
layout: blog_detail
title: "Celebrate PyTorch 2.0 with New Performance Features for AI Developers"
author: Intel

Congratulations to the PyTorch Foundation for its release of PyTorch 2.0! In this blog, I discuss the four features for which Intel made significant contributions to PyTorch 2.0:

TorchInductor
GNN
INT8 Inference Optimization
oneDNN Graph API

We at Intel are delighted to be part of the PyTorch community and appreciate the collaboration with and feedback from our colleagues at Meta as we co-developed these features.
Let’s get started.
1. TorchInductor CPU FP32 Inference Optimized
As part of the PyTorch 2.0 compilation stack, TorchInductor CPU backend optimization brings notable performance improvements via graph compilation over the PyTorch eager mode.