torch.compile
Embedding lookup · seq = 2048 · batch = 8 · vocab = 8192 · hidden = 4096 · fp32 · run 01a016ad-7f89…
●passedReported evidence
Not re-observed recently.
Primary measurement
1.48msmedian
Rank 1 in its comparison group · source-native comparison · observed 2024-09-03
ms 20 1.480512022972107 · ms 50 1.4822720289230347 · ms 80 1.4839999675750732
Identity
implementationtorch.compile
projectPyTorch
revisionunknown
workloadseq = 2048 · batch = 8 · vocab = 8192 · hidden = 4096 · fp32
comparison keysha256:aaf31565437941a4…
sourceLiger-Kernel benchmarks
external idembedding/full/torch_compile/nvidia-a100-sxm4-80gb/batch8-hidden4096-seq2048-vocab8192-fp32/2024-09-03-15-33-43
sha256:687ac2332142be698b3ba78…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq2048
batch8
vocab8192
hidden4096
weightfp32 [8192, 4096]
input_idsint64 [8, 2048]
definition comparatornot_asserted
Measurements
latency · median1.48 ms
latency · p201.48 ms
latency · p801.48 ms
Protocol
harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench
Environment
gpuNVIDIA A100 (sm_80)
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": 1482272
},
"primaryStatistic": "median"
},
"observedAt": "2024-09-03T15:33:43.000Z",
"measurements": [
{
"unit": "ns",
"value": 1480512,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 1484000,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
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"metrics": {
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"ms_80": 1.4839999675750732
},
"benchmark": "embedding/full",
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},
"protocolDigest": "sha256:5b02ee9a2140fbc6fcc1c89800f6c177ba22718c8897cb532bf0ba91867c1e58",
"workloadDigest": "sha256:86606bd6d9d1c21efef9d68f331cff110a3ae2557ddce771e0642a548e14ad6c",
"environmentDigest": "sha256:90c9e2764222f592477cfccf3373519add5a1b881563956ad058c4f99e41b6b9",
"implementationDigest": "sha256:bb27cb1e7393e31ba48236de3b7335ea2dfbb2a21bac4c24a1da240b9d25c342"
},
"metadata": {
"name": "liger-embedding-full-torch-compile-nvidia-a100-sxm4-80gb-batch8-hidden4096-seq2048-vocab8192-fp32-20",
"title": "Embedding lookup · torch_compile · full",
"labels": {
"liger_version": "0.2.1"
}
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
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"repository": "https://github.com/linkedin/Liger-Kernel"
},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "median"
},
"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"
}
},
"metadata": {
"name": "liger-bench-do-bench-full",
"title": "Liger benchmark harness · full pass"
},
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},
"environment": {
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"spec": {
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"formFactor": "SXM4-80GB",
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},
"software": {}
},
"metadata": {
"name": "liger-bench-nvidia-a100-sxm4-80gb",
"title": "Liger benchmark host · A100-SXM4-80GB"
},
"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 Embedding lookup →JSON