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PyTorch eager

GRUBidirectionalHidden · seq_len = 512 · batch_size = 10 · input_size = 128 · hidden_size = 256 · fp32 · run 01a03f0e-f842…
●passedReported evidence

Not re-observed recently.

Primary measurement
42.7ms±0.22 · mean of 100

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

max ms 47.9 · min ms 41.9 · std ms 1.13 · mean ms 42.7

Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadseq_len = 512 · batch_size = 10 · input_size = 128 · hidden_size = 256 · fp32
comparison keysha256:f66523c886bfef82…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level3/42_GRUBidirectionalHidden.py
sha256:b1ea7091a73aeaf95684bef…

Correctness

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

Workload

seq_len512
batch_size10
input_size128
hidden_size256
input_1fp32 [512, 10, 128]
input_2fp32 [12, 10, 256]
definition comparatornot_asserted

Measurements

latency · max47.9 ms · n=100
latency · mean42.7 ms · n=100
latency · min41.9 ms · n=100
latency · std1.13 ms

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": 42700000,
          "maximum": 47900000,
          "minimum": 41900000,
          "confidence95": [
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            42921480
          ]
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-05T08:38:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 1130000,
          "metric": "latency",
          "statistic": "std"
        }
      ],
      "sourceNative": {
        "source": "kernelbench",
        "metrics": {
          "max_ms": 47.9,
          "min_ms": 41.9,
          "std_ms": 1.13,
          "mean_ms": 42.7
        },
        "benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch.json",
        "externalId": "H100_PCIe_LambdaLabs/torch/level3/42_GRUBidirectionalHidden.py"
      },
      "protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
      "workloadDigest": "sha256:1d3d1b37d9ca2f4cd7217960d59efa5f4a79b15b5f80f3833e21269a211ca028",
      "environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
      "implementationDigest": "sha256:703b724a4ac683e2a9843842c188e30c06b17d72c0cdf96a127f6a27bd503d96"
    },
    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs-torch-l3-42-grubidirectionalhidden",
      "title": "GRUBidirectionalHidden · PyTorch eager · Lambda Labs"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
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      },
      "measurement": {
        "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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    "apiVersion": "kernelindex.dev/v1alpha1"
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  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA H100",
        "formFactor": "PCIe",
        "architecture": "sm_90"
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    "metadata": {
      "name": "kernelbench-h100-pcie-lambdalabs",
      "title": "KernelBench host · H100 PCIe (Lambda Labs)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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