ai.onnx.IsNaN

ai.onnx · standard ONNX operator · ONNX opset ≥ 20

Description

Returns a boolean mask indicating which elements of X are NaN. Y has the same shape, with true where the corresponding input value is NaN and false elsewhere.

See the ONNX IsNaN spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
X x T Input floating-point tensor to test for NaN values. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
Y y B same as X same as X Boolean output tensor with the same shape as X; true where the input element is NaN. required

Type constraints

Variable Allowed dtypes
T float32, float16
B bool

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.IsNaN", { version: 1 });
const { y } = await kernel({ x: { data: xData, shape: [] } });
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Requires WebGPU support. See the compatibility table.