@tensorflow/tfjs-core/dist/worker_test.js

/**
 * @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.
 * =============================================================================
 */
import * as tf from './index';
import { describeWithFlags, HAS_WORKER } from './jasmine_util';
import { expectArraysClose } from './test_util';
const fn2workerURL = (fn) => {
    const blob = new Blob(['(' + fn.toString() + ')()'], { type: 'application/javascript' });
    return URL.createObjectURL(blob);
};
// The source code of a web worker.
const workerTest = () => {
    //@ts-ignore
    importScripts('http://bs-local.com:12345/base/dist/tf-core.min.js');
    //@ts-ignore
    importScripts('http://bs-local.com:12345/base/dist/tf-backend-cpu.min.js');
    let a = tf.tensor1d([1, 2, 3]);
    const b = tf.tensor1d([3, 2, 1]);
    a = tf.add(a, b);
    //@ts-ignore
    self.postMessage({ data: a.dataSync() });
};
describeWithFlags('computation in worker', HAS_WORKER, () => {
    it('tensor in worker', (done) => {
        const worker = new Worker(fn2workerURL(workerTest));
        worker.onmessage = (msg) => {
            const data = msg.data.data;
            expectArraysClose(data, [4, 4, 4]);
            done();
        };
    });
});
//# sourceMappingURL=worker_test.js.map