
layout: blog_detail
title: 'PyTorch 1.7 released w/ CUDA 11, New APIs for FFTs, Windows support for Distributed training and more'
author: Team PyTorch

Today, we’re announcing the availability of PyTorch 1.7, along with updated domain libraries. The PyTorch 1.7 release includes a number of new APIs including support for NumPy-Compatible FFT operations, profiling tools and major updates to both distributed data parallel (DDP) and remote procedure call (RPC) based distributed training. In addition, several features moved to stable including custom C++ Classes, the memory profiler, extensions via custom tensor-like objects, user async functions in RPC and a number of other features in torch.distributed such as Per-RPC timeout, DDP dynamic bucketing and RRef helper. 
A few of the highlights include:
* CUDA 11 is now officially supported with binaries available at PyTorch.org