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Fused neighborhood attention · seq = 64 · batch = 2 · heads = 8 · hidden = 512 · dilation = 1 · kernel_size = 7 · fp32 · run 01a0202b-21a5…
●passedReported evidence

Not re-observed recently.

Primary measurement
5.17msmedian

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

Compare with #1 →

ms 20 5.143871784210205 · ms 50 5.16915225982666 · ms 80 5.297952175140381

Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadseq = 64 · batch = 2 · heads = 8 · hidden = 512 · dilation = 1 · kernel_size = 7 · fp32
comparison keysha256:b44e9dc5987fd11f…
sourceLiger-Kernel benchmarks
external idfused_neighborhood_attention/forward/torch/nvidia-geforce-rtx-3090/batch2-dilation1-heads8-hidden512-kernel_size7-seq64-fp32/2025-05-27-15-09-01
sha256:66ddd4c32ed7cb7e06aeab2…

Correctness

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

Workload

seq64
batch2
heads8
hidden512
dilation1
kernel_size7
k_biasfp32 [512]
q_biasfp32 [512]
v_biasfp32 [512]
k_weightfp32 [512, 512]
out_biasfp32 [512]
q_weightfp32 [512, 512]
v_weightfp32 [512, 512]
out_weightfp32 [512, 512]
hidden_statesfp32 [2, 64, 512]
definition comparatornot_asserted

Measurements

latency · median5.17 ms
latency · p205.14 ms
latency · p805.30 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": 5169152
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2025-05-27T15:09:01.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 5143872,
          "metric": "latency",
          "statistic": "p20"
        },
        {
          "unit": "ns",
          "value": 5297952,
          "metric": "latency",
          "statistic": "p80"
        }
      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
          "ms_20": 5.143871784210205,
          "ms_50": 5.16915225982666,
          "ms_80": 5.297952175140381
        },
        "benchmark": "fused_neighborhood_attention/forward",
        "externalId": "fused_neighborhood_attention/forward/torch/nvidia-geforce-rtx-3090/batch2-dilation1-heads8-hidden512-kernel_size7-seq64-fp32/2025-05-27-15-09-01"
      },
      "protocolDigest": "sha256:a79eaf4df66c97c6adc1fb2d09df78682155d1ea86652ae0b70199875bde7747",
      "workloadDigest": "sha256:37fb4d8f01d07c258f90ba6d56953cedee681d301920d7808434f9a7e2ea40ce",
      "environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
      "implementationDigest": "sha256:0c3e4e2a4849358a1d5183daed7f408a3422f6cc411cc6bd7d4ebeead8e57e00"
    },
    "metadata": {
      "name": "liger-fused-neighborhood-attention-forward-torch-nvidia-geforce-rtx-3090-batch2-dilation1-heads8-hid",
      "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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