"use strict";
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/**
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* @license
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* Copyright 2019 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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Object.defineProperty(exports, "__esModule", { value: true });
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var tf = require("./index");
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var jasmine_util_1 = require("./jasmine_util");
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var test_util_1 = require("./test_util");
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var fn2workerURL = function (fn) {
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var blob = new Blob(['(' + fn.toString() + ')()'], { type: 'application/javascript' });
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return URL.createObjectURL(blob);
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};
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// The source code of a web worker.
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var workerTest = function () {
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//@ts-ignore
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importScripts('http://bs-local.com:12345/base/dist/tf-core.min.js');
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var a = tf.tensor1d([1, 2, 3]);
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var b = tf.tensor1d([3, 2, 1]);
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a = a.add(b);
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//@ts-ignore
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self.postMessage({ data: a.dataSync() });
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};
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jasmine_util_1.describeWithFlags('computation in worker', jasmine_util_1.HAS_WORKER, function () {
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it('tensor in worker', function (done) {
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var worker = new Worker(fn2workerURL(workerTest));
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worker.onmessage = function (msg) {
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var data = msg.data.data;
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test_util_1.expectArraysClose(data, [4, 4, 4]);
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done();
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};
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});
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});
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//# sourceMappingURL=worker_test.js.map
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