ai.onnx.Greater

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

Description

Performs elementwise A > B comparison with multidirectional (NumPy-style) broadcasting, producing a boolean result tensor. Each output element is true where the corresponding element of A is strictly greater than that of B, and false otherwise.

See the ONNX Greater spec for the reference semantics.

Inputs

Name Bind key Logical dtype Rank Shape Description Presence
A a T First input operand for the greater-than comparison. required
B b T Second input operand for the greater-than comparison. required

Outputs

Name Bind key Logical dtype Rank Shape Description Presence
C c B derived broadcast result of A and B Boolean result tensor; true where A > B elementwise. required

Type constraints

Variable Allowed dtypes
T float32, float16, int32, int16, uint32, int8, uint8
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.Greater", { version: 1 });
const { c } = await kernel({ a: { data: aData, shape: [4] }, b: { data: bData, shape: [4] } });
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Requires WebGPU support. See the compatibility table.