@tensorflow/tfjs-backend-wasm
Version:
This package adds a WebAssembly backend to TensorFlow.js. It currently supports the following models from our [models](https://github.com/tensorflow/tfjs-models) repo: - BlazeFace - BodyPix - CocoSSD - Face landmarks detection - HandPose - KNN classifier
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TypeScript
/**
* @license
* Copyright 2019 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
export interface BackendWasmModule extends EmscriptenModule {
// Using the tfjs namespace to avoid conflict with emscripten's API.
tfjs: {
init(): void,
initWithThreadsCount(threadsCount: number): void,
getThreadsCount(): number,
registerTensor(id: number, size: number, memoryOffset: number): void,
// Disposes the data behind the data bucket.
disposeData(id: number): void,
// Disposes the backend and all of its associated data.
dispose(): void,
}
}
export interface WasmFactoryConfig {
mainScriptUrlOrBlob?: string|Blob;
locateFile?(path: string, prefix: string): string;
instantiateWasm?: Function;
onRuntimeInitialized?: () => void;
onAbort?: (msg: string) => void;
}
declare var moduleFactory: (settings: WasmFactoryConfig) =>
Promise<BackendWasmModule>;
export default moduleFactory;