@ai-on-browser/data-analysis-models
Version:
Data analysis model package without any dependencies
35 lines (33 loc) • 1.09 kB
JavaScript
import { onnx } from '../onnx_importer.js'
import { loadAttribute, loadTensor } from '../utils.js'
/**
* Handle dropout operator
* @module HandleONNXDropoutOperator
* @see https://github.com/onnx/onnx/blob/main/docs/Operators.md#Dropout
*/
export default {
/**
* Import from onnx object.
* @param {onnx.ModelProto} model Model object
* @param {onnx.NodeProto} node Node object
* @returns {object[]} Objects represented a layer
*/
import(model, node) {
const attrs = {}
for (const attribute of node.getAttributeList()) {
attrs[attribute.getName()] = loadAttribute(attribute)
}
const inputList = node.getInputList()
const initializers = {}
for (const initializer of model.getGraph().getInitializerList()) {
if (initializer.getName() === inputList[1]) {
initializers.ratio = loadTensor(initializer)
} else if (initializer.getName() === inputList[2]) {
initializers.training_mode = loadTensor(initializer)
}
}
return [
{ type: 'dropout', input: [inputList[0]], name: node.getOutputList()[0], drop_rate: initializers.ratio },
]
},
}