"use strict"; /** * @license * Copyright 2019 Google Inc. 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. * ============================================================================= */ Object.defineProperty(exports, "__esModule", { value: true }); var tf = require("./index"); var jasmine_util_1 = require("./jasmine_util"); var test_util_1 = require("./test_util"); var fn2workerURL = function (fn) { var blob = new Blob(['(' + fn.toString() + ')()'], { type: 'application/javascript' }); return URL.createObjectURL(blob); }; // The source code of a web worker. var workerTest = function () { //@ts-ignore importScripts('http://bs-local.com:12345/base/dist/tf-core.min.js'); var a = tf.tensor1d([1, 2, 3]); var b = tf.tensor1d([3, 2, 1]); a = a.add(b); //@ts-ignore self.postMessage({ data: a.dataSync() }); }; jasmine_util_1.describeWithFlags('computation in worker', jasmine_util_1.HAS_WORKER, function () { it('tensor in worker', function (done) { var worker = new Worker(fn2workerURL(workerTest)); worker.onmessage = function (msg) { var data = msg.data.data; test_util_1.expectArraysClose(data, [4, 4, 4]); done(); }; }); }); //# sourceMappingURL=worker_test.js.map