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torch.compile (inductor)

FrobeniusNorm · dim1 = 512 · dim2 = 512 · features = 64 · batch_size = 112 · fp32 · run 01a03f0e-f6e0…
●passedReported evidence

Not re-observed recently.

Primary measurement
7.45ms±0.04 · mean of 100

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

max ms 8.01 · min ms 7.3 · std ms 0.204 · mean ms 7.45

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddim1 = 512 · dim2 = 512 · features = 64 · batch_size = 112 · fp32
comparison keysha256:9424c363735520ae…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/37_FrobeniusNorm_.py
sha256:ed1ef5892e07d62b29a6078…

Correctness

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

Workload

dim1512
dim2512
features64
batch_size112
xfp32 [112, 64, 512, 512]
definition comparatornot_asserted

Measurements

latency · max8.01 ms · n=100
latency · mean7.45 ms · n=100
latency · min7.30 ms · n=100
latency · std204.0 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

Show manifest
{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
          "mean": 7450000,
          "maximum": 8010000,
          "minimum": 7300000,
          "confidence95": [
            7410016,
            7489984
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 204000,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 8.01,
          "min_ms": 7.3,
          "std_ms": 0.204,
          "mean_ms": 7.45
        },
        "benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_Modal/torch-compile-inductor/level1/37_FrobeniusNorm_.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:8853a8ec8031ed61521466198342ec58f3fd2aee79629f80128343b35a74b4f1",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
      "implementationDigest": "sha256:7d73716da83fcb52a29a9ac8b0df09398ea468bd4fca0d064f06916ac281b425"
    },
    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-37-frobeniusnorm",
      "title": "FrobeniusNorm · torch.compile (inductor) · Modal"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "KernelBench timing scripts",
        "repository": "https://github.com/ScalingIntelligence/KernelBench"
      },
      "measurement": {
        "timer": "cuda_events",
        "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"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
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  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA H100",
        "formFactor": "80GB HBM3",
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    },
    "metadata": {
      "name": "kernelbench-h100-modal",
      "title": "KernelBench host · H100 80GB HBM3 (Modal)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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