{
  "op": "ai.onnx.Softplus",
  "cases": [
    {
      "name": "1m_f32",
      "inputs": { "x": { "dtype": "float32", "shape": [1048576] } },
      "outputs": { "y": { "dtype": "float32", "shape": [1048576] } }
    },
    {
      "name": "softplus-f16-1m",
      "preset": "smoke",
      "vars": { "dtype": "float16", "count": 1048576 },
      "inputs": { "x": { "shape": [1048576], "dtype": "float16", "dist": "normal", "seed": 7041, "scale": 1 } },
      "outputs": { "y": { "shape": [1048576], "dtype": "float16" } },
      "bench": {
        "primary": true,
        "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }]
      }
    },
    {
      "name": "softplus-f32-1m-plus3",
      "preset": "smoke",
      "vars": { "dtype": "float32", "count": 1048579 },
      "inputs": { "x": { "shape": [1048579], "dtype": "float32", "dist": "normal", "seed": 7042, "scale": 1 } },
      "outputs": { "y": { "shape": [1048579], "dtype": "float32" } },
      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] }
    }
  ]
}