com.microsoft.QuickGelu

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

Description

Computes x * sigmoid(alpha * x) elementwise, a fast approximation of GELU activation. The output has the same shape as the input. This WebGPU package implements float16 and float32; the schema-allowed double and bfloat16 types are not supported.

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

Inputs

Outputs

Attributes

Default values (overridable per request):

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 + tuning cases
• quick-gelu.wgsl.jinja

Use with @huggingface/kernels

npm install --save-exact @huggingface/kernels@0.0.1-preview.2

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.QuickGelu", { version: 1 });
const { Y } = await kernel({ X: { data: XData, shape: [2, 4] } });