Hugging Face).<\/a><\/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-28a177b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"28a177b\" 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\/en\/deep-learning-course\">\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\">Training 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-374a560 e-flex e-con-boxed e-con\" data-id=\"374a560\" 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-d3c7f8b elementor-widget elementor-widget-heading\" data-id=\"d3c7f8b\" 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\">What makes PyTorch Lightning so special?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-05b5ea8 elementor-widget elementor-widget-text-editor\" data-id=\"05b5ea8\" 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 has 2 special features:<\/p><ol><li>Tensors (management of multi-dimensional arrays) that accelerate computation via GPU<\/li><li>Deep neural networks based on automatic on-band differentiation systems<\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e4726a6 elementor-widget elementor-widget-text-editor\" data-id=\"e4726a6\" 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>The main modules and classes used are torch.nn, torch.optim, Dataset and Dataloader. Quantum computing is one of its attractive applications.<\/p><p>On the other hand, <strong>PyTorch Lightning<\/strong> is an open source framework that replaces and uses PyTorch when model complexity increases, and dissociates research from engineering for greater operationality. It was adopted in 2019 at the Conference: Workshop on Neural Information Processing Systems.<\/p><p>Used for both the research workflow and the production pipeline, it can be deployed in days instead of months, and avoids a lot of clutter and boilerplate code <strong>(code independent of experimentation or training).<\/strong><\/p><p>It provides a high-level interface for PyTorch and can run and train on a variety of hardware. Models are device-independent, which means they have no compatibility problems.<\/p><p>For example, a mobile application is device- or hardware-independent if it can run on any type of device. Tasks are divided up and solved between several processes or components or computers, each of which has its own memory system, and these devices communicate by transmitting messages.<\/p><p>Some of the <strong>difficulties encountered in parallel or distributed solving<\/strong> are that the clocks between the components need to be synchronized.<\/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-dfc0567 elementor-widget elementor-widget-image\" data-id=\"dfc0567\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/deep-learning-pytorch.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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-ee5823a elementor-widget elementor-widget-text-editor\" data-id=\"ee5823a\" 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>You can get started for free.<\/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-9c11c55 elementor-widget elementor-widget-text-editor\" data-id=\"9c11c55\" 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>Among other capabilities, <strong>PyTorch Lightning<\/strong> has:<\/p><ul><li><strong>Performance and bottlenecks:<\/strong> the bottleneck that exists when the speed at which your data is accessed cannot meet system requirements;<\/li><li><strong>Model checkpoint:<\/strong> this is a snapshot of your working model stored in non-volatile memory, essential for recovering a specific model state in the event of a failure;<\/li><li><strong>16-bit precision:<\/strong> a form of digital format storage that speeds up processes that do not require high precision;<\/li><li><strong>Loggings:<\/strong> messages via your code to help you read and debug ;<br \/>Metrics;<\/li><li><strong>Early-Stopping:<\/strong> which, in machine learning, is a form of regularization that avoids &#8220;overfitting&#8221; when training a learner with an iterative method.<\/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-a8dcb1b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a8dcb1b\" 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\/en\/deep-learning-course\">\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\">Starting a Deep Learning course <\/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-1bd3799 e-flex e-con-boxed e-con\" data-id=\"1bd3799\" 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-791bb52 elementor-widget elementor-widget-heading\" data-id=\"791bb52\" 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\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aff7ad1 elementor-widget elementor-widget-text-editor\" data-id=\"aff7ad1\" 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><strong>PyTorch Lightning<\/strong> is an exceptional framework that lets you work easily on complex Deep Learning problems, with a pleasant interface and a large number of tutorials and documentations.<\/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-58c9455 e-flex e-con-boxed e-con\" data-id=\"58c9455\" 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-fc0feeb elementor-widget elementor-widget-heading\" data-id=\"fc0feeb\" 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>Linkography<\/u><\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0ffcf69 elementor-widget elementor-widget-text-editor\" data-id=\"0ffcf69\" 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<div class=\"elementor-element elementor-element-3698e93 e-flex e-con-boxed e-con\" data-id=\"3698e93\" 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-3e6b83d elementor-widget elementor-widget-html\" data-id=\"3e6b83d\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": 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Used for both the research workflow and the production pipeline, it can be deployed in days instead of months and avoids a lot of clutter and boilerplate code (code independent of experimentation or training).\"\n    }\n  }]\n}\n<\/script>\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 is the new framework for large-scale Deep Learning. Discover the ins and outs of this tool below. What is PyTorch Lightning? In order to talk about Lightning, we&#8217;ll first introduce Pytorch : Pytorch is a module that provides tools for creating scalable Deep Learning models and training Neural Networks. It uses computer vision [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":180173,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"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: Empowering Scalable Deep Learning Frameworks<\/title>\n<meta name=\"description\" content=\"Explore PyTorch Lightning, the framework revolutionizing scalable deep learning with the most used tools such as...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/pytorch-lightning-empowering-scalable-deep-learning-frameworks\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PyTorch Lightning: Empowering Scalable Deep Learning Frameworks\" \/>\n<meta property=\"og:description\" content=\"PyTorch Lightning is the new framework for large-scale Deep Learning. 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