What does it do?
It provides a PyTorch backend for Google's Tensor Processing Units (TPUs), which lets PyTorch models and operations run on TPU devices. [1] The project includes custom ATen kernels, which are operation implementations for PyTorch, and a compilation cache for optimizing execution. [2] It includes examples for distributed training and model inference. [3]
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| Package | Version | Downloads · 30d | Trend · 30d |
|---|---|---|---|
torch_tpuv0.2.0 | v0.2.0 | ≥7.6K |
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