3/30/2024 0 Comments Cuda driver apiOverall, version 1.10 contains more than 3,400 commits from 426 contributors since the 1.9 release. The release also includes TorchX, a new SDK for faster production deployment of deep-learning applications. Support for Android NNAPI has moved from prototype to stable, including the ability to run models on a host for test purposes. The release includes several updates for improved CPU performance, including an integration with CUDA Graphs APIs to reduce CPU overheads and an LLVM-based JIT compiler that can fuse multiple operations. The new release moves several distributed training features from beta status to stable, as well as the FX module and the torch.special module. The PyTorch team highlighted the major features of the release in a recent blog post. New versions of domain-specific libraries TorchVision and TorchAudio were also released. PyTorch, Facebook's open-source deep-learning framework, announced the release of version 1.10 which includes an integration with CUDA Graphs APIs and JIT compiler updates to increase CPU performance, as well as beta support for the Android Neural Networks API (NNAPI).
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