torch.compile (inductor)
conv transposed 2D asymmetric input asymmetric kernel padded · width = 1024 · height = 512 · batch_size = 8 · in_channels = 32 · fp32 · run 01a03f0e-f6e3…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.36ms±0.01 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.57 · min ms 2.34 · std ms 0.0277 · mean ms 2.36
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 1024 · height = 512 · batch_size = 8 · in_channels = 32 · fp32
comparison keysha256:e7f6655c9518aca8…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/78_conv_transposed_2D_asymmetric_input_asymmetric_kernel___padded__.py
sha256:0b185d33f7d7003d3040597…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width1024
height512
batch_size8
in_channels32
xfp32 [8, 32, 512, 1024]
definition comparatornot_asserted
Measurements
latency · max2.57 ms · n=100
latency · mean2.36 ms · n=100
latency · min2.34 ms · n=100
latency · std27.7 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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"latencyNs": {
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"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
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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 conv transposed 2D asymmetric input asymmetric kernel padded →JSON