| --- |
| library_name: kernels |
| license: apache-2.0 |
| tags: |
| - kernel |
| - webgpu |
| - wgsl |
| --- |
| # ai.onnx.IsInf |
|
|
| `ai.onnx` · standard ONNX operator · ONNX opset ≥ 20 |
|
|
| ## Description |
|
|
| Maps each element of a floating-point tensor to `true` if it is infinite and `false` otherwise. The `detect_negative` and `detect_positive` attributes independently control whether negative and positive infinity are considered infinite for this mapping. |
|
|
| See the [ONNX `IsInf` spec](https://onnx.ai/onnx/operators/onnx__IsInf.html) for the reference semantics. |
|
|
| ## Inputs |
|
|
| | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | |
| | --- | --- | --- | --- | --- | --- | --- | |
| | `X` | `x` | `T` | — | — | Input floating-point tensor. | required | |
|
|
| ## Outputs |
|
|
| | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | |
| | --- | --- | --- | --- | --- | --- | --- | |
| | `Y` | `y` | `B` | same as `X` | same as `X` | Boolean output tensor with the same shape as the input; `true` where the input is infinite. | required | |
|
|
| ## Attributes |
|
|
| Default values (overridable per request): |
|
|
| | Attribute | Default | Description | |
| | --- | --- | --- | |
| | `detect_negative` | `1` | When 1 (default), negative infinity maps to true; set to 0 to map negative infinity to false. | |
| | `detect_positive` | `1` | When 1 (default), positive infinity maps to true; set to 0 to map positive infinity to false. | |
|
|
| ## Type constraints |
|
|
| | Variable | Allowed dtypes | |
| | --- | --- | |
| | `T` | `float32`, `float16` | |
| | `B` | `bool` | |
|
|
| ## Files |
|
|
| - [`metadata.json`](build/webgpu/metadata.json) — kernel metadata (id, digests, provenance) |
| - [`manifest.json`](build/webgpu/manifest.json) — the op contract (source of truth) |
| - [`test.json`](build/webgpu/test.json) — correctness cases |
| - [`bench.json`](build/webgpu/bench.json) — benchmark + tuning cases |
| - [`detect-neither.wgsl.jinja`](build/webgpu/detect-neither.wgsl.jinja) |
| - [`unary-scalar.wgsl.jinja`](build/webgpu/unary-scalar.wgsl.jinja) |
| - [`unary-vec4.wgsl.jinja`](build/webgpu/unary-vec4.wgsl.jinja) |
|
|
| ## 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. |
|
|
| ```js |
| import { getKernel } from "@huggingface/kernels"; |
| |
| const kernel = await getKernel("webgpu-kernels/ai.onnx.IsInf", { version: 1 }); |
| const { y } = await kernel({ x: { data: xData, shape: [] } }); |
| ``` |
|
|
