torch.compile (inductor)
conv depthwise 2D square input square kernel · width = 512 · height = 512 · batch_size = 16 · in_channels = 64 · fp32 · run 01a03f0e-f6e3…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.48ms±0.02 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.43 · min ms 2.45 · std ms 0.098 · mean ms 2.48
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 512 · height = 512 · batch_size = 16 · in_channels = 64 · fp32
comparison keysha256:c487041a7ff79d4c…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/82_conv_depthwise_2D_square_input_square_kernel.py
sha256:9cef059c50f9559eb2c1d30…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width512
height512
batch_size16
in_channels64
xfp32 [16, 64, 512, 512]
definition comparatornot_asserted
Measurements
latency · max3.43 ms · n=100
latency · mean2.48 ms · n=100
latency · min2.45 ms · n=100
latency · std98.0 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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"latencyNs": {
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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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"metadata": {
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"comparability": {
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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 depthwise 2D square input square kernel →JSON