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

com.microsoft.BiasGelu

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

Description

Applies GELU to A + B, where the 1-D bias B is broadcast along the last dimension of A. This implementation supports float16 and float32; the schema's double and bfloat16 types are not implemented.

See the ONNX Runtime BiasGelu 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 + tuning cases
• elementwise-bias-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.BiasGelu", { version: 1 });
const { C } = await kernel({ A: { data: AData, shape: [3] }, B: { data: BData, shape: [3] } });