"use strict";
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/**
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* @license
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* Copyright 2017 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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var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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return new (P || (P = Promise))(function (resolve, reject) {
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function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
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function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
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function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
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step((generator = generator.apply(thisArg, _arguments || [])).next());
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});
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};
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var __generator = (this && this.__generator) || function (thisArg, body) {
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var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
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return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
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function verb(n) { return function (v) { return step([n, v]); }; }
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function step(op) {
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if (f) throw new TypeError("Generator is already executing.");
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while (_) try {
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if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
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if (y = 0, t) op = [op[0] & 2, t.value];
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switch (op[0]) {
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case 0: case 1: t = op; break;
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case 4: _.label++; return { value: op[1], done: false };
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case 5: _.label++; y = op[1]; op = [0]; continue;
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case 7: op = _.ops.pop(); _.trys.pop(); continue;
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default:
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if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
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if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
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if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
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if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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if (t[2]) _.ops.pop();
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_.trys.pop(); continue;
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}
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op = body.call(thisArg, _);
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} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
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if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
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}
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};
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var _this = this;
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Object.defineProperty(exports, "__esModule", { value: true });
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var engine_1 = require("./engine");
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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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describe('Backend registration', function () {
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beforeAll(function () {
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// Silences backend registration warnings.
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spyOn(console, 'warn');
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});
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var registeredBackends = [];
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beforeEach(function () {
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// Registering a backend changes global state (engine), so we wrap
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// registration to automatically remove registered backend at the end
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// of each test.
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spyOn(tf, 'registerBackend')
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.and.callFake(function (name, factory, priority) {
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registeredBackends.push(name);
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return engine_1.ENGINE.registerBackend(name, factory, priority);
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});
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engine_1.ENGINE.reset();
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});
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afterEach(function () {
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// Remove all registered backends at the end of each test.
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registeredBackends.forEach(function (name) {
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if (tf.findBackendFactory(name) != null) {
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tf.removeBackend(name);
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}
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});
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registeredBackends = [];
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});
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it('removeBackend disposes the backend and removes the factory', function () {
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var backend;
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var factory = function () {
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var newBackend = new jasmine_util_1.TestKernelBackend();
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if (backend == null) {
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backend = newBackend;
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spyOn(backend, 'dispose').and.callThrough();
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}
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return newBackend;
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};
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tf.registerBackend('test-backend', factory);
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expect(tf.findBackend('test-backend') != null).toBe(true);
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expect(tf.findBackend('test-backend')).toBe(backend);
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expect(tf.findBackendFactory('test-backend')).toBe(factory);
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tf.removeBackend('test-backend');
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expect(tf.findBackend('test-backend') == null).toBe(true);
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expect(tf.findBackend('test-backend')).toBe(null);
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expect(backend.dispose.calls.count()).toBe(1);
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expect(tf.findBackendFactory('test-backend')).toBe(null);
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});
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it('findBackend initializes the backend', function () {
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var backend;
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var factory = function () {
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var newBackend = new jasmine_util_1.TestKernelBackend();
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if (backend == null) {
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backend = newBackend;
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}
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return newBackend;
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};
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tf.registerBackend('custom-cpu', factory);
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expect(tf.findBackend('custom-cpu') != null).toBe(true);
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expect(tf.findBackend('custom-cpu')).toBe(backend);
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expect(tf.findBackendFactory('custom-cpu')).toBe(factory);
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});
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it('custom backend registration', function () {
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var backend;
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var priority = 103;
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tf.registerBackend('custom-cpu', function () {
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var newBackend = new jasmine_util_1.TestKernelBackend();
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if (backend == null) {
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backend = newBackend;
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}
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return newBackend;
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}, priority);
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expect(tf.backend() != null).toBe(true);
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expect(tf.backend()).toBe(backend);
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});
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it('high priority backend registration fails, falls back', function () {
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var lowPriorityBackend;
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var lowPriority = 103;
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var highPriority = 104;
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tf.registerBackend('custom-low-priority', function () {
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lowPriorityBackend = new jasmine_util_1.TestKernelBackend();
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return lowPriorityBackend;
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}, lowPriority);
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tf.registerBackend('custom-high-priority', function () {
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throw new Error("High priority backend fails");
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}, highPriority);
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expect(tf.backend() != null).toBe(true);
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expect(tf.backend()).toBe(lowPriorityBackend);
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expect(tf.getBackend()).toBe('custom-low-priority');
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});
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it('low priority and high priority backends, setBackend low priority', function () {
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var lowPriorityBackend;
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var highPriorityBackend;
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var lowPriority = 103;
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var highPriority = 104;
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tf.registerBackend('custom-low-priority', function () {
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lowPriorityBackend = new jasmine_util_1.TestKernelBackend();
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return lowPriorityBackend;
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}, lowPriority);
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tf.registerBackend('custom-high-priority', function () {
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highPriorityBackend = new jasmine_util_1.TestKernelBackend();
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return highPriorityBackend;
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}, highPriority);
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expect(tf.backend() != null).toBe(true);
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expect(tf.backend()).toBe(highPriorityBackend);
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expect(tf.getBackend()).toBe('custom-high-priority');
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tf.setBackend('custom-low-priority');
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expect(tf.backend() != null).toBe(true);
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expect(tf.backend()).toBe(lowPriorityBackend);
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expect(tf.getBackend()).toBe('custom-low-priority');
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});
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it('default custom background null', function () {
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expect(tf.findBackend('custom')).toBeNull();
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});
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it('allow custom backend', function () {
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var backend = new jasmine_util_1.TestKernelBackend();
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var success = tf.registerBackend('custom', function () { return backend; });
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expect(success).toBeTruthy();
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expect(tf.findBackend('custom')).toEqual(backend);
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});
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it('sync backend with await ready works', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('sync', function () { return testBackend; });
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tf.setBackend('sync');
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expect(tf.getBackend()).toEqual('sync');
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return [4 /*yield*/, tf.ready()];
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case 1:
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_a.sent();
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expect(tf.backend()).toEqual(testBackend);
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return [2 /*return*/];
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}
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});
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}); });
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it('sync backend without await ready works', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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return __generator(this, function (_a) {
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('sync', function () { return testBackend; });
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tf.setBackend('sync');
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expect(tf.getBackend()).toEqual('sync');
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expect(tf.backend()).toEqual(testBackend);
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return [2 /*return*/];
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});
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}); });
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it('async backend with await ready works', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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var _this = this;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, testBackend];
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}
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});
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}); });
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tf.setBackend('async');
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expect(tf.getBackend()).toEqual('async');
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return [4 /*yield*/, tf.ready()];
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case 1:
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_a.sent();
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expect(tf.backend()).toEqual(testBackend);
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return [2 /*return*/];
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}
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});
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}); });
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it('async backend without await ready does not work', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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var _this = this;
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return __generator(this, function (_a) {
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, testBackend];
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}
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});
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}); });
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tf.setBackend('async');
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expect(tf.getBackend()).toEqual('async');
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expect(function () { return tf.backend(); })
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.toThrowError(/Backend 'async' has not yet been initialized./);
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return [2 /*return*/];
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});
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}); });
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it('tf.square() fails if user does not await ready on async backend', function () { return __awaiter(_this, void 0, void 0, function () {
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var _this = this;
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return __generator(this, function (_a) {
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, new jasmine_util_1.TestKernelBackend()];
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}
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});
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}); });
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tf.setBackend('async');
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expect(function () { return tf.square(2); })
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.toThrowError(/Backend 'async' has not yet been initialized/);
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return [2 /*return*/];
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});
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}); });
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it('tf.square() works when user awaits ready on async backend', function () { return __awaiter(_this, void 0, void 0, function () {
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var _this = this;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, new jasmine_util_1.TestKernelBackend()];
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}
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});
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}); });
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tf.setBackend('async');
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return [4 /*yield*/, tf.ready()];
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case 1:
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_a.sent();
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expect(function () { return tf.square(2); }).toThrowError(/'write' not yet implemented/);
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return [2 /*return*/];
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}
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});
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}); });
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it('Registering async2 (higher priority) fails, async1 becomes active', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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var _this = this;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('async1', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, testBackend];
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}
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});
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}); }, 100 /* priority */);
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tf.registerBackend('async2', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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throw new Error('failed to create async2');
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}
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});
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}); }, 101 /* priority */);
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// Await for the library to find the best backend that succesfully
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// initializes.
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return [4 /*yield*/, tf.ready()];
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case 1:
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// Await for the library to find the best backend that succesfully
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// initializes.
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_a.sent();
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expect(tf.backend()).toEqual(testBackend);
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expect(tf.getBackend()).toBe('async1');
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return [2 /*return*/];
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}
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});
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}); });
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it('Registering sync as higher priority and async as lower priority', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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var _this = this;
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return __generator(this, function (_a) {
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('sync', function () { return testBackend; }, 101 /* priority */);
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, new jasmine_util_1.TestKernelBackend()];
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}
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});
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}); }, 100 /* priority */);
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// No need to await for ready() since the highest priority one is sync.
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expect(tf.backend()).toEqual(testBackend);
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expect(tf.getBackend()).toBe('sync');
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return [2 /*return*/];
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});
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}); });
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it('async as higher priority and sync as lower priority with await ready', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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var _this = this;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, testBackend];
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}
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});
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}); }, 101 /* priority */);
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tf.registerBackend('sync', function () { return new jasmine_util_1.TestKernelBackend(); }, 100 /* priority */);
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return [4 /*yield*/, tf.ready()];
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case 1:
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_a.sent();
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expect(tf.backend()).toEqual(testBackend);
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expect(tf.getBackend()).toBe('async');
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return [2 /*return*/];
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}
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});
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}); });
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it('async as higher priority and sync as lower priority w/o await ready', function () { return __awaiter(_this, void 0, void 0, function () {
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var testBackend;
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var _this = this;
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return __generator(this, function (_a) {
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testBackend = new jasmine_util_1.TestKernelBackend();
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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return [2 /*return*/, testBackend];
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}
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});
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}); }, 101 /* priority */);
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tf.registerBackend('sync', function () { return new jasmine_util_1.TestKernelBackend(); }, 100 /* priority */);
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expect(function () { return tf.backend(); })
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.toThrowError(/The highest priority backend 'async' has not yet been/);
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return [2 /*return*/];
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});
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}); });
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it('Registering and setting a backend that fails to register', function () { return __awaiter(_this, void 0, void 0, function () {
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var success, _a;
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var _this = this;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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tf.registerBackend('async', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0: return [4 /*yield*/, tf.nextFrame()];
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case 1:
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_a.sent();
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throw new Error('failed to create async');
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}
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});
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}); });
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success = tf.setBackend('async');
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expect(tf.getBackend()).toBe('async');
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expect(function () { return tf.backend(); })
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.toThrowError(/Backend 'async' has not yet been initialized/);
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_a = expect;
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return [4 /*yield*/, success];
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case 1:
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_a.apply(void 0, [_b.sent()]).toBe(false);
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return [2 /*return*/];
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}
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});
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}); });
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});
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jasmine_util_1.describeWithFlags('memory', jasmine_util_1.ALL_ENVS, function () {
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it('Sum(float)', function () { return __awaiter(_this, void 0, void 0, function () {
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var sum, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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expect(tf.memory().numTensors).toBe(0);
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expect(tf.memory().numBytes).toBe(0);
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sum = tf.tidy(function () {
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var a = tf.tensor1d([1, 2, 3, 4]);
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expect(tf.memory().numTensors).toBe(1);
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expect(tf.memory().numBytes).toBe(4 * 4);
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return a.sum();
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});
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expect(tf.memory().numTensors).toBe(1);
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expect(tf.memory().numBytes).toBe(4);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, sum.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [1 + 2 + 3 + 4]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('Sum(bool)', function () { return __awaiter(_this, void 0, void 0, function () {
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var sum, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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sum = tf.tidy(function () {
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var a = tf.tensor1d([true, true, false, true], 'bool');
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expect(tf.memory().numTensors).toBe(1);
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expect(tf.memory().numBytes).toBe(4);
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return a.sum();
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});
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expect(tf.memory().numTensors).toBe(1);
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expect(tf.memory().numBytes).toBe(4);
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expect(sum.dtype).toBe('int32');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, sum.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [1 + 1 + 0 + 1]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('Sum(int32)', function () { return __awaiter(_this, void 0, void 0, function () {
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var sum, _a;
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return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
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sum = tf.tidy(function () {
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var a = tf.tensor1d([1, 1, 0, 1], 'int32');
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expect(tf.memory().numTensors).toBe(1);
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expect(tf.memory().numBytes).toBe(4 * 4);
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return a.sum();
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});
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expect(tf.memory().numTensors).toBe(1);
|
expect(tf.memory().numBytes).toBe(4);
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expect(sum.dtype).toBe('int32');
|
_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, sum.data()];
|
case 1:
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_a.apply(void 0, [_b.sent(), [1 + 1 + 0 + 1]]);
|
return [2 /*return*/];
|
}
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});
|
}); });
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it('string tensor', function () {
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var a = tf.tensor([['a', 'bb'], ['c', 'd']]);
|
expect(tf.memory().numTensors).toBe(1);
|
expect(tf.memory().numBytes).toBe(5); // 5 letters, each 1 byte in utf8.
|
a.dispose();
|
expect(tf.memory().numTensors).toBe(0);
|
expect(tf.memory().numBytes).toBe(0);
|
});
|
it('unreliable is true for string tensors', function () {
|
tf.tensor('a');
|
var mem = tf.memory();
|
expect(mem.unreliable).toBe(true);
|
var expectedReason = 'Memory usage by string tensors is approximate ' +
|
'(2 bytes per character)';
|
expect(mem.reasons.indexOf(expectedReason) >= 0).toBe(true);
|
});
|
});
|
jasmine_util_1.describeWithFlags('profile', jasmine_util_1.ALL_ENVS, function () {
|
it('squaring', function () { return __awaiter(_this, void 0, void 0, function () {
|
var profile, result, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0: return [4 /*yield*/, tf.profile(function () {
|
var x = tf.tensor1d([1, 2, 3]);
|
var x2 = x.square();
|
x2.dispose();
|
x2 = x.square();
|
x2.dispose();
|
return x;
|
})];
|
case 1:
|
profile = _b.sent();
|
result = profile.result;
|
expect(profile.newBytes).toBe(12);
|
expect(profile.peakBytes).toBe(24);
|
expect(profile.newTensors).toBe(1);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, result.data()];
|
case 2:
|
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
|
expect(profile.kernels).toEqual([
|
{
|
'name': 'Square',
|
'bytesAdded': 12,
|
'totalBytesSnapshot': 24,
|
'tensorsAdded': 1,
|
'totalTensorsSnapshot': 2,
|
'inputShapes': [[3]],
|
'outputShapes': [[3]]
|
},
|
{
|
'name': 'Square',
|
'bytesAdded': 12,
|
'totalBytesSnapshot': 24,
|
'tensorsAdded': 1,
|
'totalTensorsSnapshot': 2,
|
'inputShapes': [[3]],
|
'outputShapes': [[3]]
|
}
|
]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('squaring without disposing', function () { return __awaiter(_this, void 0, void 0, function () {
|
var profile, result, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0: return [4 /*yield*/, tf.profile(function () {
|
var x = tf.tensor1d([1, 2, 3]);
|
var x2 = x.square();
|
return x2;
|
})];
|
case 1:
|
profile = _b.sent();
|
result = profile.result;
|
expect(profile.newBytes).toBe(24);
|
expect(profile.peakBytes).toBe(24);
|
expect(profile.newTensors).toBe(2);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, result.data()];
|
case 2:
|
_a.apply(void 0, [_b.sent(), [1, 4, 9]]);
|
expect(profile.kernels).toEqual([{
|
'name': 'Square',
|
'bytesAdded': 12,
|
'totalBytesSnapshot': 24,
|
'tensorsAdded': 1,
|
'totalTensorsSnapshot': 2,
|
'inputShapes': [[3]],
|
'outputShapes': [[3]]
|
}]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
jasmine_util_1.describeWithFlags('disposeVariables', jasmine_util_1.ALL_ENVS, function () {
|
it('reuse same name variable', function () {
|
tf.tensor1d([1, 2, 3]).variable(true, 'v1');
|
tf.tensor1d([1, 2, 3]).variable(true, 'v2');
|
expect(function () {
|
tf.tensor1d([1, 2, 3]).variable(true, 'v1');
|
}).toThrowError();
|
tf.disposeVariables();
|
tf.tensor1d([1, 2, 3]).variable(true, 'v1');
|
tf.tensor1d([1, 2, 3]).variable(true, 'v2');
|
});
|
});
|
/**
|
* The following test constraints to the CPU environment because it needs a
|
* concrete backend to exist. This test will work for any backend, but currently
|
* this is the simplest backend to test against.
|
*/
|
jasmine_util_1.describeWithFlags('Switching cpu backends', { predicate: function (testEnv) { return testEnv.backendName === 'cpu'; } }, function () {
|
beforeEach(function () {
|
tf.registerBackend('cpu1', tf.findBackendFactory('cpu'));
|
tf.registerBackend('cpu2', tf.findBackendFactory('cpu'));
|
});
|
afterEach(function () {
|
tf.removeBackend('cpu1');
|
tf.removeBackend('cpu2');
|
});
|
it('Move data from cpu1 to cpu2 backend', function () { return __awaiter(_this, void 0, void 0, function () {
|
var a, b, _a, _b, _c, _d;
|
return __generator(this, function (_e) {
|
switch (_e.label) {
|
case 0:
|
tf.setBackend('cpu1');
|
a = tf.scalar(5);
|
tf.setBackend('cpu2');
|
b = tf.scalar(3);
|
expect(tf.memory().numDataBuffers).toBe(2);
|
expect(tf.memory().numTensors).toBe(2);
|
expect(tf.memory().numBytes).toBe(8);
|
// Make sure you can read both tensors.
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, a.data()];
|
case 1:
|
// Make sure you can read both tensors.
|
_a.apply(void 0, [_e.sent(), [5]]);
|
_b = test_util_1.expectArraysClose;
|
return [4 /*yield*/, b.data()];
|
case 2:
|
_b.apply(void 0, [_e.sent(), [3]]);
|
// Switch back to cpu1.
|
tf.setBackend('cpu1');
|
// Again make sure you can read both tensors.
|
_c = test_util_1.expectArraysClose;
|
return [4 /*yield*/, a.data()];
|
case 3:
|
// Again make sure you can read both tensors.
|
_c.apply(void 0, [_e.sent(), [5]]);
|
_d = test_util_1.expectArraysClose;
|
return [4 /*yield*/, b.data()];
|
case 4:
|
_d.apply(void 0, [_e.sent(), [3]]);
|
tf.dispose([a, b]);
|
expect(tf.memory().numDataBuffers).toBe(0);
|
expect(tf.memory().numTensors).toBe(0);
|
expect(tf.memory().numBytes).toBe(0);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('can execute op with data from mixed backends', function () { return __awaiter(_this, void 0, void 0, function () {
|
var a, b, _a, _b;
|
return __generator(this, function (_c) {
|
switch (_c.label) {
|
case 0:
|
tf.setBackend('cpu1');
|
a = tf.scalar(5);
|
tf.setBackend('cpu2');
|
b = tf.scalar(3);
|
// Verify that ops can execute with mixed backend data.
|
engine_1.ENGINE.startScope();
|
tf.setBackend('cpu1');
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.add(a, b).data()];
|
case 1:
|
_a.apply(void 0, [_c.sent(), [8]]);
|
tf.setBackend('cpu2');
|
_b = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.add(a, b).data()];
|
case 2:
|
_b.apply(void 0, [_c.sent(), [8]]);
|
engine_1.ENGINE.endScope();
|
expect(tf.memory().numTensors).toBe(2);
|
expect(tf.memory().numDataBuffers).toBe(2);
|
tf.dispose([a, b]);
|
expect(tf.memory().numTensors).toBe(0);
|
expect(tf.memory().numDataBuffers).toBe(0);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
/**
|
* The following unit test is a special integration-style test that assumes
|
* things about CPU & WebGL backends being registered. This tests doesn't live
|
* in the backend directory because it is testing engine rather than
|
* backend-specific details but needs a real backend to exist. This test will
|
* fail if the CPU backends is not registered. This is intentional, we should
|
* have coverage for when these backends are enabled and ensure they work with
|
* the engine.
|
*/
|
jasmine_util_1.describeWithFlags('Switching WebGL + CPU backends', {
|
predicate: function (testEnv) { return testEnv.backendName === 'webgl' &&
|
engine_1.ENGINE.backendNames().indexOf('webgl') !== -1 &&
|
engine_1.ENGINE.backendNames().indexOf('cpu') !== -1; }
|
}, function () {
|
beforeEach(function () {
|
tf.registerBackend('webgl1', tf.findBackendFactory('webgl'));
|
tf.registerBackend('webgl2', tf.findBackendFactory('webgl'));
|
tf.registerBackend('cpu1', tf.findBackendFactory('cpu'));
|
});
|
afterEach(function () {
|
tf.removeBackend('webgl1');
|
tf.removeBackend('webgl2');
|
tf.removeBackend('cpu1');
|
});
|
it('can execute op with data from mixed backends', function () { return __awaiter(_this, void 0, void 0, function () {
|
var a, b, c, _a, _b, _c;
|
return __generator(this, function (_d) {
|
switch (_d.label) {
|
case 0:
|
tf.setBackend('webgl1');
|
a = tf.scalar(5);
|
tf.setBackend('webgl2');
|
b = tf.scalar(3);
|
tf.setBackend('cpu1');
|
c = tf.scalar(2);
|
// Verify that ops can execute with mixed backend data.
|
engine_1.ENGINE.startScope();
|
tf.setBackend('webgl1');
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.addN([a, b, c]).data()];
|
case 1:
|
_a.apply(void 0, [_d.sent(), [10]]);
|
tf.setBackend('webgl2');
|
_b = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.addN([a, b, c]).data()];
|
case 2:
|
_b.apply(void 0, [_d.sent(), [10]]);
|
tf.setBackend('cpu1');
|
_c = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.addN([a, b, c]).data()];
|
case 3:
|
_c.apply(void 0, [_d.sent(), [10]]);
|
engine_1.ENGINE.endScope();
|
expect(tf.memory().numTensors).toBe(3);
|
expect(tf.memory().numDataBuffers).toBe(3);
|
tf.dispose([a, b, c]);
|
expect(tf.memory().numTensors).toBe(0);
|
expect(tf.memory().numDataBuffers).toBe(0);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('fromPixels with mixed backends works', function () { return __awaiter(_this, void 0, void 0, function () {
|
var a, b, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
tf.setBackend('webgl1');
|
a = tf.browser.fromPixels(new ImageData(new Uint8ClampedArray([1, 2, 3, 4]), 1, 1));
|
tf.setBackend('webgl2');
|
b = tf.browser.fromPixels(new ImageData(new Uint8ClampedArray([5, 6, 7, 8]), 1, 1));
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.add(a, b).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [6, 8, 10]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('single tidy multiple backends', function () {
|
var kernelFunc = tf.getKernel('Square', 'webgl').kernelFunc;
|
tf.registerKernel({ kernelName: 'Square', backendName: 'webgl1', kernelFunc: kernelFunc });
|
tf.registerKernel({ kernelName: 'Square', backendName: 'webgl2', kernelFunc: kernelFunc });
|
expect(tf.memory().numTensors).toBe(0);
|
tf.tidy(function () {
|
tf.setBackend('webgl1');
|
var a = tf.scalar(1);
|
a.square(); // Uploads to GPU.
|
tf.setBackend('webgl2');
|
var b = tf.scalar(1);
|
b.square(); // Uploads to GPU.
|
expect(tf.memory().numTensors).toBe(4);
|
});
|
expect(tf.memory().numTensors).toBe(0);
|
tf.unregisterKernel('Square', 'webgl1');
|
tf.unregisterKernel('Square', 'webgl2');
|
});
|
});
|
jasmine_util_1.describeWithFlags('Detects memory leaks in kernels', jasmine_util_1.ALL_ENVS, function () {
|
var backendName = 'test-mem';
|
var kernelName = 'MyKernel';
|
var kernelNameComplex = 'Kernel-complex';
|
it('Detects memory leak in a kernel', function () {
|
var dataIdsCount = 0;
|
tf.registerBackend(backendName, function () {
|
return {
|
id: 1,
|
dispose: function () { return null; },
|
disposeData: function (dataId) { return null; },
|
numDataIds: function () { return dataIdsCount; }
|
};
|
});
|
var kernelWithMemLeak = function () {
|
dataIdsCount += 2;
|
return { dataId: {}, shape: [], dtype: 'float32' };
|
};
|
tf.registerKernel({ kernelName: kernelName, backendName: backendName, kernelFunc: kernelWithMemLeak });
|
tf.setBackend(backendName);
|
expect(function () { return tf.engine().runKernel(kernelName, {}, {}); })
|
.toThrowError(/Backend 'test-mem' has an internal memory leak \(1 data ids\)/);
|
tf.removeBackend(backendName);
|
tf.unregisterKernel(kernelName, backendName);
|
});
|
it('No mem leak in a kernel with multiple outputs', function () {
|
var dataIdsCount = 0;
|
tf.registerBackend(backendName, function () {
|
return {
|
id: 1,
|
dispose: function () { return null; },
|
disposeData: function (dataId) { return null; },
|
numDataIds: function () { return dataIdsCount; }
|
};
|
});
|
tf.setBackend(backendName);
|
var kernelWith3Outputs = function () {
|
dataIdsCount += 3;
|
var t = { dataId: {}, shape: [], dtype: 'float32' };
|
return [t, t, t];
|
};
|
tf.registerKernel({ kernelName: kernelName, backendName: backendName, kernelFunc: kernelWith3Outputs });
|
var res = tf.engine().runKernel(kernelName, {}, {});
|
expect(Array.isArray(res)).toBe(true);
|
expect(res.length).toBe(3);
|
var kernelWithComplexOutputs = function () {
|
dataIdsCount += 3;
|
return { dataId: {}, shape: [], dtype: 'complex64' };
|
};
|
tf.registerKernel({
|
kernelName: kernelNameComplex,
|
backendName: backendName,
|
kernelFunc: kernelWithComplexOutputs
|
});
|
var res2 = tf.engine().runKernel(kernelNameComplex, {}, {});
|
expect(res2.shape).toEqual([]);
|
expect(res2.dtype).toEqual('complex64');
|
tf.removeBackend(backendName);
|
tf.unregisterKernel(kernelName, backendName);
|
tf.unregisterKernel(kernelNameComplex, backendName);
|
});
|
});
|
// NOTE: This describe is purposefully not a describeWithFlags so that we
|
// test tensor allocation where no scopes have been created.
|
describe('Memory allocation outside a test scope', function () {
|
it('constructing a tensor works', function () { return __awaiter(_this, void 0, void 0, function () {
|
var backendName, a, _a;
|
var _this = this;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
backendName = 'test-backend';
|
tf.registerBackend(backendName, function () {
|
var storedValues = null;
|
return {
|
id: 1,
|
floatPrecision: function () { return 32; },
|
write: function (values, shape, dtype) {
|
var dataId = {};
|
storedValues = values;
|
return dataId;
|
},
|
read: function (dataId) { return __awaiter(_this, void 0, void 0, function () { return __generator(this, function (_a) {
|
return [2 /*return*/, storedValues];
|
}); }); },
|
dispose: function () { return null; },
|
disposeData: function (dataId) { return null; },
|
};
|
});
|
tf.setBackend(backendName);
|
a = tf.tensor1d([1, 2, 3]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, a.data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
|
a.dispose();
|
tf.removeBackend(backendName);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
//# sourceMappingURL=engine_test.js.map
|
