PyTorch eager
conv standard 2D asymmetric input square kernel · width = 1024 · height = 512 · batch_size = 8 · in_channels = 64 · fp32 · run 01a03f0e-f6ce…
●passedReported evidence
Not re-observed recently.
Primary measurement
4.12ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 4.19 · min ms 3.92 · std ms 0.0694 · mean ms 4.12
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 1024 · height = 512 · batch_size = 8 · in_channels = 64 · fp32
comparison keysha256:f3b5a76b08b4d797…
sourceKernelBench baseline timings
external idH100_Modal/torch/level1/55_conv_standard_2D__asymmetric_input__square_kernel.py
sha256:b43defdddc8cb6a22928cb9…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width1024
height512
batch_size8
in_channels64
xfp32 [8, 64, 512, 1024]
definition comparatornot_asserted
Measurements
latency · max4.19 ms · n=100
latency · mean4.12 ms · n=100
latency · min3.92 ms · n=100
latency · std69.4 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",
"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 conv standard 2D asymmetric input square kernel →JSON