PyTorch eager
conv transposed 1D dilated · length = 131072 · batch_size = 32 · in_channels = 32 · fp32 · run 01a03f0e-f835…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.90ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.92 · min ms 2.88 · std ms 0.00941 · mean ms 2.9
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadlength = 131072 · batch_size = 32 · in_channels = 32 · fp32
comparison keysha256:cb8bb853a6d492f6…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/74_conv_transposed_1D_dilated.py
sha256:cab4fc50f1da326131eaf2f…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
length131072
batch_size32
in_channels32
xfp32 [32, 32, 131072]
definition comparatornot_asserted
Measurements
latency · max2.92 ms · n=100
latency · mean2.90 ms · n=100
latency · min2.88 ms · n=100
latency · std9.41 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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"spec": {
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"timing": {
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"latencyNs": {
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]
},
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},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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"unit": "ns",
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"statistic": "std"
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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 conv transposed 1D dilated →JSON