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torch.compile (inductor)

L1Norm · dim = 65535 · batch_size = 32768 · fp32 · run 01a03f0e-f6e0…
●passedReported evidence

Not re-observed recently.

Primary measurement
13.1ms±0.06 · mean of 100

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

max ms 15.5 · min ms 12.8 · std ms 0.303 · mean ms 13.1

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloaddim = 65535 · batch_size = 32768 · fp32
comparison keysha256:3fcb8ab537984e29…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/38_L1Norm_.py
sha256:ce0690a09ebe9325c6bca8d…

Correctness

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

Workload

dim65535
batch_size32768
xfp32 [32768, 65535]
definition comparatornot_asserted

Measurements

latency · max15.5 ms · n=100
latency · mean13.1 ms · n=100
latency · min12.8 ms · n=100
latency · std303.0 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": 13100000,
          "maximum": 15500000,
          "minimum": 12800000,
          "confidence95": [
            13040612,
            13159388
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 303000,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 15.5,
          "min_ms": 12.8,
          "std_ms": 0.303,
          "mean_ms": 13.1
        },
        "benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_Modal/torch-compile-inductor/level1/38_L1Norm_.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:f9bc956ddeb65b413a05ef6067d6ce5c94721d8d742920de7d6936f809bb926a",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
      "implementationDigest": "sha256:ef23d6f9ef94ca1a5a982f34af9675ca149d9701f4984801eda03c83c099d6a8"
    },
    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-38-l1norm",
      "title": "L1Norm · 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"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA H100",
        "formFactor": "80GB HBM3",
        "architecture": "sm_90"
      },
      "software": {}
    },
    "metadata": {
      "name": "kernelbench-h100-modal",
      "title": "KernelBench host · H100 80GB HBM3 (Modal)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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