PyTorch eager
conv transposed 3D asymmetric input square kernel strided padded grouped · depth = 32 · width = 128 · height = 64 · batch_size = 4 · in_channels = 32 · fp32 · run 01a03f0e-f835…
●passedReported evidence
Not re-observed recently.
Primary measurement
3.06ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 3.09 · min ms 3.01 · std ms 0.0171 · mean ms 3.06
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloaddepth = 32 · width = 128 · height = 64 · batch_size = 4 · in_channels = 32 · fp32
comparison keysha256:4ee079f0f72f5a55…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/73_conv_transposed_3D_asymmetric_input_square_kernel__strided_padded__grouped.py
sha256:f3e0f9a193d92f3ed64477d…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth32
width128
height64
batch_size4
in_channels32
xfp32 [4, 32, 32, 64, 128]
definition comparatornot_asserted
Measurements
latency · max3.09 ms · n=100
latency · mean3.06 ms · n=100
latency · min3.01 ms · n=100
latency · std17.1 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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}Cite this record (permalink, digest, access date)