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Google open-sources TorchTPU, a PyTorch backend for TPUs

github.com 4 min read Editor score 8/10

TorchTPU provides ATen kernels, a compilation cache, distributed training support and examples for model inference, with integration for torch.compile(). It gives engineers a new route to running PyTorch workloads on Google TPUs.

What

• TorchTPU is a PyTorch backend for running models and operations on Google's TPU devices.

How

• It provides custom ATen kernels, a compilation cache for XLA computations, distributed-training support and torch.compile() integration.

Why it matters

• Engineers can use PyTorch workloads on TPUs, including distributed training and inference, with debugging and benchmarking utilities.

Read on github.com → Hacker News · 68 comments

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