torch.compile (inductor)
ConvTranspose3d BatchNorm Subtract · depth = 16 · width = 32 · height = 32 · batch_size = 16 · in_channels = 16 · fp32 · run 01a03f0e-f84b…
●passedReported evidence
Not re-observed recently.
Primary measurement
1.67ms±0.00 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 1.73 · min ms 1.63 · std ms 0.0247 · mean ms 1.67
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 16 · width = 32 · height = 32 · batch_size = 16 · in_channels = 16 · fp32
comparison keysha256:b052eea4c1b8a639…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/15_ConvTranspose3d_BatchNorm_Subtract.py
sha256:36936cd34f9431c9efa0be6…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
depth16
width32
height32
batch_size16
in_channels16
input_1fp32 [16, 16, 16, 32, 32]
definition comparatornot_asserted
Measurements
latency · max1.73 ms · n=100
latency · mean1.67 ms · n=100
latency · min1.63 ms · n=100
latency · std24.7 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 ConvTranspose3d BatchNorm Subtract →JSON