PyTorch
Fused neighborhood attention · seq = 1024 · batch = 4 · heads = 12 · hidden = 768 · dilation = 1 · kernel_size = 7 · fp32 · run 01a0202b-21b2…
●passedReported evidence
Not re-observed recently.
Primary measurement
87.6msmedian
Rank 2 in its comparison group · source-native comparison · observed 2025-05-27
ms 20 87.60115051269531 · ms 50 87.60115051269531 · ms 80 87.60115051269531
Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadseq = 1024 · batch = 4 · heads = 12 · hidden = 768 · dilation = 1 · kernel_size = 7 · fp32
comparison keysha256:84e4804b29522a7f…
sourceLiger-Kernel benchmarks
external idfused_neighborhood_attention/full/torch/nvidia-geforce-rtx-3090/batch4-dilation1-heads12-hidden768-kernel_size7-seq1024-fp32/2025-05-27-15-10-00
sha256:b4959af1ff0a6e000462cde…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq1024
batch4
heads12
hidden768
dilation1
kernel_size7
k_biasfp32 [768]
q_biasfp32 [768]
v_biasfp32 [768]
k_weightfp32 [768, 768]
out_biasfp32 [768]
q_weightfp32 [768, 768]
v_weightfp32 [768, 768]
out_weightfp32 [768, 768]
hidden_statesfp32 [4, 1024, 768]
definition comparatornot_asserted
Measurements
latency · median87.6 ms
latency · p2087.6 ms
latency · p8087.6 ms
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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{
"run": {
"kind": "BenchmarkRun",
"spec": {
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"timing": {
"latencyNs": {
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},
"observedAt": "2025-05-27T15:10:00.000Z",
"measurements": [
{
"unit": "ns",
"value": 87601151,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
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"metric": "latency",
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}
],
"sourceNative": {
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"metrics": {
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},
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},
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"workloadDigest": "sha256:00110ad2590feaa8e4b1e9bd5f82d3880f0e65b8b6e1d2e4ac7b4714f7359e90",
"environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
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},
"metadata": {
"name": "liger-fused-neighborhood-attention-full-torch-nvidia-geforce-rtx-3090-batch4-dilation1-heads12-hidde",
"title": "Fused neighborhood attention · torch · full",
"labels": {
"liger_version": "0.5.10"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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"repository": "https://github.com/linkedin/Liger-Kernel"
},
"measurement": {
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},
"comparability": {
"notes": "Timed: the forward pass plus the backward pass, via triton.testing.do_bench with quantiles 0.5/0.2/0.8 (median with p20/p80 spread). The upstream CSV records no CUDA, driver, or torch version; the Liger release rides each run's labels. Comparable only within one kernel, workload, timed pass, and GPU.",
"family": "liger_kernel_bench"
}
},
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"title": "Liger benchmark harness · full pass"
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"environment": {
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"spec": {
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},
"software": {}
},
"metadata": {
"name": "liger-bench-nvidia-geforce-rtx-3090",
"title": "Liger benchmark host · GeForce RTX 3090"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-20 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for Fused neighborhood attention →JSON