torch.compile (inductor)
conv transposed 3D asymmetric input asymmetric kernel · depth_in = 16 · width_in = 64 · height_in = 32 · batch_size = 16 · in_channels = 32 · fp32 · run 01a03f0e-f847…
●passedReported evidence
Not re-observed recently.
Primary measurement
2.60ms±0.00 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 2.65 · min ms 2.56 · std ms 0.0196 · mean ms 2.6
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth_in = 16 · width_in = 64 · height_in = 32 · batch_size = 16 · in_channels = 32 · fp32
comparison keysha256:1806e7a33e9a572b…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/58_conv_transposed_3D__asymmetric_input__asymmetric_kernel.py
sha256:750deadf02350424a5d1785…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth_in16
width_in64
height_in32
batch_size16
in_channels32
xfp32 [16, 32, 16, 32, 64]
definition comparatornot_asserted
Measurements
latency · max2.65 ms · n=100
latency · mean2.60 ms · n=100
latency · min2.56 ms · n=100
latency · std19.6 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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"observedAt": "2026-03-05T08:38:15.000Z",
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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 3D asymmetric input asymmetric kernel →JSON