Key features of PyTorch v1.1 include:

TensorBoard: First-class and native support for visualization and model debugging with TensorBoard, a web application suite for inspecting and understanding training runs and graphs. PyTorch now natively supports TensorBoard with a simple “from torch.utils.tensorboard import SummaryWriter” command.
JIT compiler: Improvements to just-in-time (JIT) compilation. These include various bug fixes as well as expanded capabilities in TorchScript, such as support for dictionaries, user classes, and attributes.
New APIs: Support for Boolean tensors and better support for custom recurrent neural networks.
