torch.compile (inductor)
InstanceNorm · dim1 = 512 · dim2 = 512 · features = 64 · batch_size = 112 · fp32 · run 01a03f0e-f845…
●passedReported evidence
Not re-observed recently.
Primary measurement
12.4ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 12.5 · min ms 12.3 · std ms 0.0307 · mean ms 12.4
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddim1 = 512 · dim2 = 512 · features = 64 · batch_size = 112 · fp32
comparison keysha256:e5060f295c516daf…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/34_InstanceNorm.py
sha256:3505cb843b6e361dc13d40c…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
dim1512
dim2512
features64
batch_size112
xfp32 [112, 64, 512, 512]
definition comparatornot_asserted
Measurements
latency · max12.5 ms · n=100
latency · mean12.4 ms · n=100
latency · min12.3 ms · n=100
latency · std30.7 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": {
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"timing": {
"samples": 100,
"latencyNs": {
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"maximum": 12500000,
"minimum": 12300000,
"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 30700,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"std_ms": 0.0307,
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},
"benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
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},
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},
"metadata": {
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"title": "InstanceNorm · torch.compile (inductor) · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
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"spec": {
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},
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},
"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"
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},
"metadata": {
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}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for InstanceNorm →JSON