torch.compile (inductor)
ConvTranspose2d Min Sum GELU Add · width = 128 · height = 128 · batch_size = 16 · in_channels = 64 · fp32 · run 01a03f0e-f84d…
●passedReported evidence
Not re-observed recently.
Primary measurement
924.0µs±0.78 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 0.94 · min ms 0.917 · std ms 0.00398 · mean ms 0.924
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 128 · height = 128 · batch_size = 16 · in_channels = 64 · fp32
comparison keysha256:7773a4384ba8b770…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/36_ConvTranspose2d_Min_Sum_GELU_Add.py
sha256:1f03cf82b3cbe27aa031765…
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 · max940.0 µs · n=100
latency · mean924.0 µs · n=100
latency · min917.0 µs · n=100
latency · std3.98 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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"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 ConvTranspose2d Min Sum GELU Add →JSON