"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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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 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('deprecation warnings', function () {
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beforeEach(function () {
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spyOn(console, 'warn').and.callFake(function (msg) { return null; });
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});
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it('deprecationWarn warns', function () {
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tf.deprecationWarn('xyz is deprecated.');
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expect(console.warn).toHaveBeenCalledTimes(1);
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expect(console.warn)
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.toHaveBeenCalledWith('xyz is deprecated. You can disable deprecation warnings with ' +
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'tf.disableDeprecationWarnings().');
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});
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it('disableDeprecationWarnings called, deprecationWarn doesnt warn', function () {
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tf.disableDeprecationWarnings();
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expect(console.warn).toHaveBeenCalledTimes(1);
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expect(console.warn)
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.toHaveBeenCalledWith('TensorFlow.js deprecation warnings have been disabled.');
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// deprecationWarn no longer warns.
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tf.deprecationWarn('xyz is deprecated.');
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expect(console.warn).toHaveBeenCalledTimes(1);
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});
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});
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describe('Flag flipping methods', function () {
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beforeEach(function () {
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tf.env().reset();
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});
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afterEach(function () {
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tf.env().reset();
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});
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it('tf.enableProdMode', function () {
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tf.enableProdMode();
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expect(tf.env().getBool('PROD')).toBe(true);
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});
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it('tf.enableDebugMode', function () {
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// Silence debug warnings.
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spyOn(console, 'warn');
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tf.enableDebugMode();
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expect(tf.env().getBool('DEBUG')).toBe(true);
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});
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});
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jasmine_util_1.describeWithFlags('time cpu', jasmine_util_1.NODE_ENVS, function () {
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it('simple upload', function () { return __awaiter(_this, void 0, void 0, function () {
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var a, time;
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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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a = tf.zeros([10, 10]);
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return [4 /*yield*/, tf.time(function () { return a.square(); })];
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case 1:
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time = _a.sent();
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expect(time.kernelMs > 0);
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expect(time.wallMs >= time.kernelMs);
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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('tidy', jasmine_util_1.ALL_ENVS, function () {
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it('returns Tensor', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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tf.tidy(function () {
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var a = tf.tensor1d([1, 2, 3]);
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var b = tf.tensor1d([0, 0, 0]);
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expect(tf.memory().numTensors).toBe(2);
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tf.tidy(function () {
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var result = tf.tidy(function () {
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b = tf.addStrict(a, b);
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b = tf.addStrict(a, b);
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b = tf.addStrict(a, b);
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return tf.add(a, b);
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});
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// result is new. All intermediates should be disposed.
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expect(tf.memory().numTensors).toBe(2 + 1);
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expect(result.shape).toEqual([3]);
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expect(result.isDisposed).toBe(false);
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});
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// a, b are still here, result should be disposed.
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expect(tf.memory().numTensors).toBe(2);
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});
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expect(tf.memory().numTensors).toBe(0);
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return [2 /*return*/];
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});
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}); });
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it('multiple disposes does not affect num arrays', function () {
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expect(tf.memory().numTensors).toBe(0);
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var a = tf.tensor1d([1, 2, 3]);
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var b = tf.tensor1d([1, 2, 3]);
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expect(tf.memory().numTensors).toBe(2);
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a.dispose();
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a.dispose();
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expect(tf.memory().numTensors).toBe(1);
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b.dispose();
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expect(tf.memory().numTensors).toBe(0);
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});
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it('allows primitive types', function () {
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var a = tf.tidy(function () { return 5; });
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expect(a).toBe(5);
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var b = tf.tidy(function () { return 'hello'; });
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expect(b).toBe('hello');
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});
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it('allows complex types', function () { return __awaiter(_this, void 0, void 0, function () {
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var res, _a, _b;
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return __generator(this, function (_c) {
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switch (_c.label) {
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case 0:
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res = tf.tidy(function () {
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return { a: tf.scalar(1), b: 'hello', c: [tf.scalar(2), 'world'] };
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});
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, res.a.data()];
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case 1:
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_a.apply(void 0, [_c.sent(), [1]]);
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_b = test_util_1.expectArraysClose;
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return [4 /*yield*/, res.c[0].data()];
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case 2:
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_b.apply(void 0, [_c.sent(), [2]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('returns Tensor[]', function () { return __awaiter(_this, void 0, void 0, function () {
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var a, b;
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return __generator(this, function (_a) {
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a = tf.tensor1d([1, 2, 3]);
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b = tf.tensor1d([0, -1, 1]);
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expect(tf.memory().numTensors).toBe(2);
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tf.tidy(function () {
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var result = tf.tidy(function () {
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tf.add(a, b);
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return [tf.add(a, b), tf.sub(a, b)];
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});
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// the 2 results are new. All intermediates should be disposed.
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expect(tf.memory().numTensors).toBe(4);
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expect(result[0].isDisposed).toBe(false);
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expect(result[0].shape).toEqual([3]);
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expect(result[1].isDisposed).toBe(false);
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expect(result[1].shape).toEqual([3]);
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expect(tf.memory().numTensors).toBe(4);
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});
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// the 2 results should be disposed.
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expect(tf.memory().numTensors).toBe(2);
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a.dispose();
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b.dispose();
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expect(tf.memory().numTensors).toBe(0);
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return [2 /*return*/];
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});
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}); });
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it('basic usage without return', function () {
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var a = tf.tensor1d([1, 2, 3]);
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var b = tf.tensor1d([0, 0, 0]);
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expect(tf.memory().numTensors).toBe(2);
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tf.tidy(function () {
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b = tf.addStrict(a, b);
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b = tf.addStrict(a, b);
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b = tf.addStrict(a, b);
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tf.add(a, b);
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});
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// all intermediates should be disposed.
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expect(tf.memory().numTensors).toBe(2);
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});
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it('nested usage', function () { return __awaiter(_this, void 0, void 0, function () {
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var a, b;
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return __generator(this, function (_a) {
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a = tf.tensor1d([1, 2, 3]);
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b = tf.tensor1d([0, 0, 0]);
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expect(tf.memory().numTensors).toBe(2);
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tf.tidy(function () {
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var result = tf.tidy(function () {
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b = tf.addStrict(a, b);
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b = tf.tidy(function () {
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b = tf.tidy(function () {
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return tf.addStrict(a, b);
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});
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// original a, b, and two intermediates.
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expect(tf.memory().numTensors).toBe(4);
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tf.tidy(function () {
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tf.addStrict(a, b);
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});
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// All the intermediates should be cleaned up.
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expect(tf.memory().numTensors).toBe(4);
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return tf.addStrict(a, b);
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});
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expect(tf.memory().numTensors).toBe(4);
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return tf.addStrict(a, b);
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});
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expect(tf.memory().numTensors).toBe(3);
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expect(result.isDisposed).toBe(false);
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expect(result.shape).toEqual([3]);
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});
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expect(tf.memory().numTensors).toBe(2);
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return [2 /*return*/];
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});
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}); });
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it('nested usage returns tensor created from outside scope', function () {
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var x = tf.scalar(1);
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tf.tidy(function () {
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tf.tidy(function () {
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return x;
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});
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});
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expect(x.isDisposed).toBe(false);
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});
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it('nested usage with keep works', function () {
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var b;
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tf.tidy(function () {
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var a = tf.scalar(1);
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tf.tidy(function () {
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b = tf.keep(a);
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});
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});
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expect(b.isDisposed).toBe(false);
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b.dispose();
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});
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it('single argument', function () {
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var hasRan = false;
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tf.tidy(function () {
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hasRan = true;
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});
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expect(hasRan).toBe(true);
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});
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it('single argument, but not a function throws error', function () {
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expect(function () {
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tf.tidy('asdf');
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}).toThrowError();
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});
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it('2 arguments, first is string', function () {
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var hasRan = false;
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tf.tidy('name', function () {
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hasRan = true;
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});
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expect(hasRan).toBe(true);
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});
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it('2 arguments, but first is not string throws error', function () {
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expect(function () {
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// tslint:disable-next-line:no-any
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tf.tidy(4, function () { });
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}).toThrowError();
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});
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it('2 arguments, but second is not a function throws error', function () {
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expect(function () {
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// tslint:disable-next-line:no-any
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tf.tidy('name', 'another name');
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}).toThrowError();
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});
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it('works with arbitrary depth of result', function () { return __awaiter(_this, void 0, void 0, function () {
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return __generator(this, function (_a) {
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tf.tidy(function () {
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var res = tf.tidy(function () {
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return [tf.scalar(1), [[tf.scalar(2)]], { list: [tf.scalar(3)] }];
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});
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expect(res[0].isDisposed).toBe(false);
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// tslint:disable-next-line:no-any
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expect(res[1][0][0].isDisposed).toBe(false);
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// tslint:disable-next-line:no-any
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expect(res[2].list[0].isDisposed).toBe(false);
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expect(tf.memory().numTensors).toBe(3);
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return res[0];
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});
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// Everything but scalar(1) got disposed.
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expect(tf.memory().numTensors).toBe(1);
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return [2 /*return*/];
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});
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}); });
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});
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//# sourceMappingURL=globals_test.js.map
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