torch.compile (inductor)
Gemm Scaling Hardtanh GELU · batch_size = 2048 · in_features = 8192 · fp32 · run 01a03f0e-f6e9…
●passedReported evidence
Not re-observed recently.
Primary measurement
5.45ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 5.67 · min ms 5.44 · std ms 0.0261 · mean ms 5.45
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 2048 · in_features = 8192 · fp32
comparison keysha256:fca596ffaf7f8908…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/53_Gemm_Scaling_Hardtanh_GELU.py
sha256:87b0eeb94724b8a4191e8f3…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size2048
in_features8192
input_1fp32 [2048, 8192]
definition comparatornot_asserted
Measurements
latency · max5.67 ms · n=100
latency · mean5.45 ms · n=100
latency · min5.44 ms · n=100
latency · std26.1 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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{
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"timing": {
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"latencyNs": {
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"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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"value": 26100,
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"statistic": "std"
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},
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"metadata": {
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"title": "Gemm Scaling Hardtanh GELU · torch.compile (inductor) · Modal"
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"comparability": {
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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 Gemm Scaling Hardtanh GELU →JSON