| --- |
| library_name: kernels |
| license: apache-2.0 |
| tags: |
| - kernel |
| - webgpu |
| - wgsl |
| --- |
| # ai.onnx.Less |
|
|
| `ai.onnx` · standard ONNX operator · ONNX opset ≥ 13 |
|
|
| ## Description |
|
|
| Performs an elementwise `less-than` comparison between tensors `A` and `B` with NumPy-style multidirectional broadcasting, producing a boolean result tensor `C`. Each output element is `true` where the corresponding element of `A` is strictly less than that of `B`. |
|
|
| See the [ONNX `Less` spec](https://onnx.ai/onnx/operators/onnx__Less.html) for the reference semantics. |
|
|
| ## Inputs |
|
|
| | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | |
| | --- | --- | --- | --- | --- | --- | --- | |
| | `A` | `a` | `T` | — | — | First input operand for the less-than comparison. | required | |
| | `B` | `b` | `T` | — | — | Second input operand for the less-than comparison. | required | |
|
|
| ## Outputs |
|
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| | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | |
| | --- | --- | --- | --- | --- | --- | --- | |
| | `C` | `c` | `B` | derived | broadcast result of `A` and `B` | Boolean result tensor; true where A < B. | required | |
|
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| ## Type constraints |
|
|
| | Variable | Allowed dtypes | |
| | --- | --- | |
| | `T` | `float32`, `float16`, `int32`, `int16`, `uint32`, `int8`, `uint8` | |
| | `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 |
| - [`compare-broadcast-vec4.wgsl.jinja`](build/webgpu/compare-broadcast-vec4.wgsl.jinja) |
| - [`compare-broadcast.wgsl.jinja`](build/webgpu/compare-broadcast.wgsl.jinja) |
| - [`compare-vec4.wgsl.jinja`](build/webgpu/compare-vec4.wgsl.jinja) |
|
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| ## Use with `@huggingface/kernels` |
|
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| 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. |
|
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| The `version: 1` option selects the published kernel contract; it is independent of any operator opset, contrib `since_version`, or model version. |
|
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| 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.Less", { version: 1 }); |
| const { c } = await kernel({ a: { data: aData, shape: [] }, b: { data: bData, shape: [] } }); |
| ``` |
|
|
