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Fused neighborhood attention · seq = 512 · batch = 2 · heads = 16 · hidden = 1024 · dilation = 1 · kernel_size = 9 · fp32 · run 01a0202b-21bb…
●passedReported evidence

Not re-observed recently.

Primary measurement
54.0msmedian

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

Compare with #1 →

ms 20 53.98118209838867 · ms 50 53.98118209838867 · ms 80 53.98118209838867

Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadseq = 512 · batch = 2 · heads = 16 · hidden = 1024 · dilation = 1 · kernel_size = 9 · fp32
comparison keysha256:51370b9806542a9f…
sourceLiger-Kernel benchmarks
external idfused_neighborhood_attention/full/torch/nvidia-geforce-rtx-3090/batch2-dilation1-heads16-hidden1024-kernel_size9-seq512-fp32/2025-05-27-15-10-43
sha256:74745766371374e13ef3901…

Correctness

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

Workload

seq512
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, 512, 1024]
definition comparatornot_asserted

Measurements

latency · median54.0 ms
latency · p2054.0 ms
latency · p8054.0 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

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 53981182
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2025-05-27T15:10:43.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 53981182,
          "metric": "latency",
          "statistic": "p20"
        },
        {
          "unit": "ns",
          "value": 53981182,
          "metric": "latency",
          "statistic": "p80"
        }
      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
          "ms_20": 53.98118209838867,
          "ms_50": 53.98118209838867,
          "ms_80": 53.98118209838867
        },
        "benchmark": "fused_neighborhood_attention/full",
        "externalId": "fused_neighborhood_attention/full/torch/nvidia-geforce-rtx-3090/batch2-dilation1-heads16-hidden1024-kernel_size9-seq512-fp32/2025-05-27-15-10-43"
      },
      "protocolDigest": "sha256:5b02ee9a2140fbc6fcc1c89800f6c177ba22718c8897cb532bf0ba91867c1e58",
      "workloadDigest": "sha256:de70af1bad7508138d9d55b63f8bf2fdf275da848af7f57db512a5b9d3823943",
      "environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
      "implementationDigest": "sha256:0c3e4e2a4849358a1d5183daed7f408a3422f6cc411cc6bd7d4ebeead8e57e00"
    },
    "metadata": {
      "name": "liger-fused-neighborhood-attention-full-torch-nvidia-geforce-rtx-3090-batch2-dilation1-heads16-hidde",
      "title": "Fused neighborhood attention · torch · full",
      "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 forward pass plus the backward 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-full",
      "title": "Liger benchmark harness · full 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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