--- library_name: kernels license: apache-2.0 tags: - kernel - webgpu - wgsl --- # com.microsoft.FastGelu `com.microsoft` · ONNX Runtime contrib operator · contrib since_version 1 ## Description Applies the GELU (Gaussian Error Linear Unit) activation using a tanh approximation: `Y = 0.5 * X * (1 + tanh(0.797885 * X + 0.035677 * X^3))`. An optional `bias` is added to `X` before the activation is computed. This WebGPU package implements float16 and float32; the schema-allowed double and bfloat16 types are not supported. See the [ONNX Runtime `FastGelu` contrib-operator spec](https://github.com/microsoft/onnxruntime/blob/main/docs/ContribOperators.md#com.microsoft.FastGelu) for the reference semantics. ## Inputs | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | | --- | --- | --- | --- | --- | --- | --- | | `X` | `X` | `T` | — | — | Values transformed by FastGelu after adding the optional `bias`. | required | | `bias` | `bias` | `T` | `1` | — | Optional 1-D bias added to `X` along the last dimension before the GELU activation. | optional | ## Outputs | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | | --- | --- | --- | --- | --- | --- | --- | | `Y` | `Y` | `T` | same as `X` | same as `X` | Output tensor after applying the GELU activation; same shape as `X`. | required | ## Type constraints | Variable | Allowed dtypes | | --- | --- | | `T` | `float32`, `float16` | ## Files - [`metadata.json`](build/webgpu/metadata.json) — kernel metadata (id, digests, 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 + tuning cases - [`elementwise-bias-gelu.wgsl.jinja`](build/webgpu/elementwise-bias-gelu.wgsl.jinja) ## Use with `@huggingface/kernels` The loader derives every required output's shape and logical dtype from the manifest contract and this call. It then allocates the result tensors automatically. The `version: 1` option selects the published kernel contract; it is independent of any operator opset, contrib `since_version`, or model 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.FastGelu", { version: 1 }); const { Y } = await kernel({ X: { data: XData, shape: [5] } }); ```