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torch.compile (inductor)

conv transposed 2D asymmetric input asymmetric kernel padded · width = 1024 · height = 512 · batch_size = 8 · in_channels = 32 · fp32 · run 01a03f0e-f6e3…
●passedReported evidence

Not re-observed recently.

Primary measurement
2.36ms±0.01 · mean of 100

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

max ms 2.57 · min ms 2.34 · std ms 0.0277 · mean ms 2.36

Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadwidth = 1024 · height = 512 · batch_size = 8 · in_channels = 32 · fp32
comparison keysha256:e7f6655c9518aca8…
sourceKernelBench baseline timings
external idH100_Modal/torch-compile-inductor/level1/78_conv_transposed_2D_asymmetric_input_asymmetric_kernel___padded__.py
sha256:0b185d33f7d7003d3040597…

Correctness

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

Workload

width1024
height512
batch_size8
in_channels32
xfp32 [8, 32, 512, 1024]
definition comparatornot_asserted

Measurements

latency · max2.57 ms · n=100
latency · mean2.36 ms · n=100
latency · min2.34 ms · n=100
latency · std27.7 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",
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          "metric": "latency",
          "statistic": "std"
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        },
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    "metadata": {
      "name": "kernelbench-h100-modal-torch-compile-inductor-l1-78-conv-transposed-2d-asymmetric-input-asymmetric-k",
      "title": "conv transposed 2D asymmetric input asymmetric kernel padded · torch.compile (inductor) · Modal"
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  "protocol": {
    "kind": "BenchmarkProtocol",
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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"
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    },
    "metadata": {
      "name": "kernelbench-timing-v1",
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}
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