ai.onnx.Flatten

ai.onnx · standard ONNX operator · ONNX opset ≥ 13

Description

Flattens the input tensor into a 2-D matrix by splitting its dimensions at axis: dimensions before axis are collapsed into the first output dimension, and dimensions from axis onward into the second. For input shape (d_0, ..., d_n), the output shape is (d_0 * ... * d_{axis-1}, d_axis * ... * d_n).

See the ONNX Flatten spec for the reference semantics.

Inputs

Outputs

Attributes

Default values (overridable per request):

Type constraints

Files

• metadata.json — kernel metadata (id, digests, provenance)
• manifest.json — the op contract (source of truth)
• test.json — correctness cases
• bench.json — benchmark + tuning cases
• datamove-elementwise-copy.wgsl.jinja
• datamove-flat-copy.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.

import { getKernel } from "@huggingface/kernels";

const kernel = await getKernel("webgpu-kernels/ai.onnx.Flatten", { version: 1 });
const { output } = await kernel({ input: { data: inputData, shape: [2, 1] } });