ai.onnx.Ceil

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

Description

Applies the ceiling function elementwise: y = ceil(x), rounding each value up to the nearest integer. Integral values, ±0, NaN, and infinities are returned unchanged.

See the ONNX Ceil spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
X x T Floating-point values to round elementwise toward positive infinity. 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 up to the nearest integer. 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.Ceil", { version: 1 });
const { y } = await kernel({ x: { data: xData, shape: [] } });
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WebGPU

Requires WebGPU support. See the compatibility table.