PyTorch eager
conv transposed 1D asymmetric input square kernel padded strided dilated · length = 131072 · batch_size = 16 · in_channels = 32 · fp32 · run 01a03f0e-f6d0…
●passedReported evidence
Not re-observed recently.
Primary measurement
1.94ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 1.95 · min ms 1.91 · std ms 0.00719 · mean ms 1.94
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadlength = 131072 · batch_size = 16 · in_channels = 32 · fp32
comparison keysha256:d74e2617989a9a62…
sourceKernelBench baseline timings
external idH100_Modal/torch/level1/79_conv_transposed_1D_asymmetric_input_square_kernel___padded____strided____dilated__.py
sha256:e1e1d375b77e82803f6cc14…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
length131072
batch_size16
in_channels32
xfp32 [16, 32, 131072]
definition comparatornot_asserted
Measurements
latency · max1.95 ms · n=100
latency · mean1.94 ms · n=100
latency · min1.91 ms · n=100
latency · std7.19 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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"observedAt": "2026-03-05T08:38:15.000Z",
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}Cite this record (permalink, digest, access date)