PyTorch eager
DenseNet121TransitionLayer · width = 256 · height = 256 · batch_size = 128 · num_input_features = 32 · fp32 · run 01a03f0e-f6da…
●passedReported evidence
Not re-observed recently.
Primary measurement
7.33ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 7.4 · min ms 7.3 · std ms 0.0161 · mean ms 7.33
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 256 · height = 256 · batch_size = 128 · num_input_features = 32 · fp32
comparison keysha256:c74e9da8547a62ed…
sourceKernelBench baseline timings
external idH100_Modal/torch/level3/13_DenseNet121TransitionLayer.py
sha256:a077d98e2eef5cc81c2bea2…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width256
height256
batch_size128
num_input_features32
input_1fp32 [128, 32, 256, 256]
definition comparatornot_asserted
Measurements
latency · max7.40 ms · n=100
latency · mean7.33 ms · n=100
latency · min7.30 ms · n=100
latency · std16.1 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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{
"run": {
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"timing": {
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"latencyNs": {
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 16100,
"metric": "latency",
"statistic": "std"
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},
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"metadata": {
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"title": "DenseNet121TransitionLayer · PyTorch eager · Modal"
},
"apiVersion": "kernelindex.dev/v1alpha1"
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"protocol": {
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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 DenseNet121TransitionLayer →JSON