ai.onnx.CastLike

ai.onnx · standard ONNX operator · ONNX opset ≥ 25

Description

Casts every element of input to the same dtype as target_type, producing an output with the same shape as input. The target_type tensor itself is used only for its dtype and is not read elementwise.

See the ONNX CastLike spec for the reference semantics.

Inputs

Outputs

Attributes

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
• cast-scalar-x4.wgsl.jinja
• unary-scalar.wgsl.jinja
• unary-vec4.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.CastLike", { version: 1 });
const { y } = await kernel({ x: { data: xData, shape: [] }, target: { data: targetData, shape: [3] } });