Dec 1, 2025 · PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

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 (API …

Jun 13, 2022 · torch.library is a collection of APIs for extending PyTorch’s core library of operators. It contains utilities for testing custom operators, creating new custom operators, and extending …

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 bleeding edge …

Introduction to Torch’s tensor library # All of deep learning is computations on tensors, which are generalizations of a matrix that can be indexed in more than 2 dimensions. We will see exactly what …

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 incorporating ML …

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 scheme, using …

Familiarize yourself with PyTorch concepts and modules. Learn how to load data, build deep neural networks, train and save your models in this quickstart guide.

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 supports …

Library API # Welcome to the developer reference for the PyTorch C++ API. Full API # Namespaces # Namespace at Namespaces Classes Functions Typedefs