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Multi-token attention · k = 3 · seq = 512 · batch = 2 · heads_in = 4 · heads_out = 4 · bf16 · run 01a0202b-219b…
●passedReported evidence

Not re-observed recently.

Primary measurement
520.2µsmedian

Rank 2 in its comparison group · source-native comparison · observed 2025-04-28

Compare with #1 →

ms 20 0.5191680192947388 · ms 50 0.52019202709198 · ms 80 0.52019202709198

Identity
implementationPyTorch
projectPyTorch
revisionunknown
workloadk = 3 · seq = 512 · batch = 2 · heads_in = 4 · heads_out = 4 · bf16
comparison keysha256:2a5254b5c78f9a0b…
sourceLiger-Kernel benchmarks
external idmulti_token_attention/backward/torch/nvidia-geforce-rtx-3090/batch2-heads_in4-heads_out4-k3-seq512-bf16/2025-04-28-04-46-15
sha256:3385cc77cc30090b4db23e7…

Correctness

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

Workload

k3
seq512
batch2
heads_in4
heads_out4
biasbf16 [4]
scoresbf16 [2, 4, 512, 512]
weightbf16 [4, 4, 3, 3]
definition comparatornot_asserted

Measurements

latency · median520.2 µs
latency · p20519.2 µs
latency · p80520.2 µs

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": 520192
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2025-04-28T04:46:15.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 519168,
          "metric": "latency",
          "statistic": "p20"
        },
        {
          "unit": "ns",
          "value": 520192,
          "metric": "latency",
          "statistic": "p80"
        }
      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
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          "ms_50": 0.52019202709198,
          "ms_80": 0.52019202709198
        },
        "benchmark": "multi_token_attention/backward",
        "externalId": "multi_token_attention/backward/torch/nvidia-geforce-rtx-3090/batch2-heads_in4-heads_out4-k3-seq512-bf16/2025-04-28-04-46-15"
      },
      "protocolDigest": "sha256:080e6e66e4ec75a131aa0c9121c74b8e8eed64e7b6d621d567c6a28f79548be8",
      "workloadDigest": "sha256:ba1632be2b9d2558500779a1dc10840a134627ea51f811351b6853829725bc8e",
      "environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
      "implementationDigest": "sha256:6d4198771fde93bb65a4b8958b54d34a4cf41b41ae68b21aa09bf478b4aa6660"
    },
    "metadata": {
      "name": "liger-multi-token-attention-backward-torch-nvidia-geforce-rtx-3090-batch2-heads-in4-heads-out4-k3-se",
      "title": "Multi-token attention · torch · backward",
      "labels": {
        "liger_version": "0.1.1"
      }
    },
    "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 backward pass of the module output given a random upstream gradient, 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-backward",
      "title": "Liger benchmark harness · backward pass"
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    "apiVersion": "kernelindex.dev/v1alpha1"
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  "environment": {
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    "spec": {
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        "product": "NVIDIA GeForce RTX 3090",
        "architecture": "sm_86"
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      "software": {}
    },
    "metadata": {
      "name": "liger-bench-nvidia-geforce-rtx-3090",
      "title": "Liger benchmark host · GeForce RTX 3090"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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