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UID:10000161-1777939200-1779235199@pytorch.org
SUMMARY:PyTorch Docathon 2026
DESCRIPTION:PyTorch Docathon 2026 (May 5–19)\, a community-powered\, hackathon-style sprint focused on making PyTorch documentation clearer\, more accurate\, and easier to use. Great docs are a force multiplier: they help new users ramp faster\, help experienced practitioners apply advanced features correctly\, and shorten the path from research to production in machine learning. \nRSVP now. \nAs AI development accelerates\, documentation matters even more. LLMs and AI agents increasingly rely on public technical documentation to learn APIs\, generate code\, and troubleshoot workflows. High-quality PyTorch docs don’t just help humans\, they help ensure AI-generated guidance is more accurate\, up-to-date\, and aligned with best practice. \nWHY PARTICIPATE \nThe Docathon is an inclusive event designed to be accessible to all levels of expertise from newcomers to experienced ML/PyTorch users. 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. \nEVENT DETAILS \n\nMay 5: Kick-off 10 AM PT\nMay 6 – May 15: Submissions and Feedback\nMay 16 – May 18: Final Reviews\nMay 20: Winner Announcements\n\nFurther details about the Docathon will be shared during the Live PyTorch Docathon Kick-off and Q&A on May 5. \nTo stay updated on the event\, please make sure to: \n\nRSVP here (you might need to login to RSVP)\nJoin the Discord server that we will be using for the event here
URL:https://pytorch.org/event/pytorch-docathon-2026/
CATEGORIES:PyTorch-hosted
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DTSTAMP:20260521T231154Z
CREATED:20260512T191045Z
LAST-MODIFIED:20260521T231154Z
UID:10000163-1779271200-1779318000@pytorch.org
SUMMARY:PyTorch 2.12 Release Live Q&A
DESCRIPTION:PyTorch 2.12 introduced major updates across compilation\, distributed systems\, export\, graph capture\, and accelerator support. Highlights included a new device-agnostic torch.accelerator.Graph API\, up to 100x faster batched eigenvalue decomposition on CUDA\, support for microscaling quantization formats in torch.export.save\, and expanded CUDA\, ROCm\, XPU\, MPS\, and Arm platform support. \nOn May 20\, Andrey Talman\, Alban Desmaison\, and Joe Spisak joined moderator Chris Gottbrath for a live Q&A covering the PyTorch 2.12 release. The panel provided an overview of the release and answered questions from the community live. \nTopics included: \n\nDevice-Agnostic Accelerator Graph Capture\nProcessGroup Support in Custom Ops\ntorch.export.save Support for Microscaling Quantization Formats\nFused Adagrad Optimizer Support\nFlightRecorder Updates\nMulti-GPU and Multi-Node Profiling Improvements\nUpdated Backend Selection for torch.linalg.eigh on CUDA\nExpanded CUDA\, ROCm\, XPU\, MPS\, and Arm Platform Support\n\nPanelists: Andrey Talman is a Software Engineer at Meta\, primarily focused on open source releases for PyTorch and its ecosystem libraries. He works on release management\, continuous integration\, and process improvements\, ensuring high-quality and timely delivery of PyTorch and related projects. \nAlban Desmaison is a Research Engineer at Meta and the Lead Core Maintainer of PyTorch. \nJoe Spisak is Vice President of Product and Head of Open Source at Reflection AI. He is a PyTorch core maintainer\, serves on the PyTorch Foundation Governing Board\, and previously worked at Meta. \nModerator \nChris Gottbrath is a Group Technical Program Manager supporting PyTorch at Meta and Chair of the PyTorch Foundation Marketing Committee.
URL:https://pytorch.org/event/pytorch-2-12-release-live-qa/
CATEGORIES:PyTorch-hosted
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