PyTorch
Softmax · rows = 2048 · hidden = 1024 · fp32 · run 01a016ae-99a6…
●passedReported evidence
Not re-observed recently.
Primary measurement
22.5µsmedian
Rank 2 in its comparison group · source-native comparison · observed 2025-04-30
ms 20 0.02252800017595291 · ms 50 0.02252800017595291 · ms 80 0.023552000522613525
Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadrows = 2048 · hidden = 1024 · fp32
comparison keysha256:673834571ed02045…
sourceLiger-Kernel benchmarks
external idsoftmax/forward/torch/nvidia-geforce-rtx-3090/hidden1024-rows2048-fp32/2025-04-30-16-11-07
sha256:8a4ad087538fd314bce44fa…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
rows2048
hidden1024
xfp32 [2048, 1024]
definition comparatornot_asserted
Measurements
latency · median22.5 µs
latency · p2022.5 µs
latency · p8023.6 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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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"median": 22528
},
"primaryStatistic": "median"
},
"observedAt": "2025-04-30T16:11:07.000Z",
"measurements": [
{
"unit": "ns",
"value": 22528,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 23552,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
"source": "liger-kernel-bench",
"metrics": {
"ms_20": 0.02252800017595291,
"ms_50": 0.02252800017595291,
"ms_80": 0.023552000522613525
},
"benchmark": "softmax/forward",
"externalId": "softmax/forward/torch/nvidia-geforce-rtx-3090/hidden1024-rows2048-fp32/2025-04-30-16-11-07"
},
"protocolDigest": "sha256:a79eaf4df66c97c6adc1fb2d09df78682155d1ea86652ae0b70199875bde7747",
"workloadDigest": "sha256:be9c238a0bc419248cf34c80ef4db0e44548971382c442bf0ae0d091916ca6c3",
"environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
"implementationDigest": "sha256:643178d96c20c26e7a3c3c424ad25f85170a76224689482539da1059ff9aacea"
},
"metadata": {
"name": "liger-softmax-forward-torch-nvidia-geforce-rtx-3090-hidden1024-rows2048-fp32-2025-04-30-16-11-07",
"title": "Softmax · torch · forward",
"labels": {
"liger_version": "0.5.8"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
"name": "Liger-Kernel benchmark scripts",
"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": {
"name": "liger-bench-do-bench-forward",
"title": "Liger benchmark harness · forward pass"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
"kind": "ExecutionEnvironment",
"spec": {
"hardware": {
"vendor": "nvidia",
"product": "NVIDIA GeForce RTX 3090",
"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 2026-08-18 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for Softmax →JSON