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Fused linear + CPO loss · seq = 1024 · batch = 8 · vocab = 128256 · hidden = 4096 · bf16 · run 01a0202b-2167…
●passedReported evidence

Not re-observed recently.

Primary measurement
51.9msmedian

Rank 1 in its comparison group · source-native comparison · observed 2024-11-14

ms 20 51.85932922363281 · ms 50 51.85932922363281 · ms 80 51.85932922363281

Identity
implementationTransformers
projectHugging Face Transformers
revisionunknown
workloadseq = 1024 · batch = 8 · vocab = 128256 · hidden = 4096 · bf16
comparison keysha256:dd1b598c740bcab4…
sourceLiger-Kernel benchmarks
external idfused_linear_cpo_loss/forward/huggingface/nvidia-a100-sxm4-80gb/batch8-hidden4096-seq1024-vocab128256-bf16/2024-11-14-16-55-20
sha256:cc0f38c57fef99fbfaf13fe…

Correctness

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

Workload

seq1024
batch8
vocab128256
hidden4096
xbf16 [8, 1024, 4096]
targetint64 [8, 1024]
weightbf16 [128256, 4096]
definition comparatornot_asserted

Measurements

latency · median51.9 ms
latency · p2051.9 ms
latency · p8051.9 ms

Protocol

harnessLiger-Kernel benchmark scripts
timercuda_events
primaryStatisticmedian
comparabilityFamilyliger_kernel_bench

Environment

gpuNVIDIA A100 (sm_80)

Artifacts

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 51859329
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2024-11-14T16:55:20.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 51859329,
          "metric": "latency",
          "statistic": "p20"
        },
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          "metric": "latency",
          "statistic": "p80"
        }
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      "sourceNative": {
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        "metrics": {
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          "ms_50": 51.85932922363281,
          "ms_80": 51.85932922363281
        },
        "benchmark": "fused_linear_cpo_loss/forward",
        "externalId": "fused_linear_cpo_loss/forward/huggingface/nvidia-a100-sxm4-80gb/batch8-hidden4096-seq1024-vocab128256-bf16/2024-11-14-16-55-20"
      },
      "protocolDigest": "sha256:a79eaf4df66c97c6adc1fb2d09df78682155d1ea86652ae0b70199875bde7747",
      "workloadDigest": "sha256:fdaed1c50a0cd0258316b8b8f27978665f2ef5ac373f098844c1ed614b326042",
      "environmentDigest": "sha256:90c9e2764222f592477cfccf3373519add5a1b881563956ad058c4f99e41b6b9",
      "implementationDigest": "sha256:4a48076b1e37e0c4bef0af8dfd8a58ab3edf8b9a9d143e584ce235c14c7013ea"
    },
    "metadata": {
      "name": "liger-fused-linear-cpo-loss-forward-huggingface-nvidia-a100-sxm4-80gb-batch8-hidden4096-seq1024-voca",
      "title": "Fused linear + CPO loss · huggingface · forward",
      "labels": {
        "liger_version": "0.4.1"
      }
    },
    "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 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"
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    "spec": {
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    "metadata": {
      "name": "liger-bench-nvidia-a100-sxm4-80gb",
      "title": "Liger benchmark host · A100-SXM4-80GB"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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