Gemm benchmark for #3290: replaced torch._scaled_mm with torch.nn.functional.scaled_mm#3342
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danielvegamyhre merged 2 commits intoNov 24, 2025
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3342
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@vkuzo lmk if you have comments or suggestions for the above changes |
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Re linted |
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thanks for updating this, running CI now |
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danielvegamyhre
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….nn.functional.scaled_mm (pytorch#3342) * replaced torch._scaled_mm with torch.nn.functional.scaled_mm * lint
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Summary
As discussed with @vkuzo in #3290
Replaced
torch._scaled_mmwithtorch.nn.functional.scaled_mmand ran the two benchmark (bench_1x128_128x1_gemms.pyandbench_1x128_128x128_gemms.py) scripts from hereResults on an H100 with the following setup:
Torchao: 0.15.0+git1fbc5f6a5
Python: 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0]
PyTorch: 2.10.0.dev20251113+cu129
CUDA: 12.9
CuDNN: 91002
[OS]
OS: Linux 6.8.0-60-generic
Distribution: Ubuntu 24.04.3 LTS
570.133.20, NVIDIA H100 PCIe, 9.0