PyTorch eager
VisionAttention · batch_size = 2 · image_width = 128 · image_height = 128 · num_channels = 128 · fp32 · run 01a03f0e-f6db…
●passedReported evidence
Not re-observed recently.
Primary measurement
21.7ms±0.03 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 22.5 · min ms 21.6 · std ms 0.14 · mean ms 21.7
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadbatch_size = 2 · image_width = 128 · image_height = 128 · num_channels = 128 · fp32
comparison keysha256:6e216bd238d844ea…
sourceKernelBench baseline timings
external idH100_Modal/torch/level3/31_VisionAttention.py
sha256:486824db327c6cb7e498536…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size2
image_width128
image_height128
num_channels128
input_1fp32 [2, 128, 128, 128]
definition comparatornot_asserted
Measurements
latency · max22.5 ms · n=100
latency · mean21.7 ms · n=100
latency · min21.6 ms · n=100
latency · std140.0 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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{
"run": {
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"spec": {
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"timing": {
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"latencyNs": {
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"maximum": 22500000,
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 140000,
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"metadata": {
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"title": "VisionAttention · PyTorch eager · Modal"
},
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},
"comparability": {
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"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for VisionAttention →JSON