{
  "domain": "com.microsoft",
  "name": "BiasAdd",
  "sinceVersion": 1,
  "description": "Adds a 1-D `bias` (broadcast over the channel dimension) to input `X`, then adds the residual tensor `skip` elementwise. All three tensors share the same channel count `C`; `X` and `skip` have shape `(N, S, C)`.",
  "inputs": [
    {
      "role": "X",
      "dtype": "T",
      "rank": 3,
      "description": "Input tensor of shape `(N, S, C)`: batch size `N`, spatial size `S`, and `C` channels."
    },
    {
      "role": "bias",
      "dtype": "T",
      "rank": 1,
      "description": "1-D bias vector of length C, broadcast-added along the channel dimension."
    },
    {
      "role": "skip",
      "dtype": "T",
      "rank": 3,
      "description": "Residual tensor with the same `(N, S, C)` shape as `X`, added after the bias."
    }
  ],
  "outputs": [
    {
      "role": "Y",
      "dtype": "T",
      "rank": 3,
      "shape": "shapes.X",
      "description": "Output tensor of shape `(N, S, C)`: the elementwise sum `X + bias + skip`."
    }
  ],
  "typeConstraints": { "T": ["float32", "float16"] },
  "args": {
    "X": { "kind": "tensor", "semantic": "X", "role": "input" },
    "bias": { "kind": "tensor", "semantic": "bias", "role": "input" },
    "skip": { "kind": "tensor", "semantic": "skip", "role": "input" },
    "Y": { "kind": "tensor", "semantic": "Y", "role": "output" }
  },
  "tunables": { "WORKGROUP_SIZE": 256 },
  "constants": {
    "scalar": "dtypes.T",
    "usesF16": "dtypes.T == \"f16\"",
    "hidden": "dim(shapes.X, ranks.X - 1) if dim(shapes.X, ranks.X - 1) > 0 else 1"
  },
  "variants": [
    {
      "id": "vec4",
      "priority": 30,
      "when": ["ranks.X == 3", "ranks.skip == 3", "ranks.Y == 3", "sameShape(shapes.X, shapes.skip)", "sameShape(shapes.X, shapes.Y)", "f16Ok(dtypes.T)", "ranks.bias == 1", "dim(shapes.bias, 0) == dim(shapes.X, 2)", "numel(shapes.X) > 0", "numel(shapes.X) % 4 == 0", "dim(shapes.X, 2) % 4 == 0"],
      "constants": { "vec4": true, "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" },
      "passes": [
        {
          "id": "main",
          "name": "BiasAdd.vec4",
          "shader": "bias-add.wgsl.jinja",
          "bindings": [
            {
              "name": "x",
              "arg": "X",
              "semantic": "X",
              "buffer": { "type": "read-only-storage" },
              "elementType": "$scalar"
            },
            {
              "name": "bias",
              "arg": "bias",
              "semantic": "bias",
              "buffer": { "type": "read-only-storage" },
              "elementType": "$scalar",
              "length": "$hidden"
            },
            {
              "name": "skip",
              "arg": "skip",
              "semantic": "skip",
              "buffer": { "type": "read-only-storage" },
              "elementType": "$scalar"
            },
            {
              "name": "y",
              "arg": "Y",
              "semantic": "Y",
              "buffer": { "type": "storage" },
              "elementType": "$vectorScalar"
            },
            {
              "name": "params",
              "semantic": "kernel.params",
              "buffer": { "type": "uniform" },
              "struct": {
                "name": "Params",
                "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.X) / 4" }]
              }
            }
          ],
          "dispatch": { "threads": "numel(shapes.X) / 4", "workgroupSize": "tunables.WORKGROUP_SIZE" }
        }
      ]
    },
    {
      "id": "scalar",
      "priority": 0,
      "when": ["ranks.X == 3", "ranks.skip == 3", "ranks.Y == 3", "sameShape(shapes.X, shapes.skip)", "sameShape(shapes.X, shapes.Y)", "f16Ok(dtypes.T)", "ranks.bias == 1", "dim(shapes.bias, 0) == dim(shapes.X, 2)"],
      "constants": { "vec4": false },
      "passes": [
        {
          "id": "main",
          "name": "BiasAdd.scalar",
          "shader": "bias-add.wgsl.jinja",
          "source": { "inputs": { "itemsPerInvocation": 4 } },
          "bindings": [
            {
              "name": "x",
              "arg": "X",
              "semantic": "X",
              "buffer": { "type": "read-only-storage" },
              "elementType": "$scalar"
            },
            {
              "name": "bias",
              "arg": "bias",
              "semantic": "bias",
              "buffer": { "type": "read-only-storage" },
              "elementType": "$scalar"
            },
            {
              "name": "skip",
              "arg": "skip",
              "semantic": "skip",
              "buffer": { "type": "read-only-storage" },
              "elementType": "$scalar"
            },
            { "name": "y", "arg": "Y", "semantic": "Y", "buffer": { "type": "storage" }, "elementType": "$scalar" },
            {
              "name": "params",
              "semantic": "kernel.params",
              "buffer": { "type": "uniform" },
              "struct": { "name": "Params", "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.X)" }] }
            }
          ],
          "dispatch": { "threads": "ceilDiv(numel(shapes.X), 4)", "workgroupSize": "tunables.WORKGROUP_SIZE" }
        }
      ]
    }
  ]
}