onnxruntime/js/common/lib/backend.ts
Caroline Zhu c02a386145
[js/web/training] Implemented runEvalStep & runOptimizerStep (#18259)
### Description
* implemented runEvalStep and runOptimizerStep
* added hasEvalModel and hasOptimizerModel boolean fields in
TrainingSession representation
* added evalInputNames and evalOutputNames fields to
TrainingSessionHandler & TrainingSession
* removed the inputNamesEncoded and outputNamesEncoded fields from
TrainingSessionHandler -- since none of the training methods require the
input names and output names as parameters, there's no need to store
them.

### Motivation and Context
* part of the work for implementing web bindings for training
* previous PR: #18250

---------

Co-authored-by: Ashwini Khade <askhade@microsoft.com>
2023-12-04 13:37:14 -08:00

84 lines
2.6 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {InferenceSession} from './inference-session.js';
import {OnnxValue} from './onnx-value.js';
import {TrainingSession} from './training-session.js';
/**
* @ignore
*/
export declare namespace SessionHandler {
type FeedsType = {[name: string]: OnnxValue};
type FetchesType = {[name: string]: OnnxValue | null};
type ReturnType = {[name: string]: OnnxValue};
}
/**
* Represents shared SessionHandler functionality
*
* @ignore
*/
interface SessionHandler {
dispose(): Promise<void>;
readonly inputNames: readonly string[];
readonly outputNames: readonly string[];
}
/**
* Represent a handler instance of an inference session.
*
* @ignore
*/
export interface InferenceSessionHandler extends SessionHandler {
startProfiling(): void;
endProfiling(): void;
run(feeds: SessionHandler.FeedsType, fetches: SessionHandler.FetchesType,
options: InferenceSession.RunOptions): Promise<SessionHandler.ReturnType>;
}
/**
* Represent a handler instance of a training inference session.
*
* @ignore
*/
export interface TrainingSessionHandler extends SessionHandler {
readonly evalInputNames: readonly string[];
readonly evalOutputNames: readonly string[];
runTrainStep(
feeds: SessionHandler.FeedsType, fetches: SessionHandler.FetchesType,
options: InferenceSession.RunOptions): Promise<SessionHandler.ReturnType>;
runOptimizerStep(options: InferenceSession.RunOptions): Promise<void>;
runEvalStep(
feeds: SessionHandler.FeedsType, fetches: SessionHandler.FetchesType,
options: InferenceSession.RunOptions): Promise<SessionHandler.ReturnType>;
getParametersSize(trainableOnly: boolean): Promise<number>;
loadParametersBuffer(array: Uint8Array, trainableOnly: boolean): Promise<void>;
getContiguousParameters(trainableOnly: boolean): Promise<OnnxValue>;
}
/**
* Represent a backend that provides implementation of model inferencing.
*
* @ignore
*/
export interface Backend {
/**
* Initialize the backend asynchronously. Should throw when failed.
*/
init(): Promise<void>;
createInferenceSessionHandler(uriOrBuffer: string|Uint8Array, options?: InferenceSession.SessionOptions):
Promise<InferenceSessionHandler>;
createTrainingSessionHandler?
(checkpointStateUriOrBuffer: TrainingSession.URIorBuffer, trainModelUriOrBuffer: TrainingSession.URIorBuffer,
evalModelUriOrBuffer: TrainingSession.URIorBuffer, optimizerModelUriOrBuffer: TrainingSession.URIorBuffer,
options: InferenceSession.SessionOptions): Promise<TrainingSessionHandler>;
}
export {registerBackend} from './backend-impl.js';