torch.compile (inductor)
ConvTranspose3d LogSumExp HardSwish Subtract Clamp · depth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f6e9…
●passedReported evidence
Not re-observed recently.
Primary measurement
3.62ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.71 · min ms 3.59 · std ms 0.0232 · mean ms 3.62
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:48b70e0eca97a56c…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/58_ConvTranspose3d_LogSumExp_HardSwish_Subtract_Clamp.py
sha256:151197c3e026c3b80667209…
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 · max3.71 ms · n=100
latency · mean3.62 ms · n=100
latency · min3.59 ms · n=100
latency · std23.2 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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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for ConvTranspose3d LogSumExp HardSwish Subtract Clamp →JSON