PyTorch eager
conv depthwise 2D asymmetric input square kernel · width_in = 512 · height_in = 256 · batch_size = 64 · in_channels = 128 · fp32 · run 01a03f0e-f6d0…
●passedReported evidence
Not re-observed recently.
Primary measurement
10.1ms±0.01 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 11.1 · min ms 10.1 · std ms 0.103 · mean ms 10.1
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth_in = 512 · height_in = 256 · batch_size = 64 · in_channels = 128 · fp32
comparison keysha256:9440c5908461cc5b…
sourceKernelBench baseline timings
external idH100_Modal/torch/level1/84_conv_depthwise_2D_asymmetric_input_square_kernel.py
sha256:73fc30da1afe49d6d2b240d…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width_in512
height_in256
batch_size64
in_channels128
xfp32 [64, 128, 256, 512]
definition comparatornot_asserted
Measurements
latency · max11.1 ms · n=100
latency · mean10.1 ms · n=100
latency · min10.1 ms · n=100
latency · std103.0 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.
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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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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for conv depthwise 2D asymmetric input square kernel →JSON