Jul 17, 2025 · PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

For the majority of PyTorch users, installing from a pre-built binary via a package manager will provide the best experience. However, there are times when you may want to install the …

PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment. Built to offer maximum flexibility and speed, PyTorch …

PyTorch documentation PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status: Stable: …

Apr 23, 2025 · We are excited to announce the release of PyTorch® 2.7 (release notes)! This release features: support for the NVIDIA Blackwell GPU architecture and pre-built wheels for …

PyTorch supports an end-to-end workflow from Python to deployment on iOS and Android. It extends the PyTorch API to cover common preprocessing and integration tasks needed for …

Within the PyTorch repo, we define an “Accelerator” as a torch.device that is being used alongside a CPU to speed up computation. These device use an asynchronous execution …

Most machine learning workflows involve working with data, creating models, optimizing model parameters, and saving the trained models. This tutorial introduces you to a complete ML …

PyTorch offers domain-specific libraries such as TorchText, TorchVision, and TorchAudio, all of which include datasets. For this tutorial, we will be using a TorchVision dataset.

Introducing PyTorch 2.0, our first steps toward the next generation 2-series release of PyTorch. Over the last few years we have innovated and iterated from PyTorch 1.0 to the most recent …