definitions/simd-loop/loop_126.json

{
  "name": "loop_126",
  "op_type": "loop_126",
  "description": "Conditionally update array elements where a per-element predicate holds",
  "tags": [
    "simd-loop"
  ],
  "axes": {
    "N": {
      "type": "var",
      "description": "Array length"
    }
  },
  "inputs": {
    "a": {
      "shape": [
        "N"
      ],
      "dtype": "int32"
    },
    "b": {
      "shape": [
        "N"
      ],
      "dtype": "int32"
    }
  },
  "outputs": {
    "res": {
      "shape": null,
      "dtype": "uint32",
      "description": "Scalar result"
    }
  },
  "reference": "import numpy as np\n\ndef run(a, b):\n    res = np.uint32(0)\n    for i in range(len(a)):\n        res = np.uint32(int(res) + int(a[i]) * int(b[i]))\n        if res % 2:\n            res = np.uint32(int(res) + 1)\n    return res\n",
  "simd_loop_meta": {
    "output_inplace": false,
    "array_pad": 0,
    "scratch": []
  }
}