| --- |
| library_name: kernels |
| license: apache-2.0 |
| tags: |
| - kernel |
| - webgpu |
| - wgsl |
| --- |
| # com.microsoft.CausalConvWithState |
|
|
| `com.microsoft` · ONNX Runtime contrib operator · contrib since_version 1 |
| |
| ## Description |
| |
| Legacy Microsoft contrib form of stateful 1-D causal depthwise convolution. Each channel uses its own `(channels, 1, kernel)` weight over current and past positions, with optional activation and `past_state`/`present_state` tensors for incremental decoding. The contrib-only `state_window` attribute may retain several rollback states. This inference implementation preserves the existing contrib ABI with `ndim = 1`, float16 or float32 tensors, and float32 accumulation; spatial ranks 2 and 3 and bfloat16 are not implemented. |
|
|
| See the [ONNX Runtime `CausalConvWithState` contrib-operator spec](https://github.com/microsoft/onnxruntime/blob/main/docs/ContribOperators.md#com.microsoft.CausalConvWithState) for the reference semantics. |
|
|
| ## Inputs |
|
|
| | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | |
| | --- | --- | --- | --- | --- | --- | --- | |
| | `input` | `inputT` | `T` | `3` | — | Channels-first input tensor with shape `(batch_size, channels, sequence_length)` for the supported 1-D mode. | required | |
| | `weight` | `weightT` | `T` | `3` | — | Depthwise convolution kernel with shape `(channels, 1, kernel_size)` for the supported 1-D mode. | required | |
| | `bias` | `biasT` | `T` | `1` | — | Optional per-channel bias with shape `(channels,)`. | optional | |
| | `past_state` | `pastStateT` | `T` | derived | — | Carry state from the previous step; shape `(batch_size, channels, k_1 - 1)`, or `(W, batch_size, channels, k_1 - 1)` when `state_window = W > 0`, in which case only slot `W - 1` is read. If absent, the left-side padding is zero. | optional | |
|
|
| ## Outputs |
|
|
| | Name | Bind key | Logical dtype | Rank | Shape | Description | Presence | |
| | --- | --- | --- | --- | --- | --- | --- | |
| | `output` | `outputT` | `T` | `3` | same as `input` | Convolution output with the same shape as `input`. | required | |
| | `present_state` | `presentStateT` | `T` | derived | derived; see description | Updated carry state; shape `(batch_size, channels, k_1 - 1)`, or `(W, batch_size, channels, k_1 - 1)` when `state_window = W > 0`. Slot `W - 1` holds the last `k - 1` values along the causal axis; slot `j` holds the same for the prefix ending at position `seq_len - W + j`. | required | |
|
|
| ## Attributes |
|
|
| Default values (overridable per request): |
|
|
| | Attribute | Default | Description | |
| | --- | --- | --- | |
| | `activation` | `"none"` | Activation applied after convolution and bias. Defaults to `none`; `swish` is an alias of SiLU. | |
| | `ndim` | `1` | Number of spatial dimensions. This implementation supports the contrib 1D mode (`ndim = 1`). | |
| | `state_window` | `0` | Contrib extension selecting the number of rollback state slots to retain, in the range 0 through 8. Defaults to 0. | |
|
|
| ## Type constraints |
|
|
| | Variable | Allowed dtypes | |
| | --- | --- | |
| | `T` | `float32`, `float16` | |
|
|
| ## 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 |
| - [`causal-conv-with-state-tiled.wgsl.jinja`](build/webgpu/causal-conv-with-state-tiled.wgsl.jinja) |
| - [`causal-conv-with-state-vec4.wgsl.jinja`](build/webgpu/causal-conv-with-state-vec4.wgsl.jinja) |
| - [`causal-conv-with-state.wgsl.jinja`](build/webgpu/causal-conv-with-state.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/com.microsoft.CausalConvWithState", { version: 1 }); |
| const { outputT, presentStateT } = await kernel({ |
| inputT: { data: inputTData, shape: [1, 1, 5] }, |
| weightT: { data: weightTData, shape: [1, 1, 4] }, |
| }); |
| ``` |
|
|
