6 days ago · 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 …

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 …

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 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 …

Adam # class torch.optim.Adam(params, lr=0.001, betas=(0.9, 0.999), eps=1e-08, weight_decay=0, amsgrad=False, *, foreach=None, maximize=False, capturable=False ...

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.

Aug 11, 2020 · The WebDataset I/O library for PyTorch, together with the optional AIStore server and Tensorcom RDMA libraries, provide an efficient, simple, and standards-based solution to …

Oct 22, 2025 · Torchforge builds heavily on top of Monarch, a PyTorch-native distributed programming framework based on scalable actor messaging. What Monarch gives us is a …

verl: Flexible and Scalable Reinforcement Learning Library for LLM Reasoning and Tool-Calling August 6 @ 11:00 am - 12:00 pm