How to use the roots function from protobufjs

uff.js

GitHub: bahree/netron

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let meta_graph = null;
const identifier = context.identifier;
const extension = identifier.split('.').pop().toLowerCase();
if (extension === 'pbtxt' || identifier.toLowerCase().endsWith('.uff.txt')) {
    try {
        uff.proto = protobuf.roots.uff.uff;
        const reader = prototxt.TextReader.create(context.text);
        const field = reader.field;
        reader.field = (token, module) => {
            if (token === 'descriptors' || token === 'graphs' || token == 'referenced_data') {

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+ 3 other calls in file

paddle.js

GitHub: sundawei/netron

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    return;
}
var desc = null;
var identifier = context.identifier; 
try {
    paddle.proto = protobuf.roots.paddle.paddle.framework.proto;
    desc = paddle.proto.ProgramDesc.decode(context.buffer);
}
catch (error) {
    callback(new paddle.Error("File format is not paddle.ProgramDesc (" + error.message + ") in '" + identifier + "'."), null);

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tf.js

GitHub: maniacs-oss/netron

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host.require('./tf-proto', (err) => {
    if (err) {
        callback(err, null);
        return;
    }
    tf.proto = protobuf.roots.tf.tensorflow;
    var graph = null;
    var metaGraph = null;
    var savedModel = null;
    var format = null;

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caffe.js

GitHub: simonleungbit/netron

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host.require('./caffe-proto', (err) => {
    if (err) {
        callback(err, null);
        return;
    }
    caffe.proto = protobuf.roots.caffe.caffe;
    caffe.Metadata.open(host, (err, metadata) => {
        var extension = context.identifier.split('.').pop();
        if (extension == 'pbtxt' || extension == 'prototxt') {
            var tags = context.tags('pbtxt');

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caffe2.js

GitHub: divideconcept/netron

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if (extension == 'pbtxt' || extension == 'prototxt') {
    const open_text = (predict, init) => {
        let predict_net = null;
        let init_net = null;
        try {
            caffe2.proto = protobuf.roots.caffe2.caffe2;
            const reader = prototxt.TextReader.create(predict);
            reader.field = function(tag, message) {
                if (message instanceof caffe2.proto.DeviceOption) {
                    message[tag] = this.skip();

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+ 7 other calls in file

onnx.js

GitHub: Beesitech/netron

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var model = null;
var identifier = context.identifier; 
var extension = identifier.split('.').pop().toLowerCase();
if (extension == 'pbtxt' || extension == 'prototxt') {
    try {
        onnx.proto = protobuf.roots.onnx.onnx;
        model = onnx.proto.ModelProto.decodeText(context.text);
    }
    catch (error) {
        host.exception(error, false);

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+ 3 other calls in file

coreml.js

GitHub: ibelem/netron

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open(context, host) { 
    return host.require('./coreml-proto').then(() => {
        var identifier = context.identifier;
        var decodedBuffer = null;
        try {
            coreml.proto = protobuf.roots.coreml.CoreML.Specification;
            decodedBuffer = coreml.proto.Model.decode(context.buffer);
        }
        catch (error) {
            throw new coreml.Error("File format is not coreml.Model (" + error.message + ") in '" + identifier + "'.");

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bigdl.js

GitHub: jiapei100/netron

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return host.require('./bigdl-proto').then(() => {
    return bigdl.Metadata.open(host).then((metadata) => {
        const identifier = context.identifier;
        try {
            // https://github.com/intel-analytics/BigDL/blob/master/spark/dl/src/main/resources/serialization/bigdl.proto
            bigdl.proto = protobuf.roots.bigdl.com.intel.analytics.bigdl.serialization;
            let module = bigdl.proto.BigDLModule.decode(context.buffer);
            return new bigdl.Model(metadata, module);
        }
        catch (error) {

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