ai.onnx.EyeLike

ai.onnx · standard ONNX operator · ONNX opset ≥ 22

Description

Generates a 2D identity-like matrix with ones on (or offset from) the main diagonal and zeros everywhere else. The output has the same shape as the 2D input tensor; the output dtype defaults to the input dtype but can be overridden. Attribute k shifts the populated diagonal: k=0 is the main diagonal, k>0 is upper, k<0 is lower.

See the ONNX EyeLike spec for the reference semantics.

Inputs

Outputs

Attributes

Attributes and default values (overridable per request):

Type constraints

Files

• metadata.json — kernel metadata (id, digests, per-variant templates, provenance)
• manifest.json — the op contract (source of truth)
• test.json — correctness cases
• bench.json — benchmark + tuning cases
• eyelike-clear-vec4.wgsl.jinja
• eyelike-diagonal.wgsl.jinja
• eyelike.wgsl.jinja

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.EyeLike", { version: 1 });
const { output } = await kernel({ input: { data: inputData, shape: [2, 2] } });