
layout: blog_detail
title: 'PyTorch 1.10 Release, including CUDA Graphs APIs, Frontend and Compiler Improvements'
author: Team PyTorch

We are excited to announce the release of PyTorch 1.10. This release is composed of over 3,400 commits since 1.9, made by 426 contributors. We want to sincerely thank our community for continuously improving PyTorch. 
PyTorch 1.10 updates are focused on improving training and performance of PyTorch, and developer usability. The full release notes are available here. Highlights include:
1. CUDA Graphs APIs are integrated to reduce CPU overheads for CUDA workloads.
2. Several frontend APIs such as FX, torch.special, and nn.Module Parametrization, have moved from beta to stable.
3. Support for automatic fusion in JIT Compiler expands to CPUs in addition to GPUs.
4. Android NNAPI support is now available in beta.