torch.compile (inductor)
ConvTranspose3d Max Max Sum · depth = 32 · width = 32 · height = 32 · batch_size = 16 · in_channels = 32 · fp32 · run 01a03f0e-f6eb…
●passedReported evidence
Not re-observed recently.
Primary measurement
47.0ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 47.1 · min ms 46.9 · std ms 0.0278 · mean ms 47
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 32 · width = 32 · height = 32 · batch_size = 16 · in_channels = 32 · fp32
comparison keysha256:fc3da341cc37b551…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/78_ConvTranspose3d_Max_Max_Sum.py
sha256:b6b289288aa34f9d3bff66b…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth32
width32
height32
batch_size16
in_channels32
input_1fp32 [16, 32, 32, 32, 32]
definition comparatornot_asserted
Measurements
latency · max47.1 ms · n=100
latency · mean47.0 ms · n=100
latency · min46.9 ms · n=100
latency · std27.8 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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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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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 Max Max Sum →JSON