torch.compile (inductor)
L2Norm · dim = 65535 · batch_size = 32768 · fp32 · run 01a03f0e-f6e0…
●passedReported evidence
Not re-observed recently.
Primary measurement
13.1ms±0.06 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 15.4 · min ms 12.9 · std ms 0.285 · mean ms 13.1
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddim = 65535 · batch_size = 32768 · fp32
comparison keysha256:3cfdd2e0536ffaab…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/39_L2Norm_.py
sha256:ed371882c8e4ad858db551b…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
dim65535
batch_size32768
xfp32 [32768, 65535]
definition comparatornot_asserted
Measurements
latency · max15.4 ms · n=100
latency · mean13.1 ms · n=100
latency · min12.9 ms · n=100
latency · std285.0 µs
Protocol
harnessKernelBench timing scripts
timercuda_events
primaryStatisticmean
comparabilityFamilykernelbench_baseline_timing
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.
Add a reproduction or note
Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 13100000,
"maximum": 15400000,
"minimum": 12900000,
"confidence95": [
13044140,
13155860
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 285000,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
"source": "kernelbench",
"metrics": {
"max_ms": 15.4,
"min_ms": 12.9,
"std_ms": 0.285,
"mean_ms": 13.1
},
"benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
"externalId": "H100_Modal/torch-compile-inductor/level1/39_L2Norm_.py"
},
"protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
"workloadDigest": "sha256:872c903d6d3a72e3e5ebb2a00c4ad4f49577da2203d612b59d1ec7d7789b11eb",
"environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
"implementationDigest": "sha256:e390787ca27ebbd9ff5ec05af530977a7e06652801bfa3412f80252aad069b50"
},
"metadata": {
"name": "kernelbench-h100-modal-torch-compile-inductor-l1-39-l2norm",
"title": "L2Norm · torch.compile (inductor) · Modal"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
"name": "KernelBench timing scripts",
"repository": "https://github.com/ScalingIntelligence/KernelBench"
},
"measurement": {
"timer": "cuda_events",
"primaryStatistic": "mean"
},
"comparability": {
"notes": "Mean of 100 timed forward passes (CUDA events, warm-up excluded) of the reference module on fixed inputs; the 95% interval is the mean's, from the reported standard deviation. The upstream JSON records no torch or CUDA version. Comparable only within one problem and one timing host.",
"family": "kernelbench_baseline_timing"
}
},
"metadata": {
"name": "kernelbench-timing-v1",
"title": "KernelBench baseline timing"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"environment": {
"kind": "ExecutionEnvironment",
"spec": {
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"formFactor": "80GB HBM3",
"architecture": "sm_90"
},
"software": {}
},
"metadata": {
"name": "kernelbench-h100-modal",
"title": "KernelBench host · H100 80GB HBM3 (Modal)"
},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for L2Norm →JSON