"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 tf = require("./index");
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var jasmine_util_1 = require("./jasmine_util");
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var tensor_1 = require("./tensor");
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var test_util_1 = require("./test_util");
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jasmine_util_1.describeWithFlags('variable', jasmine_util_1.ALL_ENVS, function () {
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it('simple assign', function () { return __awaiter(_this, void 0, void 0, function () {
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var v, _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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v = tf.variable(tf.tensor1d([1, 2, 3]));
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 1:
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_a.apply(void 0, [_c.sent(), [1, 2, 3]]);
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v.assign(tf.tensor1d([4, 5, 6]));
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_b = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 2:
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_b.apply(void 0, [_c.sent(), [4, 5, 6]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('simple chain assign', function () { return __awaiter(_this, void 0, void 0, function () {
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var v, _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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v = tf.tensor1d([1, 2, 3]).variable();
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 1:
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_a.apply(void 0, [_c.sent(), [1, 2, 3]]);
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v.assign(tf.tensor1d([4, 5, 6]));
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_b = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 2:
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_b.apply(void 0, [_c.sent(), [4, 5, 6]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('default names are unique', function () {
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var v = tf.variable(tf.tensor1d([1, 2, 3]));
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expect(v.name).not.toBeNull();
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var v2 = tf.variable(tf.tensor1d([1, 2, 3]));
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expect(v2.name).not.toBeNull();
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expect(v.name).not.toBe(v2.name);
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});
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it('user provided name', function () {
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var v = tf.variable(tf.tensor1d([1, 2, 3]), true, 'myName');
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expect(v.name).toBe('myName');
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});
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it('if name already used, throw error', function () {
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tf.variable(tf.tensor1d([1, 2, 3]), true, 'myName');
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expect(function () { return tf.variable(tf.tensor1d([1, 2, 3]), true, 'myName'); })
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.toThrowError();
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});
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it('ops can take variables', function () { return __awaiter(_this, void 0, void 0, function () {
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var value, v, res, _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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value = tf.tensor1d([1, 2, 3]);
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v = tf.variable(value);
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res = tf.sum(v);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, res.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [6]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('chained variables works', function () { return __awaiter(_this, void 0, void 0, function () {
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var v, res, _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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v = tf.tensor1d([1, 2, 3]).variable();
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res = tf.sum(v);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, res.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [6]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('variables are not affected by tidy', function () { return __awaiter(_this, void 0, void 0, function () {
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var v, _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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tf.tidy(function () {
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var value = tf.tensor1d([1, 2, 3], 'float32');
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expect(tf.memory().numTensors).toBe(1);
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v = tf.variable(value);
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expect(tf.memory().numTensors).toBe(2);
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});
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expect(tf.memory().numTensors).toBe(1);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
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v.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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}); });
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it('disposing a named variable allows creating new named variable', function () {
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var numTensors = tf.memory().numTensors;
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var t = tf.scalar(1);
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var varName = 'var';
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var v = tf.variable(t, true, varName);
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expect(tf.memory().numTensors).toBe(numTensors + 2);
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v.dispose();
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t.dispose();
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expect(tf.memory().numTensors).toBe(numTensors);
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// Create another variable with the same name.
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var t2 = tf.scalar(1);
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var v2 = tf.variable(t2, true, varName);
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expect(tf.memory().numTensors).toBe(numTensors + 2);
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t2.dispose();
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v2.dispose();
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expect(tf.memory().numTensors).toBe(numTensors);
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});
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it('double disposing a variable works', function () {
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var numTensors = tf.memory().numTensors;
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var t = tf.scalar(1);
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var v = tf.variable(t);
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expect(tf.memory().numTensors).toBe(numTensors + 2);
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t.dispose();
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v.dispose();
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expect(tf.memory().numTensors).toBe(numTensors);
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// Double dispose the variable.
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v.dispose();
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expect(tf.memory().numTensors).toBe(numTensors);
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});
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it('constructor does not dispose', function () { return __awaiter(_this, void 0, void 0, function () {
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var a, v, _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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a = tf.scalar(2);
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v = tf.variable(a);
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expect(tf.memory().numTensors).toBe(2);
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expect(tf.memory().numDataBuffers).toBe(1);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 1:
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_a.apply(void 0, [_c.sent(), [2]]);
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_b = test_util_1.expectArraysClose;
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return [4 /*yield*/, a.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('variables are assignable to tensors', function () {
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// This test asserts compilation, not doing any run-time assertion.
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var x0 = null;
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var y0 = x0;
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expect(y0).toBeNull();
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var x1 = null;
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var y1 = x1;
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expect(y1).toBeNull();
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var x2 = null;
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var y2 = x2;
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expect(y2).toBeNull();
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var x3 = null;
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var y3 = x3;
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expect(y3).toBeNull();
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var x4 = null;
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var y4 = x4;
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expect(y4).toBeNull();
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var xh = null;
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var yh = xh;
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expect(yh).toBeNull();
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});
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it('assign does not dispose old data', function () { return __awaiter(_this, void 0, void 0, function () {
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var v, _a, secondArray, _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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v = tf.variable(tf.tensor1d([1, 2, 3]));
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expect(tf.memory().numTensors).toBe(2);
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expect(tf.memory().numDataBuffers).toBe(1);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 1:
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_a.apply(void 0, [_c.sent(), [1, 2, 3]]);
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secondArray = tf.tensor1d([4, 5, 6]);
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expect(tf.memory().numTensors).toBe(3);
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expect(tf.memory().numDataBuffers).toBe(2);
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v.assign(secondArray);
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_b = test_util_1.expectArraysClose;
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return [4 /*yield*/, v.data()];
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case 2:
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_b.apply(void 0, [_c.sent(), [4, 5, 6]]);
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// Assign doesn't dispose the 1st array.
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expect(tf.memory().numTensors).toBe(3);
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expect(tf.memory().numDataBuffers).toBe(2);
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v.dispose();
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// Disposing the variable disposes itself. The input to variable and
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// secondArray are the only remaining tensors.
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expect(tf.memory().numTensors).toBe(2);
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expect(tf.memory().numDataBuffers).toBe(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('shape must match', function () {
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var v = tf.variable(tf.tensor1d([1, 2, 3]));
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expect(function () { return v.assign(tf.tensor1d([1, 2])); }).toThrowError();
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// tslint:disable-next-line:no-any
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expect(function () { return v.assign(tf.tensor2d([3, 4], [1, 2])); }).toThrowError();
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});
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it('dtype must match', function () {
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var v = tf.variable(tf.tensor1d([1, 2, 3]));
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// tslint:disable-next-line:no-any
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expect(function () { return v.assign(tf.tensor1d([1, 1, 1], 'int32')); })
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.toThrowError();
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// tslint:disable-next-line:no-any
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expect(function () { return v.assign(tf.tensor1d([true, false, true], 'bool')); })
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.toThrowError();
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});
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});
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jasmine_util_1.describeWithFlags('x instanceof Variable', jasmine_util_1.ALL_ENVS, function () {
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it('x: Variable', function () {
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var t = tf.variable(tf.scalar(1));
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expect(t instanceof tensor_1.Variable).toBe(true);
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});
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it('x: Variable-like', function () {
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var t = { assign: function () { }, shape: [2], dtype: 'float32', dataId: {} };
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expect(t instanceof tensor_1.Variable).toBe(true);
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});
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it('x: other object, fails', function () {
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var t = { something: 'else' };
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expect(t instanceof tensor_1.Variable).toBe(false);
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});
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it('x: Tensor, fails', function () {
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var t = tf.scalar(1);
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expect(t instanceof tensor_1.Variable).toBe(false);
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});
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});
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//# sourceMappingURL=variable_test.js.map
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