Run 01a0202b · KernelIndex

Primary measurement

24.0msmedian

Rank 2 in its comparison group · source-native comparison · observed 2025-05-27

Compare with #1 →

ms 20 23.594995498657227 · ms 50 24.001535415649414 · ms 80 25.934438705444336

Identity

implementationPyTorch

projectPyTorch

revisionunknown

workloadseq = 256 · batch = 2 · heads = 16 · hidden = 1024 · dilation = 1 · kernel_size = 9 · fp32

comparison keysha256:4544f13622c21cf9…

sourceLiger-Kernel benchmarks

external idfused_neighborhood_attention/forward/torch/nvidia-geforce-rtx-3090/batch2-dilation1-heads16-hidden1024-kernel_size9-seq256-fp32/2025-05-27-15-10-20

sha256:e26ae893c5b8ca7c1c83171…

Correctness

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

Workload

seq256

batch2

heads16

hidden1024

dilation1

kernel_size9

k_biasfp32 [1024]

q_biasfp32 [1024]

v_biasfp32 [1024]

k_weightfp32 [1024, 1024]

out_biasfp32 [1024]

q_weightfp32 [1024, 1024]

v_weightfp32 [1024, 1024]

out_weightfp32 [1024, 1024]

hidden_statesfp32 [2, 256, 1024]

definition comparatornot_asserted

Measurements

latency · median24.0 ms

latency · p2023.6 ms

latency · p8025.9 ms

Protocol

harnessLiger-Kernel benchmark scripts

timercuda_events

primaryStatisticmedian

comparabilityFamilyliger_kernel_bench

Environment

gpuNVIDIA GeForce RTX 3090 (sm_86)

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.

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 24001535
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2025-05-27T15:10:20.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 23594995,
          "metric": "latency",
          "statistic": "p20"
        },
        {
          "unit": "ns",
          "value": 25934439,
          "metric": "latency",
          "statistic": "p80"
        }
      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
          "ms_20": 23.594995498657227,
          "ms_50": 24.001535415649414,
          "ms_80": 25.934438705444336
        },
        "benchmark": "fused_neighborhood_attention/forward",
        "externalId": "fused_neighborhood_attention/forward/torch/nvidia-geforce-rtx-3090/batch2-dilation1-heads16-hidden1024-kernel_size9-seq256-fp32/2025-05-27-15-10-20"
      },
      "protocolDigest": "sha256:a79eaf4df66c97c6adc1fb2d09df78682155d1ea86652ae0b70199875bde7747",
      "workloadDigest": "sha256:9d1bf1eddfb4f170ed1f228ecef5c50ddda7a341b4ac36d85cf9c0522d86c7b5",
      "environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
      "implementationDigest": "sha256:0c3e4e2a4849358a1d5183daed7f408a3422f6cc411cc6bd7d4ebeead8e57e00"
    },
    "metadata": {
      "name": "liger-fused-neighborhood-attention-forward-torch-nvidia-geforce-rtx-3090-batch2-dilation1-heads16-hi",
      "title": "Fused neighborhood attention · torch · forward",
      "labels": {
        "liger_version": "0.5.10"
      }
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "Liger-Kernel benchmark scripts",
        "repository": "https://github.com/linkedin/Liger-Kernel"
      },
      "measurement": {
        "timer": "cuda_events",
        "primaryStatistic": "median"
      },
      "comparability": {
        "notes": "Timed: the module forward pass, via triton.testing.do_bench with quantiles 0.5/0.2/0.8 (median with p20/p80 spread). The upstream CSV records no CUDA, driver, or torch version; the Liger release rides each run's labels. Comparable only within one kernel, workload, timed pass, and GPU.",
        "family": "liger_kernel_bench"
      }
    },
    "metadata": {
      "name": "liger-bench-do-bench-forward",
      "title": "Liger benchmark harness · forward pass"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA GeForce RTX 3090",
        "architecture": "sm_86"
      },
      "software": {}
    },
    "metadata": {
      "name": "liger-bench-nvidia-geforce-rtx-3090",
      "title": "Liger benchmark host · GeForce RTX 3090"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}

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Published 2026-08-20 · Liger-Kernel benchmarks · BSD-2-ClauseAll results for Fused neighborhood attention →JSON