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

Data analysis model package without any dependencies

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

/**
 * Handle nlrelu layer
 */
export default {
	/**
	 * Export to onnx object.
	 * @param {onnx.ModelProto} model Model object
	 * @param {import("../../graph").LayerObject & {type: 'nlrelu'}} obj Node object
	 */
	export(model, obj) {
		const tensor1 = getConstNodeName(model, 1)
		const tensor_beta = new onnx.TensorProto()
		tensor_beta.setName(obj.name + '_beta')
		tensor_beta.setDataType(onnx.TensorProto.DataType.FLOAT)
		tensor_beta.setDimsList([1])
		tensor_beta.setFloatDataList([obj.beta ?? 1])

		const input = Array.isArray(obj.input) ? obj.input[0] : obj.input
		const node_relu = new onnx.NodeProto()
		node_relu.setOpType('Relu')
		node_relu.addInput(input)
		node_relu.addOutput(obj.name + '_relu')

		const node_mul = new onnx.NodeProto()
		node_mul.setOpType('Mul')
		node_mul.addInput(obj.name + '_relu')
		node_mul.addInput(obj.name + '_beta')
		node_mul.addOutput(obj.name + '_mul')

		const node_add = new onnx.NodeProto()
		node_add.setOpType('Add')
		node_add.addInput(obj.name + '_mul')
		node_add.addInput(tensor1)
		node_add.addOutput(obj.name + '_add')

		const node_log = new onnx.NodeProto()
		node_log.setOpType('Log')
		node_log.addInput(obj.name + '_add')
		node_log.addOutput(obj.name)

		const graph = model.getGraph()
		graph.addInitializer(tensor_beta)
		graph.addNode(node_relu)
		graph.addNode(node_mul)
		graph.addNode(node_add)
		graph.addNode(node_log)
	},
}