Updated Domain Libraries
torchvision 0.7
torchvision 0.7 introduces two new pretrained semantic segmentation models, FCN ResNet50 and DeepLabV3 ResNet50, both trained on COCO and using smaller memory footprints than the ResNet101 backbone. We also introduced support for AMP (Automatic Mixed Precision) autocasting for torchvision models and operators, which automatically selects the floating point precision for different GPU operations to improve performance while maintaining accuracy. 

Release notes (Link)

torchaudio 0.6
torchaudio now officially supports Windows. This release also introduces a new model module (with wav2letter included), new functionals (contrast, cvm, dcshift, overdrive, vad, phaser, flanger, biquad), datasets (GTZAN, CMU), and a new optional sox backend with support for TorchScript.

Release notes (Link)
