Highlights: JIT: a set of compiler tools for bridging the gap between research in PyTorch and production Brand New Distributed Package: The torch.distributed package and torch.nn.parallel.DistributedDataParallel module are backed by a brand new re-designed distributed library C++ Frontend [API Unstable]: a pure C++ interface to the PyTorch backend that follows the API and architecture of the established Python frontend Torch Hub: Torch Hub is a pre-trained model repository designed to facilitate research reproducibility.
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