torch.compile (inductor)
Max Pooling 1D · features = 192 · batch_size = 64 · sequence_length = 65536 · fp32 · run 01a03f0e-f846…
●passedReported evidence
Not re-observed recently.
Primary measurement
14.0ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 14 · min ms 14 · std ms 0.00484 · mean ms 14
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadfeatures = 192 · batch_size = 64 · sequence_length = 65536 · fp32
comparison keysha256:30f07fec175ea4c4…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/41_Max_Pooling_1D.py
sha256:d5b54c0ccbb1d39be8d68dc…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
features192
batch_size64
sequence_length65536
xfp32 [64, 192, 65536]
definition comparatornot_asserted
Measurements
latency · max14.0 ms · n=100
latency · mean14.0 ms · n=100
latency · min14.0 ms · n=100
latency · std4.84 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",
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"metadata": {
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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 Max Pooling 1D →JSON