
Significant updates and improvements to distributed training including: Improved NCCL reliability; Pipeline parallelism support; RPC profiling; and support for communication hooks adding gradient compression.
See the full release notes here.

Along with 1.8, we are also releasing major updates to PyTorch libraries including TorchCSPRNG, TorchVision, TorchText and TorchAudio. For more on the library releases, see the post here. As previously noted, features in PyTorch releases are classified as Stable, Beta and Prototype. You can learn more about the definitions in the post here. 
New and Updated APIs