
TorchAudio - Added wav2vec 2.0 model deployable in non-Python environments (including C++, Android, and iOS). Many performance improvements in lfilter, spectral operations, resampling. Added options for quality control in sampling (i.e. Kaiser window support). Initiated the migration of complex tensors operations. Improved autograd support. See release notes here.
TorchText - Added a new high-performance Vocab module that provides common functional APIs for NLP workflows. See release notes here.

We’d like to thank the community for their support and work on this latest release.
Features in PyTorch releases are classified as Stable, Beta, and Prototype. You can learn more about the definitions in this blog post. 
TorchVision 0.10
(Stable) Quantized kernels for object detection