PyTorch

{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 602112
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2025-04-28T00:38:20.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 601088,
          "metric": "latency",
          "statistic": "p20"
        },
        {
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          "value": 604160,
          "metric": "latency",
          "statistic": "p80"
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      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
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          "ms_50": 0.6021119952201843,
          "ms_80": 0.6041600108146667
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        "benchmark": "sparsemax/full",
        "externalId": "sparsemax/full/torch/nvidia-geforce-rtx-3090/features1024-tokens2048-fp32/2025-04-28-00-38-20"
      },
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      "workloadDigest": "sha256:a025337f50fa641245b5a54de3fe9c956ab7b937243c2e16b113a6773889345d",
      "environmentDigest": "sha256:b12fdfab6a337672499b10212a1e986e49e4383777bd7cbb58321b09af4bf6a3",
      "implementationDigest": "sha256:e496948f60e3e1a1ed83175ec6976b730d22c5a670f0b3813918a5a72833bb23"
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    "metadata": {
      "name": "liger-sparsemax-full-torch-nvidia-geforce-rtx-3090-features1024-tokens2048-fp32-2025-04-28-00-38-20",
      "title": "Sparsemax · torch · full",
      "labels": {
        "liger_version": "0.5.8"
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    },
    "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"
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      "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"
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      "title": "Liger benchmark harness · full pass"
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        "product": "NVIDIA GeForce RTX 3090",
        "architecture": "sm_86"
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      "software": {}
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    "metadata": {
      "name": "liger-bench-nvidia-geforce-rtx-3090",
      "title": "Liger benchmark host · GeForce RTX 3090"
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    "apiVersion": "kernelindex.dev/v1alpha1"
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}