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.
November 03, 2022
Extending TorchVision’s Transforms to Object Detection, Segmentation & Video tasks
Note: A previous version of this post was published in November 2022. We have updated this post with the most up-to-date info, in view of the upcoming 0.15 release of torchvision in March 2023, jointly with PyTorch 2.0.
October 28, 2022
PyTorch 1.13 release, including beta versions of functorch and improved support for Apple’s new M1 chips.
We are excited to announce the release of PyTorch® 1.13 (release note)! This includes Stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincere...
