by Team PyTorch
Today, we are announcing updates to a number of PyTorch libraries, alongside the PyTorch 1.9 release. The updates include new releases for the domain libraries including TorchVision, TorchText and TorchAudio. These releases, along with the PyTorch 1.9 release, include a number of new features and improvements that will provide a broad set of updates for the PyTorch community.
Features in PyTorch releases are classified as Stable, Beta, and Prototype. You can learn more about the definitions in this blog post.
The forward pass of the nms and roi_align operators now support tensors with a quantized dtype, which can help lower the memory footprint of object detection models, particularly on mobile environments. For more details, refer to the documentation.
Significant improvements were made to the documentation. In particular, a new gallery of examples is available. These examples visually illustrate how each transform acts on an image, and also properly documents and illustrates the output of the segmentation models.