PyTorch
Sparsemax · tokens = 2048 · features = 32768 · fp32 · run 01a0202b-2183…
●passedReported evidence
Not re-observed recently.
Primary measurement
22.2msmedian
Rank 2 in its comparison group · source-native comparison · observed 2025-04-28
ms 20 22.018457412719727 · ms 50 22.19878387451172 · ms 80 22.48888397216797
Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadtokens = 2048 · features = 32768 · fp32
comparison keysha256:03175e610a834eea…
sourceLiger-Kernel benchmarks
external idsparsemax/forward/torch/nvidia-geforce-rtx-3090/features32768-tokens2048-fp32/2025-04-28-00-38-12
sha256:2da28fa3647c3d6efd26e70…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
tokens2048
features32768
xfp32 [2048, 32768]
definition comparatornot_asserted
Measurements
latency · median22.2 ms
latency · p2022.0 ms
latency · p8022.5 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": {
"status": "passed",
"timing": {
"latencyNs": {
"median": 22198784
},
"primaryStatistic": "median"
},
"observedAt": "2025-04-28T00:38:12.000Z",
"measurements": [
{
"unit": "ns",
"value": 22018457,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 22488884,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
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"metrics": {
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"ms_80": 22.48888397216797
},
"benchmark": "sparsemax/forward",
"externalId": "sparsemax/forward/torch/nvidia-geforce-rtx-3090/features32768-tokens2048-fp32/2025-04-28-00-38-12"
},
"protocolDigest": "sha256:a79eaf4df66c97c6adc1fb2d09df78682155d1ea86652ae0b70199875bde7747",
"workloadDigest": "sha256:ecefd4ad059567b41e2fa41ebad3da4bf635e78e1e25decce550e8782eda0ed7",
"environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
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},
"metadata": {
"name": "liger-sparsemax-forward-torch-nvidia-geforce-rtx-3090-features32768-tokens2048-fp32-2025-04-28-00-38",
"title": "Sparsemax · torch · forward",
"labels": {
"liger_version": "0.5.8"
}
},
"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 module forward 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"
}
},
"metadata": {
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"title": "Liger benchmark harness · forward pass"
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"environment": {
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"spec": {
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"architecture": "sm_86"
},
"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 Sparsemax →JSON