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torch.compile (inductor)

ConvTranspose2d Min Sum GELU Add · width = 128 · height = 128 · batch_size = 16 · in_channels = 64 · fp32 · run 01a03f0e-f84d…
●passedReported evidence

Not re-observed recently.

Primary measurement
924.0µs±0.78 · mean of 100

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

max ms 0.94 · min ms 0.917 · std ms 0.00398 · mean ms 0.924

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 128 · height = 128 · batch_size = 16 · in_channels = 64 · fp32
comparison keysha256:7773a4384ba8b770…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level2/36_ConvTranspose2d_Min_Sum_GELU_Add.py
sha256:1f03cf82b3cbe27aa031765…

Correctness

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

Workload

width128
height128
batch_size16
in_channels64
input_1fp32 [16, 64, 128, 128]
definition comparatornot_asserted

Measurements

latency · max940.0 µs · n=100
latency · mean924.0 µs · n=100
latency · min917.0 µs · n=100
latency · std3.98 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": {
          "mean": 924000,
          "maximum": 940000,
          "minimum": 917000,
          "confidence95": [
            923220,
            924780
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 3980,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
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        "metrics": {
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          "min_ms": 0.917,
          "std_ms": 0.00398,
          "mean_ms": 0.924
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level2/36_ConvTranspose2d_Min_Sum_GELU_Add.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:5344ff01e523b5a8ad086b458bf6e6b8362b7aaaf4d1d3069e4b7142f9c55491",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:34b77fc4969ed3914d68fc028929511cbcc526eb1a701486c3c831e4ce353e01"
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l2-36-convtranspose2d-min-sum-gelu-add",
      "title": "ConvTranspose2d Min Sum GELU Add · torch.compile (inductor) · Lambda Labs"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
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  "protocol": {
    "kind": "BenchmarkProtocol",
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      },
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        "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"
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  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
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      "title": "KernelBench host · H100 PCIe (Lambda Labs)"
    },
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  }
}
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