torch.compile (inductor)
ConvTranspose2d Min Sum GELU Add · width = 128 · height = 128 · batch_size = 16 · in_channels = 64 · fp32 · run 01a03f0e-f6e8…
●passedReported evidence
Not re-observed recently.
Primary measurement
987.0µs±5.47 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 1.22 · min ms 0.974 · std ms 0.0279 · mean ms 0.987
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 128 · height = 128 · batch_size = 16 · in_channels = 64 · fp32
comparison keysha256:1f0e8b3b9051da1d…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/36_ConvTranspose2d_Min_Sum_GELU_Add.py
sha256:65e01fad4632d8bb506cbc2…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width128
height128
batch_size16
in_channels64
input_1fp32 [16, 64, 128, 128]
definition comparatornot_asserted
Measurements
latency · max1.22 ms · n=100
latency · mean987.0 µs · n=100
latency · min974.0 µs · n=100
latency · std27.9 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",
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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 Min Sum GELU Add →JSON