Transformers

{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 178816
        },
        "primaryStatistic": "median"
      },
      "observedAt": "2025-07-17T18:18:18.000Z",
      "measurements": [
        {
          "unit": "ns",
          "value": 177952,
          "metric": "latency",
          "statistic": "p20"
        },
        {
          "unit": "ns",
          "value": 179712,
          "metric": "latency",
          "statistic": "p80"
        }
      ],
      "sourceNative": {
        "source": "liger-kernel-bench",
        "metrics": {
          "ms_20": 0.17795200645923615,
          "ms_50": 0.17881600558757782,
          "ms_80": 0.17971199750900269
        },
        "benchmark": "layer_norm/backward",
        "externalId": "layer_norm/backward/huggingface/nvidia-h100-80gb-hbm3/hidden4096-rows4096-fp32/2025-07-17-18-18-18"
      },
      "protocolDigest": "sha256:080e6e66e4ec75a131aa0c9121c74b8e8eed64e7b6d621d567c6a28f79548be8",
      "workloadDigest": "sha256:c18a03ab80eee5adfcd97f582de99ab98c459be25807cde44b48ac623ad3af23",
      "environmentDigest": "sha256:2750ae381d6de582f1eb6b9008e0987463d19ede8af127d97d76c5ae09121393",
      "implementationDigest": "sha256:e9a9711948a0ff290958da13a2a6cc8d9951007fb5a0487fa893439b47d9db98"
    },
    "metadata": {
      "name": "liger-layer-norm-backward-huggingface-nvidia-h100-80gb-hbm3-hidden4096-rows4096-fp32-2025-07-17-18-1",
      "title": "LayerNorm · huggingface · backward",
      "labels": {
        "liger_version": "0.6.0"
      }
    },
    "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 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"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA H100",
        "formFactor": "80GB HBM3",
        "architecture": "sm_90"
      },
      "software": {}
    },
    "metadata": {
      "name": "liger-bench-nvidia-h100-80gb-hbm3",
      "title": "Liger benchmark host · H100 80GB HBM3"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}