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| library_name: kernels | |
| license: apache-2.0 | |
| tags: | |
| - kernel | |
| - webgpu | |
| - wgsl | |
| # com.microsoft.GatedAdd | |
| `com.microsoft` · ONNX Runtime contrib operator · contrib since_version 1 | |
| ## Description | |
| Adds `Y`, scaled by a per-row `gate`, to `X`: `output = X + round_to_T(Y * gate)`. `X` and `Y` have shape `(..., C)`; `gate` has the same rank with a trailing dimension of 1, so one value covers each row of `C` channels. Rounding the product to `T` before the addition preserves the semantics of a separate `Mul` followed by `Add`. Bfloat16 is not implemented. | |
| See the [ONNX Runtime `GatedAdd` contrib-operator spec](https://github.com/microsoft/onnxruntime/blob/main/docs/ContribOperators.md#com.microsoft.GatedAdd) for the reference semantics. | |
| ## Inputs | |
| | Name | Logical dtype | Rank | Shape | Description | Presence | | |
| | --- | --- | --- | --- | --- | --- | | |
| | `X` | `T` | — | — | Unscaled input with shape `(..., C)`. Any rank of at least 1 is accepted; only the trailing channel axis is distinguished. | required | | |
| | `Y` | `T` | — | — | Input scaled by the gate, with the same shape as `X`. | required | | |
| | `gate` | `T` | — | — | Per-row gate with shape `(..., 1)`: the same rank and leading dimensions as `X`, with a trailing dimension of 1 that broadcasts over the `C` channels. | required | | |
| ## Outputs | |
| | Name | Logical dtype | Rank | Shape | Description | Presence | | |
| | --- | --- | --- | --- | --- | --- | | |
| | `output` | `T` | same as `X` | same as `X` | Gated sum `X + round_to_T(Y * gate)`, with the same shape as `X`. | required | | |
| ## Type constraints | |
| | Variable | Allowed dtypes | | |
| | --- | --- | | |
| | `T` | `float32`, `float16` | | |
| ## Files | |
| - [`metadata.json`](build/webgpu/metadata.json) — kernel metadata (id, digests, per-variant templates, provenance) | |
| - [`manifest.json`](build/webgpu/manifest.json) — the op contract (source of truth) | |
| - [`test.json`](build/webgpu/test.json) — correctness cases | |
| - [`bench.json`](build/webgpu/bench.json) — benchmark cases | |
| - [`gated-add.wgsl.jinja`](build/webgpu/gated-add.wgsl.jinja) | |
| ## Use with `@huggingface/kernels` | |
| ```sh | |
| npm install --save-exact @huggingface/kernels@0.0.1-preview.3 | |
| ``` | |
| Required output shapes and logical data types are inferred from the supplied inputs and attributes; result tensors are allocated automatically. | |
| The `version: 1` option selects the published kernel contract; it is independent of any operator opset, contrib `since_version`, or model version. | |
| It follows the `v1` branch as fixes land. To pin exact artifact bytes, pass a 40-character commit `revision` instead of `version`. | |
| Replace each `*Data` placeholder with a typed array containing the corresponding input data. | |
| ```js | |
| import { getKernel } from "@huggingface/kernels"; | |
| const kernel = await getKernel("webgpu-kernels/com.microsoft.GatedAdd", { version: 1 }); | |
| const { output } = await kernel({ | |
| X: { data: XData, shape: [2, 3] }, | |
| Y: { data: YData, shape: [2, 3] }, | |
| gate: { data: gateData, shape: [2, 1] }, | |
| }); | |
| ``` | |