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torch.compile (inductor)

conv standard 2D square input square kernel · width = 1024 · height = 1024 · batch_size = 16 · in_channels = 16 · fp32 · run 01a03f0e-f848…
●passedReported evidence

Not re-observed recently.

Primary measurement
19.4ms±0.07 · mean of 100

Rank 2 in its comparison group · source-native comparison · observed 2026-03-05

Compare with #1 →

max ms 20.1 · min ms 19.1 · std ms 0.362 · mean ms 19.4

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 1024 · height = 1024 · batch_size = 16 · in_channels = 16 · fp32
comparison keysha256:2ec8310e34b55ae3…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level1/63_conv_standard_2D__square_input__square_kernel.py
sha256:ffe872c0243fbaaef6b323b…

Correctness

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

Workload

width1024
height1024
batch_size16
in_channels16
xfp32 [16, 16, 1024, 1024]
definition comparatornot_asserted

Measurements

latency · max20.1 ms · n=100
latency · mean19.4 ms · n=100
latency · min19.1 ms · n=100
latency · std362.0 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
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    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
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          "confidence95": [
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          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 362000,
          "metric": "latency",
          "statistic": "std"
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      "sourceNative": {
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        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
        "externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level1/63_conv_standard_2D__square_input__square_kernel.py"
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      "workloadDigest": "sha256:de9115b629d1dcce66704916810b674af4bc29cec5636502f446a41e32de6060",
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      "implementationDigest": "sha256:9b7ba9267a8f0ffb74532eb52921b4392dbe4c7876e29fb5e410645fd5e1617a"
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    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l1-63-conv-standard-2d-square-input-square-k",
      "title": "conv standard 2D square input square kernel · torch.compile (inductor) · Lambda Labs"
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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",
      "title": "KernelBench baseline timing"
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  "environment": {
    "kind": "ExecutionEnvironment",
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}
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