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PyTorch eager

GRU · seq_len = 512 · batch_size = 10 · input_size = 128 · num_layers = 6 · hidden_size = 256 · fp32 · run 01a03f0e-f841…
●passedReported evidence

Not re-observed recently.

Primary measurement
21.7ms±0.08 · mean of 100

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

max ms 23.8 · min ms 21.5 · std ms 0.406 · mean ms 21.7

Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadseq_len = 512 · batch_size = 10 · input_size = 128 · num_layers = 6 · hidden_size = 256 · fp32
comparison keysha256:6cd99dd53b3f685a…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level3/39_GRU.py
sha256:5ba0e2e7e3303cd0b59b57b…

Correctness

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

Workload

seq_len512
batch_size10
input_size128
num_layers6
hidden_size256
input_1fp32 [512, 10, 128]
input_2fp32 [6, 10, 256]
definition comparatornot_asserted

Measurements

latency · max23.8 ms · n=100
latency · mean21.7 ms · n=100
latency · min21.5 ms · n=100
latency · std406.0 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

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    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "samples": 100,
        "latencyNs": {
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          "maximum": 23800000,
          "minimum": 21500000,
          "confidence95": [
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          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 406000,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
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        "metrics": {
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          "min_ms": 21.5,
          "std_ms": 0.406,
          "mean_ms": 21.7
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch.json",
        "externalId": "H100_PCIe_LambdaLabs/torch/level3/39_GRU.py"
      },
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      "workloadDigest": "sha256:98036b47f9b9f46968dd2a71caffd1843c0a0be461c1d061e9b4c2a29576c8d2",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:d224407b85a96bf2b08ce8a61a841cfcaf59a824204bb5c65e2f42d7dc1093a5"
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    "metadata": {
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      "title": "GRU · PyTorch eager · Lambda Labs"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
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  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
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      },
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        "family": "kernelbench_baseline_timing"
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    },
    "metadata": {
      "name": "kernelbench-timing-v1",
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    "kind": "ExecutionEnvironment",
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}
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