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by Team PyTorch We’re pleased to announce the alpha release of torchtune, a PyTorch-native library for easily fine-tuning large language models. Staying true to PyTorch’s design principles, torchtune provides composable and modular building blocks along with easy-to-extend training recipes to fine-tune popular LLMs on a variety of consumer-grade and professional GPUs. torchtune supports the full f

by Team PyTorch This post is the first part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of newly released PyTorch performance features alongside practical examples of how these features can be combined to see how far we can push PyTorch native performance. As announced during the PyTorch Developer Conference

Micro-benchmark of the multi-head attention, run-time in us. Flash-Decoding achieves almost constant run-time as the sequence length scales to up to 64k. The up to 8x speedup end-to-end measured earlier is made possible because the attention itself is up to 50x faster than FlashAttention. Up until sequence length 32k, the attention time is roughly constant, because Flash-Decoding manages to fully

Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn more. Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series

*To see a full list of public 2.0, 1.13 and 1.12 feature submissions click here. Stable Features [Stable] Accelerated PyTorch 2 Transformers The PyTorch 2.0 release includes a new high-performance implementation of the PyTorch Transformer API. In releasing Accelerated PT2 Transformers, our goal is to make training and deployment of state-of-the-art Transformer models affordable across the industry

Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn more. Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series

Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series Master PyTorch basics with our engaging YouTube tutorial series

by Meta AI - Donny Greenberg, Colin Taylor, Dmytro Ivchenko, Xing Liu, Anirudh Sudarshan We are excited to announce TorchRec, a PyTorch domain library for Recommendation Systems. This new library provides common sparsity and parallelism primitives, enabling researchers to build state-of-the-art personalization models and deploy them in production. How did we get here? Recommendation Systems (RecSy

by Suraj Subramanian, Mark Saroufim, Jerry Zhang Quantization is a cheap and easy way to make your DNN run faster and with lower memory requirements. PyTorch offers a few different approaches to quantize your model. In this blog post, we’ll lay a (quick) foundation of quantization in deep learning, and then take a look at how each technique looks like in practice. Finally we’ll end with recommenda

by Preferred Networks, Inc. This blog post is based on PyTorch version 1.8, although it should apply for older versions too, since most of the mechanics have remained constant. To help understand the concepts explained here, it is recommended that you read the awesome blog post by @ezyang: PyTorch internals if you are not familiar with PyTorch architecture components such as ATen or c10d. What is

Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn more. Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series

Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series Master PyTorch basics with our engaging YouTube tutorial series

by Team PyTorch We are excited to announce the availability of PyTorch 1.8. This release is composed of more than 3,000 commits since 1.7. It includes major updates and new features for compilation, code optimization, frontend APIs for scientific computing, and AMD ROCm support through binaries that are available via pytorch.org. It also provides improved features for large-scale training for pipe

PyTorch Recipes See All Recipes See All Prototype Recipes Introduction to PyTorch Learn the Basics Quickstart Tensors Datasets & DataLoaders Transforms Build the Neural Network Automatic Differentiation with torch.autograd Optimizing Model Parameters Save and Load the Model Introduction to PyTorch on YouTube Introduction to PyTorch - YouTube Series Introduction to PyTorch Introduction to PyTorch T

Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series Master PyTorch basics with our engaging YouTube tutorial series

Deep Learning with PyTorch Download a free copy of the full book and learn how to get started with AI / ML development using PyTorch Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes: Introduction to deep learning and the PyTorch library Pre-trained n

Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn more. Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series

Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series Master PyTorch basics with our engaging YouTube tutorial series

Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn more. Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series

Join us in Silicon Valley September 18-19 at the 2024 PyTorch Conference. Learn more. Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series

Learn Get Started Run PyTorch locally or get started quickly with one of the supported cloud platforms Tutorials Whats new in PyTorch tutorials Learn the Basics Familiarize yourself with PyTorch concepts and modules PyTorch Recipes Bite-size, ready-to-deploy PyTorch code examples Intro to PyTorch - YouTube Series Master PyTorch basics with our engaging YouTube tutorial series