@ai-on-browser/data-analysis-models/lib/model/nns/onnx/layer/flatten.js

Data analysis model package without any dependencies

import { onnx } from '../onnx_exporter.js'

/**
 * Handle flatten layer
 */
export default {
	/**
	 * Export to onnx object.
	 * @param {onnx.ModelProto} model Model object
	 * @param {import("../../graph").LayerObject & {type: 'flatten'}} obj Node object
	 * @param {{[key: string]: {type: onnx.TensorProto.DataType; size: number[]}}} info Output informatino of other layers
	 * @returns {{type: onnx.TensorProto.DataType; size: number[]}} Output information of this layer
	 */
	export(model, obj, info) {
		const input = Array.isArray(obj.input) ? obj.input[0] : obj.input
		const node = new onnx.NodeProto()
		node.setOpType('Flatten')
		node.addInput(input)
		node.addOutput(obj.name)

		const graph = model.getGraph()
		graph.addNode(node)

		const size = info[input].size
		return { size: [size[0], size.slice(1).reduce((p, v) => (v == null || p == null ? null : p * v), 1)] }
	},
}