
All models in torchvision are now torchscriptable making them easier to ship into non-Python production environments
ResNets, MobileNet, ShuffleNet, GoogleNet and InceptionV3 now have quantized counterparts with pre-trained models, and also include scripts for quantization-aware training.
In partnership with the Microsoft team, we’ve added ONNX support for all models including Mask R-CNN.

Learn more about torchvision 0.5 here.
torchaudio 0.4
Improvements in torchaudio 0.4 focus on enhancing the currently available transformations, datasets, and backend support. Highlights include:

SoX is now optional, and a new extensible backend dispatch mechanism exposes SoundFile as an alternative to SoX.
The interface for datasets has been unified. This enables the addition of two large datasets: LibriSpeech and Common Voice.
