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_ecosystem/pytorch-geometric

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layout: ecosystem_detail
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title: PyTorch Geometric
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summary: PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds.
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link: https://github.com/rusty1s/pytorch_geometric
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link: https://github.com/pyg-team/pytorch_geometric/
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order: 15
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summary-home: PyTorch Geometric is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds.
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featured-home: true
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redirect_to: https://github.com/rusty1s/pytorch_geometric
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github-id: rusty1s/pytorch_geometric
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redirect_to: https://github.com/pyg-team/pytorch_geometric/
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github-id: pyg-team/pytorch_geometric
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date-added: 7/14/19
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---

_events/docathon-2024.md

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---
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category: event
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title: "PyTorch Docathon 2024"
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date: June 4, 2024
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poster: assets/images/docathon-2024.png
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---
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**Join us for our 3rd PyTorch Docathon June 4-20th**
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**Date**: June 4 - 20th, 2024
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<a href="https://hubs.la/Q02xrG5Z0">
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<img style="width:100%" src="/assets/images/docathon-2024.png" alt="PyTorch Docathon banner">
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</a>
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The Docathon, similar to a hackathon, is an event focused on improving PyTorch documentation with help from our community. Quality documentation is crucial for any technology, and by enhancing it, we make it easier for new users to start with PyTorch, use its features effectively, and accelerate the shift from research to production in machine learning. See our previous events here and here.
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#### Why Participate
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The Docathon is an inclusive event designed to be accessible to newcomers, requiring only a basic understanding of Python, PyTorch, and Machine Learning, with some tasks not even requiring these skills. It offers a rewarding experience as participants can see the direct impact of their contributions on the project's usability and accessibility. The Docathon promotes a collaborative environment, allowing participants to work with other contributors and PyTorch maintainers, fostering the exchange of ideas and networking. It also provides a rich learning experience, offering the opportunity to explore PyTorch modules, update docstrings, and test tutorials.
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#### Event Details
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- **June 4**: Kick-off
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- **June 4 - 16**: Submissions and Feedback
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- **June 17 - 18**: Final Reviews
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- **June 20**: Winner Announcements
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Further details for the Docathon will be announced at the Kick-off call on June 4.
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[Register here](https://hubs.la/Q02xrG5Z0)

_get_started/previous-versions.md

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## Commands for Versions >= 1.0.0
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### v2.3.0
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#### Conda
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##### OSX
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```
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# conda
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conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 -c pytorch
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```
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##### Linux and Windows
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```
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# CUDA 11.8
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conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 pytorch-cuda=11.8 -c pytorch -c nvidia
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# CUDA 12.1
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conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 pytorch-cuda=12.1 -c pytorch -c nvidia
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# CPU Only
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conda install pytorch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 cpuonly -c pytorch
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```
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#### Wheel
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##### OSX
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```
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pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0
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```
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##### Linux and Windows
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```
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# ROCM 6.0 (Linux only)
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pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/rocm6.0
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# CUDA 11.8
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pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu118
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# CUDA 12.1
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pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu121
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# CPU only
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pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cpu
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```
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### v2.2.2
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#### Conda

_posts/2024-05-02-docathon-june-2024.md

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## Event Details
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**June 4**: Kick-off
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**June 4-June 16**: Submissions and Feedback
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**June 17-18**: Final Reviews
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**June 4 - 16**: Submissions and Feedback
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**June 17 - 18**: Final Reviews
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**June 20**: Winner Announcements
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Further details for the Docathon will be announced at the Kick-off call on June 4.
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---
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layout: blog_detail
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title: "Ready, Set, Contribute: PyTorch Docathon Kickoff H1 2024"
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---
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The PyTorch Docathon is now live! This event is dedicated to enhancing the quality of the PyTorch documentation with the invaluable assistance of our community. Our hope with this Docathon is to simplify the process for new users to get started with PyTorch, guide them in effectively utilizing its features, and ultimately expedite the transition from research to production in machine learning.
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<p style="text-align: center;"><a href="https://discord.com/events/878249534336167987/1245440397510180907" target="_blank">JOIN THE KICK-OFF EVENT</a><br>
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on June 4th at 10 AM PT</p>
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## Event Details
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* June 4: Kick-off - join a 30-minutes livestream kick off event on Discord on June 4th at 10 AM PT [here](https://discord.com/events/878249534336167987/1245440397510180907). If you can't join the kick-off event, watch our [welcome video](https://youtu.be/2D0aej50umA) on YouTube
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* June 4-June 16: Submissions and Feedback
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* June 17-18: Final Reviews
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* June 20: Winner Announcements
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## How to Contribute
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Review the Docathon H1 2024 issue in the [pytorch/pytorch](https://github.com/pytorch/pytorch/issues/127345) or[ pytorch/tutorials ](https://github.com/pytorch/tutorials/issues/2894)repo that contain all the necessary information on participating in the Docathon and highlights the specific issues to work on. Remember to sign the CLA in your first PR and adhere to the Code of Conduct guidelines.
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## Read the Code of Conduct
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Take a moment to review the PyTorch code of conduct found [here](https://docs.github.com/en/site-policy/github-terms/github-community-code-of-conduct). This document outlines the expectations for behavior and communication within our team, and it is important that everyone is aware of and adheres to these guidelines.
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## Join our Discord
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This channel serves as the main communication hub during the Docathon. You can join it using by using this link:
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<p style="text-align: center;"><a href="https://discord.gg/NVYWkYQ6p5" target="_blank">JOIN DISCORD SERVER</a></p>
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When you first join the server, you will have limited access. To gain full access to our Discord PyTorch Docathon Channel:
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1. Enter the server and navigate to the #self-roles channel.
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2. In the #self-roles channel, click on the 'Join Docathon' button in the relevant post to assign yourself the docathon role.
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3. After assigning the role, you will see the 'PyTorch Docathon H1 2024 Section' in the left-hand menu for discussions.
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4. To help prevent spam we are asking that you change your server username to your GitHub username or the email username you registered with.
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## Explore the GitHub Issues
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All the Docathon issues are posted on GitHub. You can find them by the docathon-h1-2024 label in the following participating repositories:
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* [pytorch/pytorch](https://github.com/pytorch/pytorch/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc+label%3Adocathon-h1-2024)
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* [pytorch/tutorials](https://github.com/pytorch/tutorials/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc+label%3Adocathon-h1-2024)
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* [pytorch/xla](https://github.com/pytorch/xla/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc+label%3A%22docathon-h1-2024%22)
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* [pytorch-labs/torchfix](https://github.com/pytorch-labs/torchfix/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc+label%3Adocathon-h1-2024)
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The issues are categorized into three levels of difficulty: easy, medium, and advanced. If this is your first time contributing to PyTorch, we recommend starting with an issue at the easy level.
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## Prizes for Winners
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We will have a leaderboard throughout the duration of the Docathon. The more you contribute, the higher you’ll get on the board! Our top three winners will get free admission to [PyTorch Conference 2024](https://events.linuxfoundation.org/pytorch-conference/).
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## Thank you to our Partners
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This year, we’re thrilled to work with the PyTorch Teams at Meta, Google and Snowflake to help us put on a successful event. We’ll also be at [Snowflake Dev Day](https://u20934166.ct.sendgrid.net/ls/click?upn=u001.I0np5LuiPyKW16wNY408Oo-2Bbsl8LTTFpumobGm2Rp-2F8zbPScG1hdhIF5oBHMWg96q8d7q31-2B1wRrzDpeTgLDCD6FBreEsZKA-2Fi2T-2BA2upbvMD1hmAnpEutE9KOQuxVZnSlQQ1xyyTXB16qRa8VpgLD4ScqnpqqdSffoL4rKHjpyoVMVMoxCsEuKcHJfDWGiMECgZDoegcf9j7bnJPdx0qXN4phU37F77vSXetvmrfy1t6YtpSvgX2eACaznmpmFNfyRtlDRsfdY8YgoZN3rkCMoL0bwCFXdt-2FvIZawhnUV2qppyS0ZgmSCGl-2BufBL0mn8HJIew4LxuXuUB3gfsWD1K6Hb2oiECdgEL-2BK-2BZ6OVUBbdfsupYb6tlGTA2Ic6jTTOODdc5-2B1RKMxIBw1-2FcC8Dzd4uxjdIqgrF4vQ0zdGsVXr2rsWISdAzRwwZ6HxvPYiL8vq_eKG3f-2BVkGDs-2F-2BQAgHZwkvtAslantAPMulCPu-2FMezvzmhqnecR6Zi4bBfzHqa-2BAIYrvYiOg1COidzFz394ty6L-2FhCaPa85b-2BvNqP8-2BnHbrX2cxmOcMxJolrQzGKT9AZVkURRXc3AUORnPJRfwJ32v8Dp-2Fpx9b2Kf973NO10Vsxu9GvjAtGFxlGl-2Bgjhs0tu8Jlhj-2BCG2lXGsFGXnxI1t1hw-3D-3D) on June 6 where you can hear from Meta’s Matthias Reso, and check out our PyTorch booth.
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Happy contributing!

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