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About

A PyTorch backend that lets users run PyTorch models and operations on Google TPU devices. It includes custom ATen kernels, a compilation cache for XLA computations, data and tensor parallel training, torch.compile integration, and examples for models such as Llama, Qwen, ResNet and UNet.

Intel on TorchTPU

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Tags

pytorchtpuxlamldistributed-traininggoogle

Tech Stack

Python

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