onnxruntime/js/web/lib/onnxjs/model.ts
Yulong Wang 7dcb805ab8
[js/web] upgrade onnx-proto version (#16722)
### Description
This change upgrades a lot of dependencies. There are 2 motivations of
doing this change:
- fix the security issue reported by dependabot (protobufjs Prototype
Pollution vulnerability -
https://github.com/advisories/GHSA-h755-8qp9-cq85)
 - resolve the requirement of using ONNX IR_VERSION 9 (#16638)


This requires:
- upgrade protobufjs to v7.2.4
- upgrade library 'onnx-proto' to consume latest ONNX release (v1.14.0).

Problems:
- protobufjs v7.2.4 depends on long.js v5, which does not work well with
typescript (commonjs).
- onnx-proto depends on this fix with a new release of long.js
- long.js is in maintenance and it takes longer than expected to put in
new changes

Solutions:
- use a patch script in `preprepare` to copy type declarations to make
long.js work with typescript (commonjs)
- generate onnx protobuf JS/TS files and put them under
js/web/lib/onnxjs/ort-schema/protobuf folder - remove 'onnx-proto' from
dependency.
- apply fixes to generated onnx.d.ts
2023-07-18 16:36:39 -07:00

72 lines
2.2 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {flatbuffers} from 'flatbuffers';
import {Graph} from './graph';
import {OpSet} from './opset';
import {onnxruntime} from './ort-schema/flatbuffers/ort-generated';
import {onnx} from './ort-schema/protobuf/onnx';
import {LongUtil} from './util';
import ortFbs = onnxruntime.experimental.fbs;
export class Model {
// empty model
constructor() {}
load(buf: Uint8Array, graphInitializer?: Graph.Initializer, isOrtFormat?: boolean): void {
if (!isOrtFormat) {
// isOrtFormat === false || isOrtFormat === undefined
try {
this.loadFromOnnxFormat(buf, graphInitializer);
return;
} catch (e) {
if (isOrtFormat !== undefined) {
throw e;
}
}
}
this.loadFromOrtFormat(buf, graphInitializer);
}
private loadFromOnnxFormat(buf: Uint8Array, graphInitializer?: Graph.Initializer): void {
const modelProto = onnx.ModelProto.decode(buf);
const irVersion = LongUtil.longToNumber(modelProto.irVersion);
if (irVersion < 3) {
throw new Error('only support ONNX model with IR_VERSION>=3');
}
this._opsets =
modelProto.opsetImport.map(i => ({domain: i.domain as string, version: LongUtil.longToNumber(i.version!)}));
this._graph = Graph.from(modelProto.graph!, graphInitializer);
}
private loadFromOrtFormat(buf: Uint8Array, graphInitializer?: Graph.Initializer): void {
const fb = new flatbuffers.ByteBuffer(buf);
const ortModel = ortFbs.InferenceSession.getRootAsInferenceSession(fb).model()!;
const irVersion = LongUtil.longToNumber(ortModel.irVersion());
if (irVersion < 3) {
throw new Error('only support ONNX model with IR_VERSION>=3');
}
this._opsets = [];
for (let i = 0; i < ortModel.opsetImportLength(); i++) {
const opsetId = ortModel.opsetImport(i)!;
this._opsets.push({domain: opsetId?.domain() as string, version: LongUtil.longToNumber(opsetId.version()!)});
}
this._graph = Graph.from(ortModel.graph()!, graphInitializer);
}
private _graph: Graph;
get graph(): Graph {
return this._graph;
}
private _opsets: OpSet[];
get opsets(): readonly OpSet[] {
return this._opsets;
}
}