ai.onnx.Sign

ai.onnx · standard ONNX operator · ONNX opset ≥ 13

Description

Computes the elementwise sign of the input tensor: outputs 1 for positive values, -1 for negative values, and 0 where the input is zero. The output has the same shape and type as the input.

See the ONNX Sign spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
input input T Input tensor of any numeric type. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
output output T same as input same as input Elementwise sign of the input; same shape and type as the input. required

Type constraints

Variable Allowed dtypes
T float32, float16, int32, uint32, int16, int8, uint8

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/ai.onnx.Sign", { version: 1 });
const { output } = await kernel({ input: { data: inputData, shape: [] } });
Downloads last month
-
kernel
webgpu
wgsl
apache-2.0
WebGPU

Requires WebGPU support. See the compatibility table.