PyTorch
Total variation distance loss · vocab = 65536 · tokens = 16384 · fp32 · run 01a0202b-2348…
●passedReported evidence
Not re-observed recently.
Primary measurement
23.4msmedian
Rank 2 in its comparison group · source-native comparison · observed 2026-03-03
ms 20 23.37938575744629 · ms 50 23.379840850830078 · ms 80 23.381267929077147
Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadvocab = 65536 · tokens = 16384 · fp32
comparison keysha256:f593bd143eb27a72…
sourceLiger-Kernel benchmarks
external idtvd/backward/torch/nvidia-h100-80gb-hbm3/tokens16384-vocab65536-fp32/2026-03-03-23-02-57
sha256:d7907cf1d583dc9a1e18905…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
vocab65536
tokens16384
pfp32 [16384, 65536]
qfp32 [16384, 65536]
definition comparatornot_asserted
Measurements
latency · median23.4 ms
latency · p2023.4 ms
latency · p8023.4 ms
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.
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Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"latencyNs": {
"median": 23379841
},
"primaryStatistic": "median"
},
"observedAt": "2026-03-03T23:02:57.000Z",
"measurements": [
{
"unit": "ns",
"value": 23379386,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 23381268,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
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"metrics": {
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"ms_80": 23.381267929077147
},
"benchmark": "tvd/backward",
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},
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"workloadDigest": "sha256:15f7f2a3da6dd57b7d3073b0f7972bfb30d07aefadd1a43c789e7288bea8f5fd",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:8171e09143a94e4468f31e2a0f817f4d939b5014f388da04142ddb5acea9bcfd"
},
"metadata": {
"name": "liger-tvd-backward-torch-nvidia-h100-80gb-hbm3-tokens16384-vocab65536-fp32-2026-03-03-23-02-57",
"title": "Total variation distance loss · torch · backward",
"labels": {
"liger_version": "0.7.0"
}
},
"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"
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},
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"title": "Liger benchmark harness · backward pass"
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"environment": {
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"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 Total variation distance loss →JSON