onnxruntime/js/web/lib/wasm/session-handler-for-training.ts
Caroline Zhu 64de71c5e2
[js/web/training] Add CreateTrainingSession (#17891)
### Description
* Adds TrainingSession.create() functionality following the web bindings
for training design doc
* Added 2 new training APIs to wasm/api.h:
   * OrtTrainingGetInputOutputName
   * OrtTrainingGetInputOutputCount
* Moved isOrtEnvInitialized boolean to the wasm-core-impl and added a
method that references it

### Motivation and Context
* Adding web bindings for training

#### Related work
* #16521 allowed for training artifacts to be built
* #17333 added interfaces for training
* #17474 allows for training package to be built + adds training backend
to web package **[MUST BE MERGED IN BEFORE THIS ONE]**

---------

Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com>
Co-authored-by: Ashwini Khade <askhade@microsoft.com>
2023-10-26 09:22:10 -07:00

73 lines
3 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {env, InferenceSession, SessionHandler, TrainingSessionHandler} from 'onnxruntime-common';
import {SerializableModeldata} from './proxy-messages';
import {createSessionAllocate, initRuntime, isOrtEnvInitialized} from './wasm-core-impl';
import {createCheckpointHandle, createTrainingSessionHandle, releaseTrainingSessionAndCheckpoint} from './wasm-training-core-impl';
export class OnnxruntimeWebAssemblyTrainingSessionHandler implements TrainingSessionHandler {
async loadParametersBuffer(_array: Uint8Array, _trainableOnly: boolean): Promise<void> {
throw new Error('Method not implemented.');
}
async getContiguousParameters(_trainableOnly: boolean): Promise<Uint8Array> {
throw new Error('Method not implemented.');
}
private sessionId: number;
private checkpointId: number;
inputNames: string[];
outputNames: string[];
inputEncodedNames: number[];
outputEncodedNames: number[];
async uriOrBufferToHeap(uriOrBuffer: string|Uint8Array): Promise<SerializableModeldata> {
let buffer: Uint8Array;
if (typeof uriOrBuffer === 'string') {
const response = await fetch(uriOrBuffer);
const arrayBuffer = await response.arrayBuffer();
buffer = new Uint8Array(arrayBuffer);
} else {
buffer = uriOrBuffer;
}
return createSessionAllocate(buffer);
}
async createTrainingSession(
checkpointStateUriOrBuffer: string|Uint8Array, trainModelUriOrBuffer: string|Uint8Array,
evalModelUriOrBuffer: string|Uint8Array, optimizerModelUriOrBuffer: string|Uint8Array,
options: InferenceSession.SessionOptions) {
if (!isOrtEnvInitialized()) {
await initRuntime(env);
}
const checkpointData: SerializableModeldata = await this.uriOrBufferToHeap(checkpointStateUriOrBuffer);
const trainModelData: SerializableModeldata = await this.uriOrBufferToHeap(trainModelUriOrBuffer);
// 0 is supposed to be the nullptr
let evalModelData: SerializableModeldata = [0, 0];
let optimizerModelData: SerializableModeldata = [0, 0];
if (evalModelUriOrBuffer !== '') {
evalModelData = await this.uriOrBufferToHeap(evalModelUriOrBuffer);
}
if (optimizerModelUriOrBuffer !== '') {
optimizerModelData = await this.uriOrBufferToHeap(optimizerModelUriOrBuffer);
}
this.checkpointId = createCheckpointHandle(checkpointData);
[[this.sessionId, this.inputNames, this.outputNames], this.inputEncodedNames, this.outputEncodedNames] =
createTrainingSessionHandle(this.checkpointId, trainModelData, evalModelData, optimizerModelData, options);
}
async dispose(): Promise<void> {
return releaseTrainingSessionAndCheckpoint(
this.checkpointId, this.sessionId, this.inputEncodedNames, this.outputEncodedNames);
}
async runTrainStep(
_feeds: SessionHandler.FeedsType, _fetches: SessionHandler.FetchesType,
_options: InferenceSession.RunOptions): Promise<SessionHandler.ReturnType> {
throw new Error('Method not implemented yet.');
}
}