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torch.compile (inductor)

Conv3d Multiply InstanceNorm Clamp Multiply Max · depth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32 · run 01a03f0e-f850…
●passedReported evidence

Not re-observed recently.

Primary measurement
985.0µs±0.92 · mean of 100

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

max ms 0.999 · min ms 0.977 · std ms 0.00471 · mean ms 0.985

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddepth = 16 · width = 32 · height = 32 · batch_size = 128 · in_channels = 3 · fp32
comparison keysha256:7874426b0fc1b79f…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/79_Conv3d_Multiply_InstanceNorm_Clamp_Multiply_Max.py
sha256:5add334e1b175f06e7b1480…

Correctness

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

Workload

depth16
width32
height32
batch_size128
in_channels3
input_1fp32 [128, 3, 16, 32, 32]
definition comparatornot_asserted

Measurements

latency · max999.0 µs · n=100
latency · mean985.0 µs · n=100
latency · min977.0 µs · n=100
latency · std4.71 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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        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 4710,
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          "statistic": "std"
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        },
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        "externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level2/79_Conv3d_Multiply_InstanceNorm_Clamp_Multiply_Max.py"
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    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l2-79-conv3d-multiply-instancenorm-clamp-mul",
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  "protocol": {
    "kind": "BenchmarkProtocol",
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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",
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  "environment": {
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      "title": "KernelBench host · H100 PCIe (Lambda Labs)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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