{
  "op": "ai.onnx.Or",
  "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] },
  "cases": [
    {
      "name": "or-bool-4m",
      "preset": "smoke",
      "vars": { "dtype": "bool", "count": 4194304 },
      "inputs": {
        "a": { "dtype": "bool", "shape": [4194304], "dist": "linearMod", "mod": 2, "step": 1, "offset": 0 },
        "b": { "dtype": "bool", "shape": [4194304], "dist": "linearMod", "mod": 2, "step": 1, "offset": 1 }
      },
      "outputs": { "c": { "dtype": "bool", "shape": [4194304] } },
      "bench": {
        "primary": true,
        "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 3" }]
      }
    },
    {
      "name": "or-broadcast-4m",
      "preset": "stress",
      "vars": { "rows": 128, "cols": 32768, "count": 4194304 },
      "inputs": {
        "a": { "dtype": "bool", "shape": [1, 32768], "dist": "linearMod", "mod": 2, "step": 1, "offset": 0 },
        "b": { "dtype": "bool", "shape": [128, 1], "dist": "linearMod", "mod": 2, "step": 1, "offset": 1 }
      },
      "outputs": { "c": { "dtype": "bool", "shape": [128, 32768], "dist": "empty" } },
      "bench": {
        "metrics": [{ "type": "bandwidth", "value": "(dim(shapes.c,0) + dim(shapes.c,1) + numel(shapes.c)) * 4" }]
      }
    }
  ]
}