ai.onnx.Round

ai.onnx · standard ONNX operator · ONNX opset ≥ 11

Description

Rounds each element of the input tensor to the nearest integer, with ties (halves) broken by rounding to the nearest even integer. Integral values, +0, -0, NaN, and infinities are returned unchanged; the output has the same shape and type as the input.

See the ONNX Round spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
X x T Input tensor whose elements are to be rounded. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
Y y T same as X same as X Output tensor with each element rounded to the nearest integer (ties rounded to the nearest even integer); same shape and type as the input. 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/ai.onnx.Round", { version: 1 });
const { y } = await kernel({ x: { data: xData, shape: [] } });
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Requires WebGPU support. See the compatibility table.