[js/web/training] Add CreateTrainingSession

js/common/lib/training-session-impl.ts

@@ -1,11 +1,14 @@
 // Copyright (c) Microsoft Corporation. All rights reserved.
 // Licensed under the MIT License.
 
+import {resolveBackend} from './backend-impl.js';
 import {TrainingSessionHandler} from './backend.js';
 import {InferenceSession as InferenceSession} from './inference-session.js';
 import {TrainingSession as TrainingSessionInterface, TrainingSessionCreateOptions} from './training-session.js';
 
 type SessionOptions = InferenceSession.SessionOptions;
+const noBackendErrMsg: string = 'Training backend could not be resolved. ' +
+    'Make sure you\'re using the correct configuration & WebAssembly files.';
 
 export class TrainingSession implements TrainingSessionInterface {
   private constructor(handler: TrainingSessionHandler) {
@@ -20,9 +23,23 @@ export class TrainingSession implements TrainingSessionInterface {
     return this.handler.outputNames;
   }
 
-  static async create(_trainingOptions: TrainingSessionCreateOptions, _sessionOptions?: SessionOptions):
+  static async create(trainingOptions: TrainingSessionCreateOptions, sessionOptions?: SessionOptions):
       Promise<TrainingSession> {
-    throw new Error('Method not implemented');
+    const evalModel: string|Uint8Array = trainingOptions.evalModel || '';
+    const optimizerModel: string|Uint8Array = trainingOptions.optimizerModel || '';
+    const options: SessionOptions = sessionOptions || {};
+
+    // get backend hints
+    const eps = options.executionProviders || [];
+    const backendHints = eps.map(i => typeof i === 'string' ? i : i.name);
+    const backend = await resolveBackend(backendHints);
+    if (backend.createTrainingSessionHandler) {
+      const handler = await backend.createTrainingSessionHandler(
+          trainingOptions.checkpointState, trainingOptions.trainModel, evalModel, optimizerModel, options);
+      return new TrainingSession(handler);
+    } else {
+      throw new Error(noBackendErrMsg);
+    }
   }
 
   async loadParametersBuffer(_array: Uint8Array, _trainableOnly: boolean): Promise<void> {

js/web/lib/backend-wasm-training.ts

@@ -4,13 +4,17 @@
 import {InferenceSession, TrainingSessionHandler} from 'onnxruntime-common';
 
 import {OnnxruntimeWebAssemblyBackend} from './backend-wasm';
+import {OnnxruntimeWebAssemblyTrainingSessionHandler} from './wasm/session-handler-for-training';
 
 class OnnxruntimeTrainingWebAssemblyBackend extends OnnxruntimeWebAssemblyBackend {
   async createTrainingSessionHandler(
-      _checkpointStateUriOrBuffer: string|Uint8Array, _trainModelUriOrBuffer: string|Uint8Array,
-      _evalModelUriOrBuffer: string|Uint8Array, _optimizerModelUriOrBuffer: string|Uint8Array,
-      _options: InferenceSession.SessionOptions): Promise<TrainingSessionHandler> {
-    throw new Error('Method not implemented yet.');
+      checkpointStateUriOrBuffer: string|Uint8Array, trainModelUriOrBuffer: string|Uint8Array,
+      evalModelUriOrBuffer: string|Uint8Array, optimizerModelUriOrBuffer: string|Uint8Array,
+      options: InferenceSession.SessionOptions): Promise<TrainingSessionHandler> {
+    const handler = new OnnxruntimeWebAssemblyTrainingSessionHandler();
+    await handler.createTrainingSession(
+        checkpointStateUriOrBuffer, trainModelUriOrBuffer, evalModelUriOrBuffer, optimizerModelUriOrBuffer, options);
+    return Promise.resolve(handler);
   }
 }
 

js/web/lib/wasm/binding/ort-wasm.d.ts

@@ -102,6 +102,11 @@ export interface OrtWasmModule extends EmscriptenModule {
   _OrtTrainingCopyParametersFromBuffer?
       (trainingHandle: number, parametersBuffer: number, parameterCount: number, trainableOnly: boolean): number;
 
+  _OrtTrainingGetInputOutputCount?
+      (trainingHandle: number, inputCount: number, outputCount: number, isEvalModel: boolean): number;
+  _OrtTrainingGetInputOutputName?
+      (trainingHandle: number, index: number, isInput: boolean, isEvalModel: boolean): number;
+
   _OrtTrainingReleaseSession?(trainingHandle: number): void;
   // #endregion
 

js/web/lib/wasm/proxy-messages.ts

@@ -73,5 +73,10 @@ interface MesssageEndProfiling extends MessageError {
   in ?: number;
 }
 
+interface MessageIsOrtEnvInitialized extends MessageError {
+  type: 'is-ort-env-initialized';
+  out?: boolean;
+}
+
 export type OrtWasmMessage = MessageInitWasm|MessageInitOrt|MessageCreateSessionAllocate|MessageCreateSessionFinalize|
-    MessageCreateSession|MessageReleaseSession|MessageRun|MesssageEndProfiling;
+    MessageCreateSession|MessageReleaseSession|MessageRun|MesssageEndProfiling|MessageIsOrtEnvInitialized;

js/web/lib/wasm/proxy-worker/main.ts

@@ -4,7 +4,7 @@
 /// <reference lib="webworker" />
 
 import {OrtWasmMessage} from '../proxy-messages';
-import {createSession, createSessionAllocate, createSessionFinalize, endProfiling, extractTransferableBuffers, initRuntime, releaseSession, run} from '../wasm-core-impl';
+import {createSession, createSessionAllocate, createSessionFinalize, endProfiling, extractTransferableBuffers, initRuntime, isOrtEnvInitialized, releaseSession, run} from '../wasm-core-impl';
 import {initializeWebAssembly} from '../wasm-factory';
 
 self.onmessage = (ev: MessageEvent<OrtWasmMessage>): void => {
@@ -89,6 +89,14 @@ self.onmessage = (ev: MessageEvent<OrtWasmMessage>): void => {
         postMessage({type: 'end-profiling', err} as OrtWasmMessage);
       }
       break;
+    case 'is-ort-env-initialized':
+      try {
+        const ortEnvInitialized = isOrtEnvInitialized();
+        postMessage({type: 'is-ort-env-initialized', out: ortEnvInitialized} as OrtWasmMessage);
+      } catch (err) {
+        postMessage({type: 'is-ort-env-initialized', err} as OrtWasmMessage);
+      }
+      break;
     default:
   }
 };

js/web/lib/wasm/proxy-wrapper.ts

@@ -24,6 +24,7 @@ const createSessionCallbacks: Array<PromiseCallbacks<SerializableSessionMetadata
 const releaseSessionCallbacks: Array<PromiseCallbacks<void>> = [];
 const runCallbacks: Array<PromiseCallbacks<SerializableTensorMetadata[]>> = [];
 const endProfilingCallbacks: Array<PromiseCallbacks<void>> = [];
+const isOrtEnvInitializedCallbacks: Array<PromiseCallbacks<boolean>> = [];
 
 const ensureWorker = (): void => {
   if (initializing || !initialized || aborted || !proxyWorker) {
@@ -92,6 +93,13 @@ const onProxyWorkerMessage = (ev: MessageEvent<OrtWasmMessage>): void => {
         endProfilingCallbacks.shift()![0]();
       }
       break;
+    case 'is-ort-env-initialized':
+      if (ev.data.err) {
+        isOrtEnvInitializedCallbacks.shift()![1](ev.data.err);
+      } else {
+        isOrtEnvInitializedCallbacks.shift()![0](ev.data.out!);
+      }
+      break;
     default:
   }
 };
@@ -251,3 +259,16 @@ export const endProfiling = async(sessionId: number): Promise<void> => {
     core.endProfiling(sessionId);
   }
 };
+
+export const isOrtEnvInitialized = async(): Promise<boolean> => {
+  if (!BUILD_DEFS.DISABLE_WASM_PROXY && isProxy()) {
+    ensureWorker();
+    return new Promise<boolean>((resolve, reject) => {
+      isOrtEnvInitializedCallbacks.push([resolve, reject]);
+      const message: OrtWasmMessage = {type: 'is-ort-env-initialized'};
+      proxyWorker!.postMessage(message);
+    });
+  } else {
+    return core.isOrtEnvInitialized();
+  }
+};

js/web/lib/wasm/session-handler-for-training.ts

@@ -0,0 +1,73 @@
+// 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.');
+  }
+}

js/web/lib/wasm/session-handler.ts

@@ -5,10 +5,9 @@ import {readFile} from 'node:fs/promises';
 import {env, InferenceSession, InferenceSessionHandler, SessionHandler, Tensor} from 'onnxruntime-common';
 
 import {SerializableModeldata, TensorMetadata} from './proxy-messages';
-import {createSession, createSessionAllocate, createSessionFinalize, endProfiling, initializeRuntime, releaseSession, run} from './proxy-wrapper';
+import {createSession, createSessionAllocate, createSessionFinalize, endProfiling, initializeRuntime, isOrtEnvInitialized, releaseSession, run} from './proxy-wrapper';
 import {isGpuBufferSupportedType} from './wasm-common';
 
-let runtimeInitialized: boolean;
 let runtimeInitializationPromise: Promise<void>|undefined;
 
 const encodeTensorMetadata = (tensor: Tensor, getName: () => string): TensorMetadata => {
@@ -57,13 +56,12 @@ export class OnnxruntimeWebAssemblySessionHandler implements InferenceSessionHan
   }
 
   async loadModel(pathOrBuffer: string|Uint8Array, options?: InferenceSession.SessionOptions): Promise<void> {
-    if (!runtimeInitialized) {
+    if (!(await isOrtEnvInitialized())) {
       if (!runtimeInitializationPromise) {
         runtimeInitializationPromise = initializeRuntime(env);
       }
       await runtimeInitializationPromise;
       runtimeInitializationPromise = undefined;
-      runtimeInitialized = true;
     }
 
     if (typeof pathOrBuffer === 'string') {

js/web/lib/wasm/wasm-core-impl.ts

@@ -10,6 +10,8 @@ import {dataLocationStringToEnum, getTensorElementSize, isGpuBufferSupportedType
 import {getInstance} from './wasm-factory';
 import {allocWasmString, checkLastError} from './wasm-utils';
 
+let ortEnvInitialized = false;
+
 /**
  * get the input/output count of the session.
  * @param sessionHandle the handle representing the session. should be non-zero.
@@ -57,6 +59,8 @@ export const initRuntime = async(env: Env): Promise<void> => {
     const initJsep = require('./jsep/init').init;
     await initJsep(getInstance(), env);
   }
+
+  ortEnvInitialized = true;
 };
 
 /**
@@ -93,6 +97,8 @@ type SessionMetadata = [
 
 const activeSessions = new Map<number, SessionMetadata>();
 
+export const isOrtEnvInitialized = (): boolean => ortEnvInitialized;
+
 /**
  * allocate the memory and memcpy the model bytes, preparing for creating an instance of InferenceSession.
  * @returns a 2-elements tuple - the pointer and size of the allocated buffer