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

Name Bind key Logical dtype Rank Shape Description Presence
A A T The main input tensor of any shape. required
B B T 1 1-D bias tensor whose length equals the last dimension of A. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
C C T same as A same as A Output tensor after applying GELU to A + B; same shape as A. required

Type constraints

Variable Allowed dtypes
T float32, float16

Files

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.

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] } });
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Requires WebGPU support. See the compatibility table.