torch.compile (inductor)
conv standard 2D square input asymmetric kernel · width = 512 · height = 512 · batch_size = 8 · in_channels = 32 · fp32 · run 01a03f0e-f6e2…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.46ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.51 · min ms 2.43 · std ms 0.0206 · mean ms 2.46
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 512 · height = 512 · batch_size = 8 · in_channels = 32 · fp32
comparison keysha256:1d268e8774154cef…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/62_conv_standard_2D__square_input__asymmetric_kernel.py
sha256:7cce9046e767ca7c3a560c9…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width512
height512
batch_size8
in_channels32
xfp32 [8, 32, 512, 512]
definition comparatornot_asserted
Measurements
latency · max2.51 ms · n=100
latency · mean2.46 ms · n=100
latency · min2.43 ms · n=100
latency · std20.6 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.
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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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for conv standard 2D square input asymmetric kernel →JSON