torch.compile (inductor)
LSTMBidirectional · batch_size = 10 · input_size = 128 · hidden_size = 256 · sequence_length = 512 · fp32 · run 01a03f0e-f854…
●passedReported evidence
Not re-observed recently.
Primary measurement
57.6ms±0.23 · mean of 100
Rank 2 in its comparison group · source-native comparison · observed 2026-03-05
max ms 63.5 · min ms 56.7 · std ms 1.16 · mean ms 57.6
Identity
implementationtorch.compile (inductor)
projectPyTorch
revisionunknown
workloadbatch_size = 10 · input_size = 128 · hidden_size = 256 · sequence_length = 512 · fp32
comparison keysha256:71141300fe95bf84…
sourceKernelBench baseline timings
external idH100_PCIe_LambdaLabs/torch-compile-inductor/level3/38_LSTMBidirectional.py
sha256:5bd99a0fdf3ebbde19960a5…
Correctness
Marked passed by the source; the correctness policy was not published.
Workload
batch_size10
input_size128
hidden_size256
sequence_length512
input_1fp32 [10, 512, 128]
input_2fp32 [12, 10, 256]
input_3fp32 [12, 10, 256]
definition comparatornot_asserted
Measurements
latency · max63.5 ms · n=100
latency · mean57.6 ms · n=100
latency · min56.7 ms · n=100
latency · std1.16 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
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": 57600000,
"maximum": 63500000,
"minimum": 56700000,
"confidence95": [
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57827360
]
},
"primaryStatistic": "mean"
},
"observedAt": "2026-03-05T08:38:15.000Z",
"measurements": [
{
"unit": "ns",
"value": 1160000,
"metric": "latency",
"statistic": "std"
}
],
"sourceNative": {
"source": "kernelbench",
"metrics": {
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"min_ms": 56.7,
"std_ms": 1.16,
"mean_ms": 57.6
},
"benchmark": "H100_PCIe_LambdaLabs/baseline_time_torch_compile_inductor_default.json",
"externalId": "H100_PCIe_LambdaLabs/torch-compile-inductor/level3/38_LSTMBidirectional.py"
},
"protocolDigest": "sha256:547725b033a9911eae0c5ac362344a85aed824894ed4ab476af945b9bb491ea6",
"workloadDigest": "sha256:98fa6a8392aaa55fb6f944ca5134e4fba220e83eef08372c3dae5c06c0e16d6b",
"environmentDigest": "sha256:89f9b28b06758f22a1df331fea58bfde2c9cc0f3627d1829509743ea538f0011",
"implementationDigest": "sha256:c4269f3467fc01d3fa8f1fd2137cca81ba604eeda1b41d9b6dec7f0fe2333e9f"
},
"metadata": {
"name": "kernelbench-h100-pcie-lambdalabs-torch-compile-inductor-l3-38-lstmbidirectional",
"title": "LSTMBidirectional · torch.compile (inductor) · Lambda Labs"
},
"apiVersion": "kernelindex.dev/v1alpha1"
},
"protocol": {
"kind": "BenchmarkProtocol",
"spec": {
"harness": {
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"repository": "https://github.com/ScalingIntelligence/KernelBench"
},
"measurement": {
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"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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"environment": {
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"spec": {
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"software": {}
},
"metadata": {
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"title": "KernelBench host · H100 PCIe (Lambda Labs)"
},
"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 LSTMBidirectional →JSON