torch.compile (inductor)
conv transposed 3D square input square kernel · depth = 64 · width = 64 · height = 64 · batch_size = 8 · in_channels = 48 · fp32 · run 01a03f0e-f847…
●passedReported evidence
Not re-observed recently.
Primary measurement
6.44ms±0.01 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 6.51 · min ms 6.39 · std ms 0.0256 · mean ms 6.44
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 64 · width = 64 · height = 64 · batch_size = 8 · in_channels = 48 · fp32
comparison keysha256:c9b344d38c021854…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/61_conv_transposed_3D__square_input__square_kernel.py
sha256:10f5e6963985314cbbafa26…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth64
width64
height64
batch_size8
in_channels48
xfp32 [8, 48, 64, 64, 64]
definition comparatornot_asserted
Measurements
latency · max6.51 ms · n=100
latency · mean6.44 ms · n=100
latency · min6.39 ms · n=100
latency · std25.6 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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}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for conv transposed 3D square input square kernel →JSON