ai.onnx.SplitToSequence

ai.onnx · internal tensor lowering (non-standard) · reviewed against ONNX opset 11

Description

Internal fixed-output split lowering that returns two, three, four, or six tensors with invocation-supplied shapes. It does not construct an ONNX sequence value.

See the standard ONNX SplitToSequence spec for the contract this internal lowering does not implement.

Inputs

Name	Logical dtype	Rank	Shape	Description	Presence
`input`	`T`	—	—	The tensor to split.	required
`split`	`S`	—	—	Length of each output slice: a scalar for uniform chunks or a 1-D tensor of per-output lengths.	optional

Outputs

Name	Upstream name	Logical dtype	Rank	Shape	Description	Presence
`y0`	`Y0`	`T`	derived	—	First output tensor slice.	required
`y1`	`Y1`	`T`	derived	—	Second output tensor slice.	required
`y2`	`Y2`	`T`	derived	—	Third output tensor slice.	optional
`y3`	`Y3`	`T`	derived	—	Fourth output tensor slice.	optional
`y4`	`Y4`	`T`	derived	—	Fifth output tensor slice.	optional
`y5`	`Y5`	`T`	derived	—	Sixth output tensor slice.	optional

Attributes

Default values (overridable per request):

Attribute	Default	Description
`axis`	`0`	Axis along which to split; negative values count from the back. Accepted range is `[-rank, rank-1]`.
`keepdims`	`1`	Whether to keep the split dimension in the output (default `1`). Ignored when `split` is provided.

Type constraints

Variable	Allowed dtypes
`T`	`float32`, `float16`, `bool`
`S`	`uint32`

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
split-to-sequence.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:

y0
y1

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.SplitToSequence", { version: 1 });
// Explicit destinations request optional results or supply metadata that cannot be inferred.
const { y0, y1 } = await kernel({ input: { data: inputData, shape: [3, 2] } }, {
  outputs: {
    y0: { shape: [1, 2], dtype: "float32" },
    y1: { shape: [1, 2], dtype: "float32" },
  },
});

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kernel

webgpu

wgsl

apache-2.0

WebGPU

Requires WebGPU support. See the compatibility table.