ai.onnx.Constant
ai.onnx · standard ONNX operator · ONNX opset ≥ 24
Description
Produces a numeric constant from ONNX's tensor-valued value attribute or its float scalar/list shorthands. Sparse, string, and int64-only shorthand attributes are unsupported.
See the ONNX Constant spec for the reference semantics.
Outputs
| Name | Logical dtype | Rank | Shape | Description | Presence |
|---|---|---|---|---|---|
output |
T |
— | — | Output tensor containing the constant value(s) specified by the attribute. | required |
Attributes
Attributes and default values (overridable per request):
| Attribute | Default | Description |
|---|---|---|
value |
— | Tensor-valued constant represented as { dtype, shape, values }; dtype and shape must match the output contract and values supplies the tensor elements in row-major order. |
value_float |
— | A single float32 value producing a scalar tensor. |
value_floats |
— | Float32 values producing a one-dimensional tensor. |
Type constraints
| Variable | Allowed dtypes |
|---|---|
T |
float32, float16, int32, int16, uint32, int8, uint8, bool |
Files
metadata.json— kernel metadata (id, digests, per-variant templates, provenance)manifest.json— the op contract (source of truth)test.json— correctness casesbench.json— benchmark + tuning casesconstant.wgsl.jinja
Use with @huggingface/kernels
npm install --save-exact @huggingface/kernels@0.0.1-preview.2
Outputs with inferable metadata are allocated automatically. Explicit outputs entries request optional results or provide metadata that cannot be inferred from the supplied inputs and attributes.
This example supplies explicit metadata for:
output
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.
import { getKernel } from "@huggingface/kernels";
const kernel = await getKernel("webgpu-kernels/ai.onnx.Constant", { version: 1 });
// Explicit destinations request optional results or supply metadata that cannot be inferred.
const { output } = await kernel({}, {
attrs: { value_float: -2.5 },
outputs: { output: { shape: [], dtype: "float32" } },
});
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Requires WebGPU support. See the compatibility table.