torch.compile (inductor)
Gemm BiasAdd Hardtanh Mish GroupNorm · batch_size = 1024 · in_features = 8192 · fp32 · run 01a03f0e-f851…
●passedReported evidence
Not re-observed recently.
Primary measurement
5.12ms±0.03 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 5.24 · min ms 4.64 · std ms 0.128 · mean ms 5.12
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 1024 · in_features = 8192 · fp32
comparison keysha256:87025492209ec080…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/94_Gemm_BiasAdd_Hardtanh_Mish_GroupNorm.py
sha256:06e89f3a28dc06b95fd0f20…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size1024
in_features8192
input_1fp32 [1024, 8192]
definition comparatornot_asserted
Measurements
latency · max5.24 ms · n=100
latency · mean5.12 ms · n=100
latency · min4.64 ms · n=100
latency · std128.0 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": {
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"timing": {
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"latencyNs": {
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"confidence95": [
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]
},
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},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
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"value": 128000,
"metric": "latency",
"statistic": "std"
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},
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},
"metadata": {
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"title": "Gemm BiasAdd Hardtanh Mish GroupNorm · torch.compile (inductor) · Lambda Labs"
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},
"comparability": {
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"metadata": {
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"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 Gemm BiasAdd Hardtanh Mish GroupNorm →JSON