PyTorch

{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 81728
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2026-03-27T06:09:38.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 81024,
          "metric": "latency",
          "statistic": "p20"
        },
        {
          "unit": "ns",
          "value": 82464,
          "metric": "latency",
          "statistic": "p80"
        }
      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
          "ms_20": 0.08102399855852127,
          "ms_50": 0.081727996468544,
          "ms_80": 0.08246400207281113
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        "benchmark": "relu_squared/full",
        "externalId": "relu_squared/full/torch/nvidia-h100-80gb-hbm3/hidden2048-rows4096-bf16/2026-03-27-06-09-38"
      },
      "protocolDigest": "sha256:5b02ee9a2140fbc6fcc1c89800f6c177ba22718c8897cb532bf0ba91867c1e58",
      "workloadDigest": "sha256:330bb50e3693ce7a421b9a08d91e3a551598cde954060ec1c963b51f180f0096",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
      "implementationDigest": "sha256:ce55d39a62f0f84142e1fb25300736a7880501f42bec3a607a0d6fb5925a1ee6"
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    "metadata": {
      "name": "liger-relu-squared-full-torch-nvidia-h100-80gb-hbm3-hidden2048-rows4096-bf16-2026-03-27-06-09-38",
      "title": "ReLU squared · torch · full",
      "labels": {
        "liger_version": "0.7.0"
      }
    },
    "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"
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    "metadata": {
      "name": "liger-bench-do-bench-full",
      "title": "Liger benchmark harness · full pass"
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    "spec": {
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        "product": "NVIDIA H100",
        "formFactor": "80GB HBM3",
        "architecture": "sm_90"
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      "software": {}
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    "metadata": {
      "name": "liger-bench-nvidia-h100-80gb-hbm3",
      "title": "Liger benchmark host · H100 80GB HBM3"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
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}