torch.compile (inductor)
ConvTranspose2d GELU GroupNorm · width = 256 · height = 256 · batch_size = 128 · in_channels = 64 · fp32 · run 01a03f0e-f6e6…
●passedReported evidence
Not re-observed recently.
Primary measurement
8.14ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 8.49 · min ms 8.11 · std ms 0.0421 · mean ms 8.14
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 256 · height = 256 · batch_size = 128 · in_channels = 64 · fp32
comparison keysha256:c988ce0586cfb0d5…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/19_ConvTranspose2d_GELU_GroupNorm.py
sha256:c0075bb30be2c54735f1698…
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 · max8.49 ms · n=100
latency · mean8.14 ms · n=100
latency · min8.11 ms · n=100
latency · std42.1 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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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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"statistic": "std"
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"metadata": {
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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 ConvTranspose2d GELU GroupNorm →JSON