ai.onnx.LessOrEqual

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

Description

Performs elementwise A <= B comparison with multidirectional (NumPy-style) broadcasting. Returns a boolean tensor where each element is true if the corresponding element of A is less than or equal to the corresponding element of B.

See the ONNX LessOrEqual spec for the reference semantics.

Inputs

Name Upstream name Logical dtype Rank Shape Description Presence
a A T First input operand for the less-or-equal comparison. required
b B T Second input operand for the less-or-equal comparison. required

Outputs

Name Upstream name Logical dtype Rank Shape Description Presence
c C B derived broadcast result of a and b Boolean result tensor; true where A <= B, broadcast to the output shape. required

Type constraints

Variable Allowed dtypes
T float32, float16, int32, int16, uint32, int8, uint8
B bool

Files

Use with @huggingface/kernels

npm install --save-exact @huggingface/kernels@0.0.1-preview.2

Required output shapes and logical data types are inferred from the supplied inputs and attributes; result tensors are allocated automatically.

The version: 1 option selects the published kernel contract; it is independent of any operator opset, contrib since_version, or model version. It follows the v1 branch as fixes land. To pin exact artifact bytes, pass a 40-character commit revision instead of 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.LessOrEqual", { version: 1 });
const { c } = await kernel({ a: { data: aData, shape: [] }, b: { data: bData, shape: [] } });
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Requires WebGPU support. See the compatibility table.