PyTorch
Multi-token attention · k = 3 · seq = 64 · batch = 2 · heads_in = 4 · heads_out = 4 · fp32 · run 01a0202b-219f…
●passedReported evidence
Not re-observed recently.
Primary measurement
601.1µsmedian
Rank 2 in its comparison group · source-native comparison · observed 2025-04-30
ms 20 0.5947520136833191 · ms 50 0.6010879874229431 · ms 80 0.608128011226654
Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadk = 3 · seq = 64 · batch = 2 · heads_in = 4 · heads_out = 4 · fp32
comparison keysha256:264b1061aa57d3e4…
sourceLiger-Kernel benchmarks
external idsparse_multi_token_attention/forward/torch/nvidia-geforce-rtx-3090/batch2-heads_in4-heads_out4-k3-seq64-fp32/2025-04-30-17-22-13
sha256:bc29630fa9be432e5251ba9…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
k3
seq64
batch2
heads_in4
heads_out4
biasfp32 [4]
scoresfp32 [2, 4, 64, 64]
weightfp32 [4, 4, 3, 3]
definition comparatornot_asserted
Measurements
latency · median601.1 µs
latency · p20594.8 µs
latency · p80608.1 µs
Protocol
harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench
Environment
gpuNVIDIA GeForce RTX 3090 (sm_86)
Artifacts
No artifacts published with this run.
Replications and notes
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
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}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for Multi-token attention →JSON