PyTorch

{
  "run": {
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      "status": "passed",
      "timing": {
        "latencyNs": {
          "median": 57584
        },
        "primaryStatistic": "median"
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      "measurements": [
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        {
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      "sourceNative": {
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        "benchmark": "softmax/forward",
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      "implementationDigest": "sha256:643178d96c20c26e7a3c3c424ad25f85170a76224689482539da1059ff9aacea"
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      "title": "Softmax · torch · forward",
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    "apiVersion": "kernelindex.dev/v1alpha1"
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        "repository": "https://github.com/linkedin/Liger-Kernel"
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        "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.",
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      "title": "Liger benchmark host · GeForce RTX 3090"
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}