Liger
Fused neighborhood attention · seq = 128 · batch = 2 · heads = 16 · hidden = 1024 · dilation = 1 · kernel_size = 9 · fp32 · run 01a0202b-231d…
●passedReported evidence
Not re-observed recently.
Primary measurement
505.6µsmedian
Rank 2 in its comparison group · source-native comparison · observed 2025-05-27
ms 20 0.5036479830741882 · ms 50 0.5055680274963379 · ms 80 0.5097920298576355
Identity
implementationLiger
projectLiger-Kernel
revisionunknown
workloadseq = 128 · batch = 2 · heads = 16 · hidden = 1024 · dilation = 1 · kernel_size = 9 · fp32
comparison keysha256:f0088c04a9c195a5…
sourceLiger-Kernel benchmarks
external idfused_neighborhood_attention/backward/liger/nvidia-h100-80gb-hbm3/batch2-dilation1-heads16-hidden1024-kernel_size9-seq128-fp32/2025-05-27-19-26-42
sha256:2520752cb16745982f71b9a…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq128
batch2
heads16
hidden1024
dilation1
kernel_size9
k_biasfp32 [1024]
q_biasfp32 [1024]
v_biasfp32 [1024]
k_weightfp32 [1024, 1024]
out_biasfp32 [1024]
q_weightfp32 [1024, 1024]
v_weightfp32 [1024, 1024]
out_weightfp32 [1024, 1024]
hidden_statesfp32 [2, 128, 1024]
definition comparatornot_asserted
Measurements
latency · median505.6 µs
latency · p20503.6 µs
latency · p80509.8 µs
Protocol
harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench
Environment
gpuNVIDIA H100 (sm_90)
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": {
"status": "passed",
"timing": {
"latencyNs": {
"median": 505568
},
"primaryStatistic": "median"
},
"observedAt": "2025-05-27T19:26:42.000Z",
"measurements": [
{
"unit": "ns",
"value": 503648,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 509792,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
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"metrics": {
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"ms_80": 0.5097920298576355
},
"benchmark": "fused_neighborhood_attention/backward",
"externalId": "fused_neighborhood_attention/backward/liger/nvidia-h100-80gb-hbm3/batch2-dilation1-heads16-hidden1024-kernel_size9-seq128-fp32/2025-05-27-19-26-42"
},
"protocolDigest": "sha256:080e6e66e4ec75a131aa0c9121c74b8e8eed64e7b6d621d567c6a28f79548be8",
"workloadDigest": "sha256:ad78fb3cb9acd29dab3164982ae4aa4ac7b6e9ef9ee3a54be11c3d09441b8b8d",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:743dfc56dca4a73f6c3b606b0cb54d12269bd3c1ce66f033d462e708716396cf"
},
"metadata": {
"name": "liger-fused-neighborhood-attention-backward-liger-nvidia-h100-80gb-hbm3-batch2-dilation1-heads16-hid",
"title": "Fused neighborhood attention · liger · backward",
"labels": {
"liger_version": "0.5.10"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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"repository": "https://github.com/linkedin/Liger-Kernel"
},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "median"
},
"comparability": {
"notes": "Timed: the backward pass of the module output given a random upstream gradient, 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"
}
},
"metadata": {
"name": "liger-bench-do-bench-backward",
"title": "Liger benchmark harness · backward pass"
},
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"environment": {
"kind": "ExecutionEnvironment",
"spec": {
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"formFactor": "80GB HBM3",
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},
"software": {}
},
"metadata": {
"name": "liger-bench-nvidia-h100-80gb-hbm3",
"title": "Liger benchmark host · H100 80GB HBM3"
},
"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