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

Data analysis model package without any dependencies

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

/**
 * Handle gaussian layer
 */
export default {
	/**
	 * Export to onnx object.
	 * @param {onnx.ModelProto} model Model object
	 * @param {import("../../graph").LayerObject & {type: 'gaussian'}} obj Node object
	 */
	export(model, obj) {
		const tensor2 = getConstNodeName(model, 2)

		const input = Array.isArray(obj.input) ? obj.input[0] : obj.input
		const node_pow = new onnx.NodeProto()
		node_pow.setOpType('Pow')
		node_pow.addInput(input)
		node_pow.addInput(tensor2)
		node_pow.addOutput(obj.name + '_pow')

		const node_neg = new onnx.NodeProto()
		node_neg.setOpType('Neg')
		node_neg.addInput(obj.name + '_pow')
		node_neg.addOutput(obj.name + '_neg')

		const node_div = new onnx.NodeProto()
		node_div.setOpType('Div')
		node_div.addInput(obj.name + '_neg')
		node_div.addInput(tensor2)
		node_div.addOutput(obj.name + '_div')

		const node_exp = new onnx.NodeProto()
		node_exp.setOpType('Exp')
		node_exp.addInput(obj.name + '_div')
		node_exp.addOutput(obj.name)

		const graph = model.getGraph()
		graph.addNode(node_pow)
		graph.addNode(node_neg)
		graph.addNode(node_div)
		graph.addNode(node_exp)
	},
}