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‎.github/scale-config.yml

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‎.github/workflows/check-quickstartmodule.yml

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strategy:
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fail-fast: false
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matrix:
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rel_type: [ "latest_stable", "latest_lts" ]
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acc_type: [ "cuda11.x", "cuda10.2", "accnone" ]
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py_vers: [ "3.7", "3.8", "3.9" ]
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os: ["ubuntu-18.04", "macos-latest", "windows.4xlarge"]
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# We don't actively build for CUDA 10.2 on windows so we should
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# skip it in our test matrix for pip install
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rel_type: ["latest_stable", "latest_lts"]
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acc_type: ["cuda.x", "cuda.y", "accnone"]
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py_vers: ["3.7", "3.8", "3.9", "3.10"]
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os: ["ubuntu-18.04", "macos-latest", "windows.2022.small"]
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exclude:
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- os: "windows.4xlarge"
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acc_type: "cuda10.2"
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- rel_type: "latest_lts"
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py_vers: "3.10"
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env:
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TEST_ACC: ${{ matrix.acc_type }}
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TEST_VER: ${{ matrix.rel_type }}
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strategy:
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fail-fast: false
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matrix:
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rel_type: [ "latest_stable" ]
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acc_type: [ "cuda11.x", "cuda10.2", "accnone" ]
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py_vers: [ "3.7", "3.8", "3.9" ]
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rel_type: ["latest_stable"]
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acc_type: ["cuda.x", "cuda.y", "accnone"]
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py_vers: ["3.7", "3.8", "3.9", "3.10"]
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os: ["ubuntu-18.04", "macos-latest"]
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env:
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TEST_ACC: ${{ matrix.acc_type }}

‎404.html

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layout: general
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---
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<!DOCTYPE html>
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<html>
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<body>
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<div style="text-align: center;">
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<img src="{{ site.baseurl }}/assets/images/404_sign.png" />
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<h1>Oops!</h1>
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<h4>You've reached a dead end.</h4>
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<h4>
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If you feel like something should be here, you can <a href="https://github.com/pytorch/pytorch.github.io/issues">open an issue</a> on GitHub.
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</h4>
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<h4>
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Click <a href="/">here</a> to go back to the main page.
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</h4>
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</div>
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</body>
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</html>
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<script type="text/javascript" charset="utf-8">
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const FALLBACK_URL = '';
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const REDIRECT_STYLE = {
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// Redirect completely, appending the path to the newly specified location.
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// This is useful for project renames or moving to a different org.
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FULL: 0,
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// Redirect to the specific location, losing path information
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// This is useful when you just want to capture the audience to known working page.
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SIMPLE: 1,
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// Redirect to the project's 404 page, injecting the original URL.
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FOUROHFOUR_DEFAULT: 2,
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// Redirect to the specified path, replacing ${from} with the original URL.
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FOUROHFOUR_CUSTOM: 3,
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};
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const PROJECTS = {
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live: {
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location: 'https://playtorch.dev/',
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style: REDIRECT_STYLE.FULL,
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},
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};
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// eg "https://facebook.github.io/flux/docs/overview/"
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const ORIGINAL_URL = window.location.href;
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// eg [ "", "flux", "docs", "overview", "" ]
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const PATH_PARTS = window.location.pathname.split('/');
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// eg "flux"
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const PROJECT = PATH_PARTS[1];
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// eg "docs/overview/"
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const SUBPATH = PATH_PARTS.slice(2).join('/');
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// Perform the redirect only for explicitly defined projects.
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// Otherwise show the 404 page below
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if (PROJECTS.hasOwnProperty(PROJECT)) {
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let newUrl = '';
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let project = PROJECTS[PROJECT];
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switch (project.style) {
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case REDIRECT_STYLE.FULL:
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newUrl = project.location + SUBPATH;
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break;
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case REDIRECT_STYLE.SIMPLE:
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newUrl = project.location;
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break;
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case REDIRECT_STYLE.FOUROHFOUR_DEFAULT:
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newUrl = project.location + '404.html?from=' + ORIGINAL_URL;
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break;
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case REDIRECT_STYLE.FOUROHFOUR_CUSTOM:
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newUrl = project.location.replace('${from}', ORIGINAL_URL);
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break;
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default:
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newUrl = FALLBACK_URL;
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}
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if (newUrl !== '') {
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window.location.href = newUrl;
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}
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}
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</script>
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<div style="text-align: center;">
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<img src="{{ site.baseurl }}/assets/images/404_sign.png" />
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<h1>Oops!</h1>
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<h4>You've reached a dead end.</h4>
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<h4>
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If you feel like something should be here, you can <a href="https://github.com/pytorch/pytorch.github.io/issues">open an issue</a> on GitHub.
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</h4>
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<h4>
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Click <a href="/">here</a> to go back to the main page.
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</h4>
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</div>

‎Gemfile.lock

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jekyll-seo-tag (~> 2.1)
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minitest (5.14.4)
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multipart-post (2.1.1)
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nokogiri (1.13.6)
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nokogiri (1.13.9)
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mini_portile2 (~> 2.8.0)
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racc (~> 1.4)
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thread_safe (0.3.6)
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typhoeus (1.4.0)
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ethon (>= 0.9.0)
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tzinfo (1.2.9)
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tzinfo (1.2.10)
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thread_safe (~> 0.1)
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unf (0.1.4)
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unf_ext
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RUBY VERSION
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ruby 2.6.10p210
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BUNDLED WITH
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1.17.2

‎_board_info/advanced-micro-devices.md

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---
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title: AMD
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summary: ''
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link: https://amd.com
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image: /assets/images/announcement-logo-amd.jpg
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class: pytorch-resource
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order: 1
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featured-home: true
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---

‎_board_info/amazon-web-services.md

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title: Amazon
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summary: ''
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link: https://aws.amazon.com
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image: /assets/images/announcement-logo-aws.jpg
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class: pytorch-resource
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order: 2
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featured-home: true
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‎_board_info/google-cloud.md

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title: Google Cloud
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summary: ''
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link: https://cloud.google.com/gcp
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image: /assets/images/announcement-logo-google.png
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class: pytorch-resource
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order: 3
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featured-home: true
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---

‎_board_info/meta.md

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title: Meta
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summary: ''
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link: https://meta.com
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image: /assets/images/announcement-logo-meta.jpg
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class: pytorch-resource
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order: 4
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featured-home: true
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---

‎_board_info/microsoft-corporation.md

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---
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title: Microsoft
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summary: ''
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link: https://azure.microsoft.com
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image: /assets/images/announcement-logo-microsoft.jpg
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class: pytorch-resource
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order: 5
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featured-home: true
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---

‎_board_info/nvidia-corporation.md

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title: Nvidia
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summary: ''
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link: https://www.nvidia.com/en-us/ai-data-science/
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image: /assets/images/announcement-logo-nvidia.jpg
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class: pytorch-resource
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order: 5
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featured-home: true
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---

‎_config.yml

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board_info:
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output: true
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‎_events/pytorch_conference–dec_2nd_2022.md

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---
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category: event
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title: PyTorch Conference – Dec 2nd 2022
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date: December 2, 2022
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header-image: assets/images/pytorch_conference–dec_2nd_2022.gif
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---
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Join us for our flagship conference experience. Apply Now to attend in person.
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We are excited to announce that the PyTorch Conference returns in-person as a satellite event to [NeurlPS](https://nips.cc/) (<font size="3">Neural Information Processing Systems</font>) in New Orleans on Dec. 2nd. This is an opportunity to be part of the biggest PyTorch event of the year!
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**When**: Dec 2nd, 2022
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**Where**: New Orleans, Louisiana (USA) at Generations Hall &#124; _Virtual option as well_
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**What**: The PyTorch Conference brings together leading academics, researchers and developers from the Machine Learning community to learn more about software releases on PyTorch, ways PyTorch is being used in academia and industry, development in trends, and more.
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Join us for technical talks, project deep dives, and a poster exhibition with the opportunity to meet the authors to learn more about their PyTorch projects and network with the machine learning community. There will also be a virtual option for those who can’t join in-person. More information will be shared soon.
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For more information please visit our [Facebook Event page](https://fb.me/e/29RoWnqBX) for virtual livestream information or [https://pytorchconference22.splashthat.com](https://pytorchconference22.splashthat.com) for full details.
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**FAQs**
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Q: Is there a fee to attend the PyTorch Conference?
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A: There is no registration fee to attend the conference, however attendees are responsible for their own travel, and accommodations.
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Q: Is The PyTorch Conference affiliated with NeurIPS?
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A: As a satellite event, we have to use NeurlPS's hotel portal for reservations, however aside from that our events are independent of one another, meaning registration to our event does not grant you access to NeurlPS and vice versa.
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Q: When will I find out if I have been confirmed for the in-person conference?
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A: The PyTorch Team will be following up with applicants in the next few weeks.
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**Questions**: Contact pytorch-marketing@fb.com

‎_events/pytorch_foundation.md

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---
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category: event
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title: 'Webinar: PyTorch, a Foundation for Open Source AI/ML'
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date: September 28, 2022
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header-image: assets/images/Event-Webinar-PyTorch-a-foundation-for-open-source.png
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---
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**Date:** Thursday, September 28, 2022 at 7:30am PT
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Join us for a conversation between Soumith Chintala and Ibrahim Haddad about the creation of PyTorch Foundation. Over 150,000 developers and 18,000 organizations work with PyTorch today. In this conversation you will learn about:
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- PyTorch’s evolution as an open source project
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- Where PyTorch is used in production environments and in academic settings
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- Next steps for the project under the PyTorch Foundation
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[Register here](https://www.linuxfoundation.org/webinars/pytorch-a-foundation-for-open-source-ai-ml?hsLang=en)

‎_get_started/installation/aws.md

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* [Windows](https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/EC2_GetStarted.html){:target="_blank"}
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* [Command-line](https://docs.aws.amazon.com/cli/latest/userguide/cli-using-ec2.html){:target="_blank"}
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## AWS SageMaker
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## Amazon SageMaker
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{: #amazon-sagemaker}
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See AWS documentation to learn [how to configure Amazon SageMaker with PyTorch]((https://docs.aws.amazon.com/sagemaker/latest/dg/pytorch.html)).
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See AWS documentation to learn [how to configure Amazon SageMaker with PyTorch](https://docs.aws.amazon.com/sagemaker/latest/dg/pytorch.html).
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## Pre-Built AMIs
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{: #aws-amis}

‎_get_started/installation/azure.md

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## PyTorch Enterprise on Azure
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{: #pytorch-enterprise-on-azure}
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Microsoft is one of the founding members and also the inaugural participant of the [PyTorch Enterprise Support Program](https://pytorch.org/enterprise-support-program). Microsoft offers PyTorch Enterprise on Azure as a part of Microsoft [Premier](https://www.microsoft.com/en-us/msservices/premier-support) and [Unified](https://www.microsoft.com/en-us/msservices/unified-support-solutions?activetab=pivot1:primaryr4) Support. The PyTorch Enterprise support service includes long-term support to selected versions of PyTorch for up to 2 years, prioritized troubleshooting, and the latest integration with [Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning/) and other PyTorch add-ons including ONNX Runtime for faster inference. 
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## Azure Primer
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{: #microsoft-azure-primer}
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‎_get_started/installation/google-cloud.md

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## Google Cloud Primer
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In order to use Google Cloud, you need to set up an [Google account](https://accounts.google.com/){:target="_blank"}, if you do not have one already. You will create a username (typically an `@gmail.com` email address) and password. After words, you will be able to [try Google Cloud](https://console.cloud.google.com/freetrial){:target="_blank"}. You will also provide contact and billing information. The billing information is initially used to prove you are a real person. And then, after your trial, you can choose to upgrade to a paid account.
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In order to use Google Cloud, you need to set up an [Google account](https://accounts.google.com/){:target="_blank"}, if you do not have one already. You will create a username (typically an `@gmail.com` email address) and password. Afterwards, you will be able to [try Google Cloud](https://console.cloud.google.com/freetrial){:target="_blank"}. You will also provide contact and billing information. The billing information is initially used to prove you are a real person. And then, after your trial, you can choose to upgrade to a paid account.
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Once you are logged in, you will be brought to your [Google Cloud console](https://console.cloud.google.com/){:target="_blank"}. You can even learn more about Google Cloud through a set of [simple tutorials](https://console.cloud.google.com/getting-started){:target="_blank"}.
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