PyTorch eager
conv transposed 2D asymmetric input asymmetric kernel strided grouped padded dilated · width = 256 · height = 128 · batch_size = 16 · in_channels = 32 · fp32 · run 01a03f0e-f835…
●passedReported evidence
Not re-observed recently.
Primary measurement
7.28ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 7.3 · min ms 7.27 · std ms 0.00548 · mean ms 7.28
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadwidth = 256 · height = 128 · batch_size = 16 · in_channels = 32 · fp32
comparison keysha256:4b33ca095d94b67e…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level1/75_conv_transposed_2D_asymmetric_input_asymmetric_kernel_strided__grouped____padded____dilated__.py
sha256:acad44436732af543d7490e…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
width256
height128
batch_size16
in_channels32
xfp32 [16, 32, 128, 256]
definition comparatornot_asserted
Measurements
latency · max7.30 ms · n=100
latency · mean7.28 ms · n=100
latency · min7.27 ms · n=100
latency · std5.48 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)