December 02, 2022
Get Started with PyTorch 2.0 Summary and Overview
Introducing PyTorch 2.0, our first steps toward the next generation 2-series release of PyTorch. Over the last few years we have innovated and iterated from PyTorch 1.0 to the most recent 1.13 and moved to the newly formed PyTorch Foundation, part of the Linux Foundation.
December 02, 2022
Accelerating Hugging Face and TIMM models with PyTorch 2.0
torch.compile() makes it easy to experiment with different compiler backends to make PyTorch code faster with a single line decorator torch.compile(). It works either directly over an nn.Module as a drop-in replacement for torch.jit.script() but without requiring you to make any source code changes. We expect this one line code change to provide you with between 30%-2x training time speedups on the vast majority of models that you’re already running.
November 28, 2022
Optimizing Production PyTorch Models’ Performance with Graph Transformations
1. Introduction
November 21, 2022
Scaling Multimodal Foundation Models in TorchMultimodal with Pytorch Distributed
Introduction
November 17, 2022
Introducing TorchMultimodal - a library for accelerating exploration in Multimodal AI
We are announcing TorchMultimodal Beta, a PyTorch domain library for training SoTA multi-task multimodal models at scale. The library provides composable building blocks (modules, transforms, loss functions) to accelerate model development, SoTA model architectures (FLAVA, MDETR, Omnivore) from published research, training and evaluation scripts, as well as notebooks for exploring these models. The library is under active development, and we’d love to hear your feedback! You can find more det...
November 10, 2022
PyTorch Enterprise Support Program Update
On May 25, 2021, we announced the PyTorch Enterprise Support Program (ESP) that enabled providers to develop and offer tailored enterprise-grade support to their customers.
