PyTorch eager
ConvTranspose2d GELU GroupNorm · width = 256 · height = 256 · batch_size = 128 · in_channels = 64 · fp32 · run 01a03f0e-f838…
●passedReported evidence
Not re-observed recently.
Primary measurement
18.2ms±0.05 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 18.8 · min ms 17.9 · std ms 0.256 · mean ms 18.2
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 256 · height = 256 · batch_size = 128 · in_channels = 64 · fp32
comparison keysha256:6b8f9302d9d79a18…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level2/19_ConvTranspose2d_GELU_GroupNorm.py
sha256:420cad759b7d48d9654a451…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width256
height256
batch_size128
in_channels64
input_1fp32 [128, 64, 256, 256]
definition comparatornot_asserted
Measurements
latency · max18.8 ms · n=100
latency · mean18.2 ms · n=100
latency · min17.9 ms · n=100
latency · std256.0 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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{
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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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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 ConvTranspose2d GELU GroupNorm →JSON