IBM's torch-spyre Makes Spyre Accelerator a Native PyTorch Device
Overview
IBM's torch-spyre team has integrated Spyre, its dataflow inference accelerator, as a native PyTorch device, according to a first-party PyTorch Blog post.
The integration maps PyTorch's device, allocator, stream, and event abstractions onto the Spyre runtime and firmware.
According to the report, tensors remain resident on device="spyre" between operations, and FX graphs stay in the Inductor compiler path. The team states that this gives eager and compiled execution a single path with lower launch overhead.
Written by AI from the articles below · updated Oct 8, 7:54 PM ET
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- PyTorch BlogIBM Builds Spyre as a Native PyTorch Device via torch-spyre
AIIBM's torch-spyre integration makes Spyre, its dataflow inference accelerator, a native PyTorch device by mapping PyTorch's device, allocator, stream, and event abstractions onto the Spyre runtime and firmware. Tensors stay resident on device="spyre" between operations, and FX graphs remain in the Inductor compiler path. The approach gives eager and compiled execution one path with lower launch overhead.
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