library_name: kernels
license: apache-2.0
tags:
  - kernel
  - webgpu
  - wgsl

com.microsoft.Gelu

com.microsoft · ONNX Runtime contrib operator · contrib since_version 1

Description

Applies the Gaussian Error Linear Unit (GELU) activation elementwise: Y = 0.5 * X * (1 + erf(X / sqrt(2))). The output has the same shape as the input. Float16 and float32 are supported; the schema's double and bfloat16 types are not.

See the ONNX Runtime Gelu contrib-operator spec for the reference semantics.

Inputs

Outputs

Type constraints

Files

• metadata.json — kernel metadata (id, digests, per-variant templates, provenance)
• manifest.json — the op contract (source of truth)
• test.json — correctness cases
• bench.json — benchmark cases
• elementwise-bias-gelu.wgsl.jinja

Use with @huggingface/kernels

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.

import { getKernel } from "@huggingface/kernels";

const kernel = await getKernel("webgpu-kernels/com.microsoft.Gelu", { version: 1 });
const { Y } = await kernel({ X: { data: XData, shape: [5] } });