torch.compile
Embedding lookup · seq = 512 · batch = 32 · vocab = 2048 · hidden = 768 · fp32 · run 01a016ad-2dbb…
●passedReported evidence
Not re-observed recently.
Primary measurement
297.8µsmedian
Rank 1 in its comparison group · source-native comparison · observed 2024-09-03
ms 20 0.2938239872455597 · ms 50 0.297760009765625 · ms 80 0.3054080009460449
Identity
implementationtorch.compile
projectPyTorch
revisionunknown
workloadseq = 512 · batch = 32 · vocab = 2048 · hidden = 768 · fp32
comparison keysha256:ec988c8e92afdcad…
sourceLiger-Kernel benchmarks
external idembedding/full/torch_compile/nvidia-a100-sxm4-80gb/batch32-hidden768-seq512-vocab2048-fp32/2024-09-03-15-32-13
sha256:44314635870fa4515031cf9…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
seq512
batch32
vocab2048
hidden768
weightfp32 [2048, 768]
input_idsint64 [32, 512]
definition comparatornot_asserted
Measurements
latency · median297.8 µs
latency · p20293.8 µs
latency · p80305.4 µs
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": 297760
},
"primaryStatistic": "median"
},
"observedAt": "2024-09-03T15:32:13.000Z",
"measurements": [
{
"unit": "ns",
"value": 293824,
"metric": "latency",
"statistic": "p20"
},
{
"unit": "ns",
"value": 305408,
"metric": "latency",
"statistic": "p80"
}
],
"sourceNative": {
"source": "liger-kernel-bench",
"metrics": {
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"ms_50": 0.297760009765625,
"ms_80": 0.3054080009460449
},
"benchmark": "embedding/full",
"externalId": "embedding/full/torch_compile/nvidia-a100-sxm4-80gb/batch32-hidden768-seq512-vocab2048-fp32/2024-09-03-15-32-13"
},
"protocolDigest": "sha256:5b02ee9a2140fbc6fcc1c89800f6c177ba22718c8897cb532bf0ba91867c1e58",
"workloadDigest": "sha256:ac4beee18cead20b816608bd38dcb3557b58f9e160c20686b38858e1d4c51301",
"environmentDigest": "sha256:90c9e2764222f592477cfccf3373519add5a1b881563956ad058c4f99e41b6b9",
"implementationDigest": "sha256:bb27cb1e7393e31ba48236de3b7335ea2dfbb2a21bac4c24a1da240b9d25c342"
},
"metadata": {
"name": "liger-embedding-full-torch-compile-nvidia-a100-sxm4-80gb-batch32-hidden768-seq512-vocab2048-fp32-202",
"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"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"environment": {
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"spec": {
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"formFactor": "SXM4-80GB",
"architecture": "sm_80"
},
"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