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Thunder – A new compiler for PyTorch that can use many device executors at once (github.com/lightning-ai)
11 points by wfalcon on March 23, 2024 | hide | past | favorite | 1 comment


Quoting from the readme, it embraces other executers, including torch.compile and also works with multiple GPUs:

> Thunder is a source-to-source compiler for PyTorch. It makes PyTorch programs faster by combining and using different hardware executors at once (ie: nvFuser, torch.compile, cuDNN, and TransformerEngine FP8).

Works on single accelerators and in multi-GPU settings. Thunder aims to be usable, understandable, and extensible.




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