![]() ![]() ![]() An update for TorchX is also being released as it moves to community supported mode. For a comprehensive introduction and technical overview of pile, please visit the 2.0 Get Started page.Īlong with 2.0, we are also releasing a series of beta updates to the PyTorch domain libraries, including those that are in-tree, and separate libraries including TorchAudio, TorchVision, and TorchText. This next-generation release includes a Stable version of Accelerated Transformers (formerly called Better Transformers) Beta includes pile as the main API for PyTorch 2.0, the scaled_dot_product_attention function as part of torch.nn.functional, the MPS backend, functorch APIs in the torch.func module and other Beta/Prototype improvements across various inferences, performance and training optimization features on GPUs and CPUs. We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22! PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging how PyTorch operates at compiler level under the hood with faster performance and support for Dynamic Shapes and Distributed. ![]()
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