
layout: blog_detail
title: 'PyTorch 1.5 released, new and updated APIs including C++ frontend API parity with Python'
author: Team PyTorch

Today, we’re announcing the availability of PyTorch 1.5, along with new and updated libraries. This release includes several major new API additions and improvements. PyTorch now includes a significant update to the C++ frontend, ‘channels last’ memory format for computer vision models, and a stable release of the distributed RPC framework used for model-parallel training. The release also has new APIs for autograd for hessians and jacobians, and an API that allows the creation of Custom C++ Classes that was inspired by pybind.
You can find the detailed release notes here.
C++ Frontend API (Stable)
The C++ frontend API is now at parity with Python, and the features overall have been moved to ‘stable’ (previously tagged as experimental). Some of the major highlights include: