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Spyre connects PyTorch device, storage, streams and Inductor to its runtime

pytorch.org 21 min read Editor score 7/10

The integration maps PyTorch device identity, allocator-backed storage, streams and compiled launches onto Spyre’s runtime and firmware. It offers a concrete example of connecting accelerator hardware to PyTorch’s execution abstractions.

What: Spyre becomes a native PyTorch device through torch-spyre, connecting PyTorch abstractions to the Spyre runtime and firmware.
How: Device identity, allocator-backed storage, streams, and runtime events map PyTorch execution onto Spyre’s queues and compiled programs.
Why it matters: Keeping tensors on-device and using lightweight launches helps reduce overhead and overlap host work and transfers with computation.

torch-spyre links PyTorch to Spyre’s runtime and firmware. Sketched from the article's own text.

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