torch.compile (inductor)
Conv3d GroupNorm Mean · d = 24 · h = 32 · w = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f6e7…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.65ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.7 · min ms 2.64 · std ms 0.00985 · mean ms 2.65
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadd = 24 · h = 32 · w = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:d49e30cc10f90170…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/23_Conv3d_GroupNorm_Mean.py
sha256:321f03454bf39e92933d1cc…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
d24
h32
w32
batch_size128
in_channels3
input_1fp32 [128, 3, 24, 32, 32]
definition comparatornot_asserted
Measurements
latency · max2.70 ms · n=100
latency · mean2.65 ms · n=100
latency · min2.64 ms · n=100
latency · std9.85 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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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for Conv3d GroupNorm Mean →JSON