PyTorch eager
GRUBidirectional · seq_len = 512 · batch_size = 10 · input_size = 128 · hidden_size = 256 · fp32 · run 01a03f0e-f841…
●passedReported evidence
Not re-observed recently.
Primary measurement
42.6ms±0.18 · mean of 100
Rank 1 in its comparison group · source-native comparison · observed 2026-03-05
max ms 46.4 · min ms 41.9 · std ms 0.94 · mean ms 42.6
Identity
implementationPyTorch eager
projectPyTorch
revisionunknown
workloadseq_len = 512 · batch_size = 10 · input_size = 128 · hidden_size = 256 · fp32
comparison keysha256:986636db32220db0…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch/level3/41_GRUBidirectional.py
sha256:c43da76b9aed7c69df21229…
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 · max46.4 ms · n=100
latency · mean42.6 ms · n=100
latency · min41.9 ms · n=100
latency · std940.0 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
No attestations yet.
Community attestations. They never change the evidence level; only a KernelIndex-controlled rerun does.
Add a reproduction or note
Canonical manifest
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{
"run": {
"kind": "BenchmarkRun",
"spec": {
"status": "passed",
"timing": {
"samples": 100,
"latencyNs": {
"mean": 42600000,
"maximum": 46400000,
"minimum": 41900000,
"confidence95": [
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]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 940000,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
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"metrics": {
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"min_ms": 41.9,
"std_ms": 0.94,
"mean_ms": 42.6
},
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"externalId": "H100_PCIe_LambdaLabs/torch/level3/41_GRUBidirectional.py"
},
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"workloadDigest": "sha256:e11defd177fb8f971bb541298d49e649bedbc0474b9214879dd2ac79407810fa",
"environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
"implementationDigest": "sha256:f7f8dfb30505a95042d2346bd342ccdf6eb38ad5756a9ce00c6a995e2ad31a65"
},
"metadata": {
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"title": "GRUBidirectional · PyTorch eager · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
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},
"measurement": {
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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": {
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},
"apiVersion": "kernelindex.dev/v1alpha1"
}
}Cite this record (permalink, digest, access date)
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Published 2026-08-26 · KernelBench baseline timings · MITAll results for GRUBidirectional →JSON