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torch.compile (inductor)

conv transposed 3D asymmetric input asymmetric kernel strided padded grouped · depth = 12 · width = 48 · height = 24 · batch_size = 8 · in_channels = 32 · fp32 · run 01a03f0e-f6e2…
●passedReported evidence

Not re-observed recently.

Primary measurement
2.82ms±0.00 · mean of 100

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

Compare with #1 →

max ms 2.86 · min ms 2.8 · std ms 0.00789 · mean ms 2.82

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 12 · width = 48 · height = 24 · batch_size = 8 · in_channels = 32 · fp32
comparison keysha256:2f195ccd7e01898b…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/72_conv_transposed_3D_asymmetric_input_asymmetric_kernel___strided_padded_grouped_.py
sha256:d0ed740c55122f325e5a3de…

Correctness

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

Workload

depth12
width48
height24
batch_size8
in_channels32
xfp32 [8, 32, 12, 24, 48]
definition comparatornot_asserted

Measurements

latency · max2.86 ms · n=100
latency · mean2.82 ms · n=100
latency · min2.80 ms · n=100
latency · std7.89 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

Show manifest
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    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
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          "confidence95": [
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          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 7890,
          "metric": "latency",
          "statistic": "std"
        }
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        },
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      },
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    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-72-conv-transposed-3d-asymmetric-input-asymmetric-k",
      "title": "conv transposed 3D asymmetric input asymmetric kernel strided padded grouped · torch.compile (inductor) · Modal"
    },
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  },
  "protocol": {
    "kind": "BenchmarkProtocol",
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        "primaryStatistic": "mean"
      },
      "comparability": {
        "notes": "Mean of 100 timed forward passes (CUDA events, warm-up excluded) of the reference module on fixed inputs; the 95% interval is the mean's, from the reported standard deviation. The upstream JSON records no torch or CUDA version. Comparable only within one problem and one timing host.",
        "family": "kernelbench_baseline_timing"
      }
    },
    "metadata": {
      "name": "kernelbench-timing-v1",
      "title": "KernelBench baseline timing"
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  "environment": {
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}
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