IBM ported Spyre's torch.compile backend to Inductor, cutting code 7x
lmoroney · x · 2026-10-14
IBM details on the PyTorch blog how torch-spyre moved its torch.compile backend from sendnn (273,000 lines) to an Inductor extension (38,600 lines of Python), a 7x reduction.
- Spyre hardware: a 75-watt PCIe inference accelerator focused on power efficiency, built as a dataflow architecture with 32 small cores on a ring, each with 2 MB local scratchpad, moving data in 128-byte "sticks" (64 fp16 values).
- Porting lessons: most of Inductor worked unchanged, but it wasn't a drop-in swap—effort concentrated where Spyre's dataflow design diverges from GPU-shaped assumptions, requiring substantial out-of-tree extensions at Inductor's lower levels and codegen.
- Takeaway: Inductor proved to be the right substrate for targeting non-GPU accelerator architectures.
Related event: IBM Ditches Homegrown Compiler Stack for Inductor on Spyre Accelerator(2 posts)→
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