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TorchAO

PyTorch's official architecture optimization library, providing quantization, low-precision formats (such as FP8 and INT8), and other performance optimization capabilities to accelerate both model training and inference.

Timeline (last 90 days)

Oct 13

Compared with TorchAO's 4-bit AdamW, ZIP-SR and ZE-EDEN reduce the average validation loss gap relative to 32-bit AdamW at every evaluated scale, with a maximum gap reduction of 70%.

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Sep 11

AMD has officially upstreamed FP8 training optimizations into PyTorch's official pytorch/AO and pytorch/TorchTitan repositories.

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Sep 11

TorchAO is PyTorch's architecture optimization library, responsible for performance optimization features such as quantization and low precision.

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