[helion] backward support for swiglu #756
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oulgen
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Oct 1, 2025
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| @helion.kernel() | ||
| def swiglu_bwd(gout: Tensor, x1: Tensor, x2: Tensor) -> tuple[Tensor, Tensor]: |
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please add this to run.py there are two lists you need to update there
also please run with triton bench and generate perf/accuracy numbers
cc: @yf225
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@oulgen do you have an example to do that for a backward kernel? I can find a few examples for fwd but not bwd
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oh found 'rms_norm-bwd' in the run.py. will follow it
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I ran this command:
python benchmarks/run.py --metrics speedup,accuracy --kernel swiglu-bwd
but don't see the number for helion. Any ideas?
(B, T, H) liger_swiglu-speedup liger_swiglu-accuracy torch_compile_swiglu-speedup torch_compile_swiglu-accuracy
--------------- ---------------------- ----------------------- ------------------------------ -------------------------------
(4, 1024, 4096) 1.01139 1 1.03097 1
(4, 2048, 4096) 1.02854 1 1.00777 1
(4, 4096, 4096) 1.03631 1 1.03787 1
(4, 8192, 4096) 0.841614 1 1.04048 1
average 0.979463 1 1.02927 1
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Add the backward formula of swiglu in examples/swiglu.py