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Using Intel® Extension for PyTorch to Boost Image Processing Performance PyTorch delivers great CPU performance,…

Hidet is a powerful deep learning compiler that simplifies the process of implementing high-performing deep learning…

TL;DR. We show how to use Accelerated PyTorch 2.0 Transformers and the newly introduced torch.compile() method to accelerate…

PyTorch 2.0 represents a significant step forward for the PyTorch machine learning framework. The stable…

TL;DR: PyTorch 2.0 nightly offers out-of-the-box performance improvement for Generative Diffusion models by using the…

PyTorch DDP has been widely adopted across the industry for distributed training, which by default runs…

Congratulations to the PyTorch Foundation for its release of PyTorch 2.0! In this blog, I discuss…

As we celebrate the release of OpenXLA, PyTorch 2.0, and PyTorch/XLA 2.0, it’s worth taking a step back…

The PyTorch 2.0 release includes a new high-performance implementation of the PyTorch Transformer API with…

Today, we are excited to share our latest work for PyTorch/XLA 2.0. The release of PyTorch 2.0 is…

PyTorch 2.0 has just been released. Its flagship new feature is torch.compile(), a one-line code change…

We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22!…

Summary We are bringing a number of improvements to the current PyTorch libraries, alongside the PyTorch…

Last year, Meta announced that PyTorch joined the Linux Foundation as a neutral home for growing the…

For the upcoming PyTorch 2.0 feature release (target March 2023), we will target CUDA 11.7…

We are excited to announce the public release of Holistic Trace Analysis (HTA), an open…