@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
39 lines (34 loc) • 1.03 kB
JavaScript
import { onnx } from '../onnx_exporter.js'
import { getConstNodeName } from '../utils.js'
/**
* Handle reu layer
*/
export default {
/**
* Export to onnx object.
* @param {onnx.ModelProto} model Model object
* @param {import("../../graph").LayerObject & {type: 'reu'}} obj Node object
*/
export(model, obj) {
const tensor1 = getConstNodeName(model, 1)
const input = Array.isArray(obj.input) ? obj.input[0] : obj.input
const node_exp = new onnx.NodeProto()
node_exp.setOpType('Exp')
node_exp.addInput(input)
node_exp.addOutput(`${obj.name}_exp`)
const node_min = new onnx.NodeProto()
node_min.setOpType('Min')
node_min.addInput(tensor1)
node_min.addInput(`${obj.name}_exp`)
node_min.addOutput(`${obj.name}_min`)
const node_mul = new onnx.NodeProto()
node_mul.setOpType('Mul')
node_mul.addInput(input)
node_mul.addInput(`${obj.name}_min`)
node_mul.addOutput(obj.name)
const graph = model.getGraph()
graph.addNode(node_exp)
graph.addNode(node_min)
graph.addNode(node_mul)
},
}