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torch.compile (inductor)

Gemm LogSumExp LeakyReLU LeakyReLU GELU GELU · batch_size = 1024 · in_features = 8192 · fp32 · run 01a03f0e-f6ea…
●passedReported evidence

Not re-observed recently.

Primary measurement
2.73ms±0.00 · mean of 100

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

max ms 2.77 · min ms 2.72 · std ms 0.00902 · mean ms 2.73

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 1024 · in_features = 8192 · fp32
comparison keysha256:70f13181b2a4e1a8…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level2/64_Gemm_LogSumExp_LeakyReLU_LeakyReLU_GELU_GELU.py
sha256:0afacefa0c88e560d002a3e…

Correctness

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

Workload

batch_size1024
in_features8192
input_1fp32 [1024, 8192]
definition comparatornot_asserted

Measurements

latency · max2.77 ms · n=100
latency · mean2.73 ms · n=100
latency · min2.72 ms · n=100
latency · std9.02 µs

Protocol

harnessKernelBench timing scripts
timercuda_events
primaryStatisticmean
comparabilityFamilykernelbench_baseline_timing

Environment

gpuNVIDIA H100 (sm_90)

Artifacts

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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": 2770000,
          "minimum": 2720000,
          "confidence95": [
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          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 9020,
          "metric": "latency",
          "statistic": "std"
        }
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      "sourceNative": {
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          "std_ms": 0.00902,
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        },
        "benchmark": "H100_Modal/baseline_time_torch_compile_inductor_default.json",
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      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:13682887728c8900438b02a1783bae7378a1c9098b3a9d6d2676aa003e4b46b5",
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      "implementationDigest": "sha256:57506b4571b01728f8432962eb2215895c3c74a5ba4f4319e2146e5cba6085bb"
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    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l2-64-gemm-logsumexp-leakyrelu-leakyrelu-gelu-gelu",
      "title": "Gemm LogSumExp LeakyReLU LeakyReLU GELU GELU · torch.compile (inductor) · Modal"
    },
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  "protocol": {
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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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}
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