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torch.compile (inductor)

Conv3d Min Softmax · d = 24 · h = 32 · w = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f6e7…
●passedReported evidence

Not re-observed recently.

Primary measurement
867.0µs±1.93 · mean of 100

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

max ms 0.953 · min ms 0.856 · std ms 0.00983 · mean ms 0.867

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadd = 24 · h = 32 · w = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:b988a94c9e4ee169…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/24_Conv3d_Min_Softmax.py
sha256:879c983a756a88f1787f383…

Correctness

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

Workload

d24
h32
w32
batch_size128
in_channels3
input_1fp32 [128, 3, 24, 32, 32]
definition comparatornot_asserted

Measurements

latency · max953.0 µs · n=100
latency · mean867.0 µs · n=100
latency · min856.0 µs · n=100
latency · std9.83 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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          "minimum": 856000,
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        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 9830,
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          "statistic": "std"
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      "sourceNative": {
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        },
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    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l2-24-conv3d-min-softmax",
      "title": "Conv3d Min Softmax · torch.compile (inductor) · Modal"
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  "protocol": {
    "kind": "BenchmarkProtocol",
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      },
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        "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",
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      "title": "KernelBench host · H100 80GB HBM3 (Modal)"
    },
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}
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