ai.onnx.Where

ai.onnx · standard ONNX operator · ONNX opset ≥ 16

Description

Selects elements from X or Y according to a boolean condition, following NumPy-style multidirectional broadcasting. Where condition is true, the output takes the value from X; otherwise it takes the value from Y.

See the ONNX Where spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
condition condition C Boolean mask; nonzero entries select from X, zero entries select from Y. required
X x T Values selected at indices where condition is true. required
Y y T Values selected at indices where condition is false. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
output output T derived broadcast result of condition, X, and Y Tensor of shape equal to the broadcasted shape of condition, X, and Y. required

Type constraints

Variable Allowed dtypes
C bool
T float32, float16, uint32, int32, int16, uint8, int8, 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.Where", { version: 1 });
const { output } = await kernel({
  condition: { data: conditionData, shape: [] },
  x: { data: xData, shape: [] },
  y: { data: yData, shape: [] },
});
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Requires WebGPU support. See the compatibility table.