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torch.compile (inductor)

conv standard 3D square input square kernel · depth = 64 · width = 64 · height = 64 · batch_size = 16 · in_channels = 3 · fp32 · run 01a03f0e-f6e1…
●passedReported evidence

Not re-observed recently.

Primary measurement
1.86ms±0.02 · mean of 100

Rank 1 in its comparison group · source-native comparison · observed 2026-03-05

max ms 2.97 · min ms 1.84 · std ms 0.114 · mean ms 1.86

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 64 · width = 64 · height = 64 · batch_size = 16 · in_channels = 3 · fp32
comparison keysha256:f0b0cdfc3d87316c…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/54_conv_standard_3D__square_input__square_kernel.py
sha256:12014698cb85da5ec8cf75f…

Correctness

Marked passed by the source; the correctness policy was not published.

Workload

depth64
width64
height64
batch_size16
in_channels3
xfp32 [16, 3, 64, 64, 64]
definition comparatornot_asserted

Measurements

latency · max2.97 ms · n=100
latency · mean1.86 ms · n=100
latency · min1.84 ms · n=100
latency · std114.0 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

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Canonical manifest

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      "status": "passed",
      "timing": {
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      },
      "observedAt": "2026-03-05T08:38:15.000Z",
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      "title": "conv standard 3D square input square kernel · torch.compile (inductor) · Modal"
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    "metadata": {
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}
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