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

To ensure that PyTorch was installed correctly, we can verify the installation by running sample PyTorch code. Here we will construct a randomly initialized tensor.

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: …

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 …

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 enables fast, flexible experimentation and efficient production through a user-friendly front-end, distributed training, and ecosystem of tools and libraries.

Many tools in the PyTorch Ecosystem use fork to create subprocesses (for example dataloading or intra-op parallelism), it is thus important to delay as much as possible any operation that …

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 …

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 …

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.