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torch.compile (inductor)

Max Pooling 3D · dim1 = 128 · dim2 = 128 · dim3 = 128 · channels = 32 · batch_size = 16 · fp32 · run 01a03f0e-f6e0…
●passedReported evidence

Not re-observed recently.

Primary measurement
5.65ms±0.00 · mean of 100

Rank 2 in its comparison group · source-native comparison · observed 2026-03-05

Compare with #1 →

max ms 5.68 · min ms 5.65 · std ms 0.00607 · mean ms 5.65

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddim1 = 128 · dim2 = 128 · dim3 = 128 · channels = 32 · batch_size = 16 · fp32
comparison keysha256:f30aa5c377e0954a…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/43_Max_Pooling_3D.py
sha256:23e10326f6122392da7643f…

Correctness

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

Workload

dim1128
dim2128
dim3128
channels32
batch_size16
xfp32 [16, 32, 128, 128, 128]
definition comparatornot_asserted

Measurements

latency · max5.68 ms · n=100
latency · mean5.65 ms · n=100
latency · min5.65 ms · n=100
latency · std6.07 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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          "maximum": 5680000,
          "minimum": 5650000,
          "confidence95": [
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          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 6070,
          "metric": "latency",
          "statistic": "std"
        }
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      "sourceNative": {
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          "std_ms": 0.00607,
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        },
        "benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_Modal/torch-compile-inductor/level1/43_Max_Pooling_3D.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:bf2543e8d7ccc71be2cf86477b9e7511c0012f331c18ccefc9fcd637774d08e6",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
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    },
    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-43-max-pooling-3d",
      "title": "Max Pooling 3D · torch.compile (inductor) · Modal"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
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  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
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      },
      "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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    "kind": "ExecutionEnvironment",
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      "title": "KernelBench host · H100 80GB HBM3 (Modal)"
    },
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}
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