PyTorch eager
ConvTranspose3d Swish GroupNorm HardSwish · depth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f6d6…
●passedReported evidence
Not re-observed recently.
Primary measurement
7.70ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 7.78 · min ms 7.68 · std ms 0.0146 · mean ms 7.7
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloaddepth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:8cb9b4163d0cb18b…
sourceKernelBench baseline timings
external idH100_Modal/torch/level2/60_ConvTranspose3d_Swish_GroupNorm_HardSwish.py
sha256:24eb01ed2c2f70e303fc7f7…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth16
width32
height32
batch_size128
in_channels3
input_1fp32 [128, 3, 16, 32, 32]
definition comparatornot_asserted
Measurements
latency · max7.78 ms · n=100
latency · mean7.70 ms · n=100
latency · min7.68 ms · n=100
latency · std14.6 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.
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Canonical manifest
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{
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"observedAt": "2026-03-05T08:38:15.000Z",
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"title": "ConvTranspose3d Swish GroupNorm HardSwish · PyTorch eager · Modal"
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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 ConvTranspose3d Swish GroupNorm HardSwish →JSON