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2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 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data-target="react-app.embeddedData">{"payload":{"allShortcutsEnabled":false,"path":"examples","repo":{"id":422274596,"defaultBranch":"main","name":"ColossalAI","ownerLogin":"hpcaitech","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2021-10-28T16:19:44.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/88699314?v=4","public":true,"private":false,"isOrgOwned":true},"currentUser":null,"refInfo":{"name":"main","listCacheKey":"v0:1742523934.0","canEdit":false,"refType":"branch","currentOid":"44d4053fec005fe0b06b6bc755fdc962463145df"},"tree":{"items":[{"name":"community","path":"examples/community","contentType":"directory"},{"name":"images","path":"examples/images","contentType":"directory"},{"name":"inference","path":"examples/inference","contentType":"directory"},{"name":"language","path":"examples/language","contentType":"directory"},{"name":"tutorial","path":"examples/tutorial","contentType":"directory"},{"name":"README.md","path":"examples/README.md","contentType":"file"},{"name":"__init__.py","path":"examples/__init__.py","contentType":"file"}],"templateDirectorySuggestionUrl":null,"readme":{"displayName":"README.md","richText":"\u003carticle class=\"markdown-body entry-content container-lg\" itemprop=\"text\"\u003e\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eColossal-AI Examples\u003c/h1\u003e\u003ca id=\"user-content-colossal-ai-examples\" class=\"anchor\" aria-label=\"Permalink: Colossal-AI Examples\" href=\"#colossal-ai-examples\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv align=\"center\" dir=\"auto\"\u003e\n \u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\n \u003ca href=\"https://cloud.luchentech.com/\" rel=\"nofollow\"\u003eGPU Cloud Playground \u003c/a\u003e |\n \u003ca href=\"https://cloud.luchentech.com/doc/docs/intro\" rel=\"nofollow\"\u003e Playground Document \u003c/a\u003e\n \u003c/h3\u003e\u003ca id=\"user-content--gpu-cloud-playground-----playground-document--\" class=\"anchor\" aria-label=\"Permalink: GPU Cloud Playground |\n Playground Document \" href=\"#-gpu-cloud-playground-----playground-document--\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTable of Contents\u003c/h2\u003e\u003ca id=\"user-content-table-of-contents\" class=\"anchor\" aria-label=\"Permalink: Table of Contents\" href=\"#table-of-contents\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#colossal-ai-examples\"\u003eColossal-AI Examples\u003c/a\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#table-of-contents\"\u003eTable of Contents\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#overview\"\u003eOverview\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#folder-structure\"\u003eFolder Structure\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#integrate-your-example-with-testing\"\u003eIntegrate Your Example With Testing\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOverview\u003c/h2\u003e\u003ca id=\"user-content-overview\" class=\"anchor\" aria-label=\"Permalink: Overview\" href=\"#overview\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis folder provides several examples accelerated by Colossal-AI.\nFolders such as \u003ccode\u003eimages\u003c/code\u003e and \u003ccode\u003elanguage\u003c/code\u003e include a wide range of deep learning tasks and applications.\nThe \u003ccode\u003ecommunity\u003c/code\u003e folder aim to create a collaborative platform for developers to contribute exotic features built on top of Colossal-AI.\nThe \u003ccode\u003etutorial\u003c/code\u003e folder is for everyone to quickly try out the different features in Colossal-AI.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou can find applications such as Chatbot, AIGC and Biomedicine in the \u003ca href=\"https://github.com/hpcaitech/ColossalAI/tree/main/applications\"\u003eApplications\u003c/a\u003e directory.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eFolder Structure\u003c/h2\u003e\u003ca id=\"user-content-folder-structure\" class=\"anchor\" aria-label=\"Permalink: Folder Structure\" href=\"#folder-structure\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"└─ examples\n └─ images\n └─ vit\n └─ test_ci.sh\n └─ train.py\n └─ README.md\n └─ ...\n └─ ...\"\u003e\u003cpre lang=\"text\" class=\"notranslate\"\u003e\u003ccode\u003e└─ examples\n └─ images\n └─ vit\n └─ test_ci.sh\n └─ train.py\n └─ README.md\n └─ ...\n └─ ...\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInvitation to open-source contribution\u003c/h2\u003e\u003ca id=\"user-content-invitation-to-open-source-contribution\" class=\"anchor\" aria-label=\"Permalink: Invitation to open-source contribution\" href=\"#invitation-to-open-source-contribution\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eReferring to the successful attempts of \u003ca href=\"https://bigscience.huggingface.co/\" rel=\"nofollow\"\u003eBLOOM\u003c/a\u003e and \u003ca href=\"https://en.wikipedia.org/wiki/Stable_Diffusion\" rel=\"nofollow\"\u003eStable Diffusion\u003c/a\u003e, any and all developers and partners with computing powers, datasets, models are welcome to join and build the Colossal-AI community, making efforts towards the era of big AI models!\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eYou may contact us or participate in the following ways:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/hpcaitech/ColossalAI/stargazers\"\u003eLeaving a Star ⭐\u003c/a\u003e to show your like and support. Thanks!\u003c/li\u003e\n\u003cli\u003ePosting an \u003ca href=\"https://github.com/hpcaitech/ColossalAI/issues/new/choose\"\u003eissue\u003c/a\u003e, or submitting a PR on GitHub follow the guideline in \u003ca href=\"https://github.com/hpcaitech/ColossalAI/blob/main/CONTRIBUTING.md\"\u003eContributing\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003eJoin the Colossal-AI community on\n\u003ca href=\"https://github.com/hpcaitech/public_assets/tree/main/colossalai/contact/slack\"\u003eSlack\u003c/a\u003e,\nand \u003ca href=\"https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/WeChat.png\" title=\"qrcode\" rel=\"nofollow\"\u003eWeChat(微信)\u003c/a\u003e to share your ideas.\u003c/li\u003e\n\u003cli\u003eSend your official proposal to email \u003ca href=\"mailto:contact@hpcaitech.com\"\u003econtact@hpcaitech.com\u003c/a\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003eThanks so much to all of our amazing contributors!\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eIntegrate Your Example With Testing\u003c/h2\u003e\u003ca id=\"user-content-integrate-your-example-with-testing\" class=\"anchor\" aria-label=\"Permalink: Integrate Your Example With Testing\" href=\"#integrate-your-example-with-testing\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eRegular checks are important to ensure that all examples run without apparent bugs and stay compatible with the latest API.\nColossal-AI runs workflows to check for examples on a on-pull-request and weekly basis.\nWhen a new example is added or changed, the workflow will run the example to test whether it can run.\nMoreover, Colossal-AI will run testing for examples every week.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTherefore, it is essential for the example contributors to know how to integrate your example with the testing workflow. Simply, you can follow the steps below.\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eCreate a script called \u003ccode\u003etest_ci.sh\u003c/code\u003e in your example folder\u003c/li\u003e\n\u003cli\u003eConfigure your testing parameters such as number steps, batch size in \u003ccode\u003etest_ci.sh\u003c/code\u003e, e.t.c. Keep these parameters small such that each example only takes several minutes.\u003c/li\u003e\n\u003cli\u003eExport your dataset path with the prefix \u003ccode\u003e/data\u003c/code\u003e and make sure you have a copy of the dataset in the \u003ccode\u003e/data/scratch/examples-data\u003c/code\u003e directory on the CI machine. Community contributors can contact us via slack to request for downloading the dataset on the CI machine.\u003c/li\u003e\n\u003cli\u003eImplement the logic such as dependency setup and example execution\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCommunity Dependency\u003c/h2\u003e\u003ca id=\"user-content-community-dependency\" class=\"anchor\" aria-label=\"Permalink: Community Dependency\" href=\"#community-dependency\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWe are happy to introduce the following nice community dependency repos that are powered by Colossal-AI:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/Lightning-AI/lightning\"\u003elightning-ColossalAI\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/7eu7d7/HCP-Diffusion\"\u003eHCP-Diffusion\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/airobotlab/KoChatGPT\"\u003eKoChatGPT\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/juncongmoo/minichatgpt\"\u003eminichatgpt\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/article\u003e","errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Colossal-AI Examples","anchor":"colossal-ai-examples","htmlText":"Colossal-AI Examples"},{"level":3,"text":"GPU Cloud Playground |\n Playground Document ","anchor":"-gpu-cloud-playground-----playground-document--","htmlText":"GPU Cloud Playground |\n Playground Document "},{"level":2,"text":"Table of Contents","anchor":"table-of-contents","htmlText":"Table of Contents"},{"level":2,"text":"Overview","anchor":"overview","htmlText":"Overview"},{"level":2,"text":"Folder Structure","anchor":"folder-structure","htmlText":"Folder Structure"},{"level":2,"text":"Invitation to open-source contribution","anchor":"invitation-to-open-source-contribution","htmlText":"Invitation to open-source contribution"},{"level":2,"text":"Integrate Your Example With Testing","anchor":"integrate-your-example-with-testing","htmlText":"Integrate Your Example With Testing"},{"level":2,"text":"Community Dependency","anchor":"community-dependency","htmlText":"Community 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data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Colossal-AI Examples</h1><a id="user-content-colossal-ai-examples" class="anchor" aria-label="Permalink: Colossal-AI Examples" href="#colossal-ai-examples"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div align="center" dir="auto"> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"> <a href="https://cloud.luchentech.com/" rel="nofollow">GPU Cloud Playground </a> | <a href="https://cloud.luchentech.com/doc/docs/intro" rel="nofollow"> Playground Document </a> </h3><a id="user-content--gpu-cloud-playground-----playground-document--" class="anchor" aria-label="Permalink: GPU Cloud Playground | Playground Document " href="#-gpu-cloud-playground-----playground-document--"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> </div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Table of Contents</h2><a id="user-content-table-of-contents" class="anchor" aria-label="Permalink: Table of Contents" href="#table-of-contents"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><a href="#colossal-ai-examples">Colossal-AI Examples</a> <ul dir="auto"> <li><a href="#table-of-contents">Table of Contents</a></li> <li><a href="#overview">Overview</a></li> <li><a href="#folder-structure">Folder Structure</a></li> <li><a href="#integrate-your-example-with-testing">Integrate Your Example With Testing</a></li> </ul> </li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Overview</h2><a id="user-content-overview" class="anchor" aria-label="Permalink: Overview" href="#overview"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This folder provides several examples accelerated by Colossal-AI. Folders such as <code>images</code> and <code>language</code> include a wide range of deep learning tasks and applications. The <code>community</code> folder aim to create a collaborative platform for developers to contribute exotic features built on top of Colossal-AI. The <code>tutorial</code> folder is for everyone to quickly try out the different features in Colossal-AI.</p> <p dir="auto">You can find applications such as Chatbot, AIGC and Biomedicine in the <a href="https://github.com/hpcaitech/ColossalAI/tree/main/applications">Applications</a> directory.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Folder Structure</h2><a id="user-content-folder-structure" class="anchor" aria-label="Permalink: Folder Structure" href="#folder-structure"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="└─ examples └─ images └─ vit └─ test_ci.sh └─ train.py └─ README.md └─ ... └─ ..."><pre lang="text" class="notranslate"><code>└─ examples └─ images └─ vit └─ test_ci.sh └─ train.py └─ README.md └─ ... └─ ... </code></pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Invitation to open-source contribution</h2><a id="user-content-invitation-to-open-source-contribution" class="anchor" aria-label="Permalink: Invitation to open-source contribution" href="#invitation-to-open-source-contribution"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Referring to the successful attempts of <a href="https://bigscience.huggingface.co/" rel="nofollow">BLOOM</a> and <a href="https://en.wikipedia.org/wiki/Stable_Diffusion" rel="nofollow">Stable Diffusion</a>, any and all developers and partners with computing powers, datasets, models are welcome to join and build the Colossal-AI community, making efforts towards the era of big AI models!</p> <p dir="auto">You may contact us or participate in the following ways:</p> <ol dir="auto"> <li><a href="https://github.com/hpcaitech/ColossalAI/stargazers">Leaving a Star ⭐</a> to show your like and support. Thanks!</li> <li>Posting an <a href="https://github.com/hpcaitech/ColossalAI/issues/new/choose">issue</a>, or submitting a PR on GitHub follow the guideline in <a href="https://github.com/hpcaitech/ColossalAI/blob/main/CONTRIBUTING.md">Contributing</a>.</li> <li>Join the Colossal-AI community on <a href="https://github.com/hpcaitech/public_assets/tree/main/colossalai/contact/slack">Slack</a>, and <a href="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/WeChat.png" title="qrcode" rel="nofollow">WeChat(微信)</a> to share your ideas.</li> <li>Send your official proposal to email <a href="mailto:contact@hpcaitech.com">contact@hpcaitech.com</a></li> </ol> <p dir="auto">Thanks so much to all of our amazing contributors!</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Integrate Your Example With Testing</h2><a id="user-content-integrate-your-example-with-testing" class="anchor" aria-label="Permalink: Integrate Your Example With Testing" href="#integrate-your-example-with-testing"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Regular checks are important to ensure that all examples run without apparent bugs and stay compatible with the latest API. Colossal-AI runs workflows to check for examples on a on-pull-request and weekly basis. When a new example is added or changed, the workflow will run the example to test whether it can run. Moreover, Colossal-AI will run testing for examples every week.</p> <p dir="auto">Therefore, it is essential for the example contributors to know how to integrate your example with the testing workflow. Simply, you can follow the steps below.</p> <ol dir="auto"> <li>Create a script called <code>test_ci.sh</code> in your example folder</li> <li>Configure your testing parameters such as number steps, batch size in <code>test_ci.sh</code>, e.t.c. Keep these parameters small such that each example only takes several minutes.</li> <li>Export your dataset path with the prefix <code>/data</code> and make sure you have a copy of the dataset in the <code>/data/scratch/examples-data</code> directory on the CI machine. Community contributors can contact us via slack to request for downloading the dataset on the CI machine.</li> <li>Implement the logic such as dependency setup and example execution</li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Community Dependency</h2><a id="user-content-community-dependency" class="anchor" aria-label="Permalink: Community Dependency" href="#community-dependency"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">We are happy to introduce the following nice community dependency repos that are powered by Colossal-AI:</p> <ul dir="auto"> <li><a href="https://github.com/Lightning-AI/lightning">lightning-ColossalAI</a></li> <li><a href="https://github.com/7eu7d7/HCP-Diffusion">HCP-Diffusion</a></li> <li><a href="https://github.com/airobotlab/KoChatGPT">KoChatGPT</a></li> <li><a href="https://github.com/juncongmoo/minichatgpt">minichatgpt</a></li> </ul> </article></div></div></div></div></div></div></div><div class="Box-sc-g0xbh4-0"></div></div></div></div></div><div id="find-result-marks-container" class="Box-sc-g0xbh4-0 cCoXib"></div><button hidden="" data-testid="" data-hotkey-scope="read-only-cursor-text-area"></button><button hidden=""></button></div> <!-- --> <!-- --> <script type="application/json" 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