"use strict";
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/**
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* @license
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* Copyright 2018 Google LLC. 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 io_utils_1 = require("./io_utils");
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var local_storage_1 = require("./local_storage");
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jasmine_util_1.describeWithFlags('LocalStorage', jasmine_util_1.BROWSER_ENVS, function () {
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// Test data.
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var modelTopology1 = {
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'class_name': 'Sequential',
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'keras_version': '2.1.4',
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'config': [{
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'class_name': 'Dense',
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'config': {
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'kernel_initializer': {
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'class_name': 'VarianceScaling',
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'config': {
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'distribution': 'uniform',
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'scale': 1.0,
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'seed': null,
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'mode': 'fan_avg'
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}
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},
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'name': 'dense',
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'kernel_constraint': null,
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'bias_regularizer': null,
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'bias_constraint': null,
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'dtype': 'float32',
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'activation': 'linear',
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'trainable': true,
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'kernel_regularizer': null,
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'bias_initializer': { 'class_name': 'Zeros', 'config': {} },
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'units': 1,
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'batch_input_shape': [null, 3],
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'use_bias': true,
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'activity_regularizer': null
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}
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}],
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'backend': 'tensorflow'
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};
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var weightSpecs1 = [
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{
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name: 'dense/kernel',
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shape: [3, 1],
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dtype: 'float32',
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},
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{
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name: 'dense/bias',
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shape: [1],
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dtype: 'float32',
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}
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];
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var weightData1 = new ArrayBuffer(16);
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var artifacts1 = {
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modelTopology: modelTopology1,
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weightSpecs: weightSpecs1,
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weightData: weightData1,
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format: 'layers-model',
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generatedBy: 'TensorFlow.js v0.0.0',
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convertedBy: '1.13.1',
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userDefinedMetadata: {}
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};
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var artifactsV0 = {
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modelTopology: modelTopology1,
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weightSpecs: weightSpecs1,
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weightData: weightData1
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};
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function findOverflowingByteSize() {
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var LS = window.localStorage;
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var probeKey = "tfjs_test_probe_values_" + new Date().getTime() + "_" + Math.random();
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var minKilobytes = 200;
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var stepKilobytes = 200;
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var maxKilobytes = 40000;
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for (var kilobytes = minKilobytes; kilobytes < maxKilobytes; kilobytes += stepKilobytes) {
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var bytes = kilobytes * 1024;
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var data = new ArrayBuffer(bytes);
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try {
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var encoded = io_utils_1.arrayBufferToBase64String(data);
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LS.setItem(probeKey, encoded);
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}
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catch (err) {
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return bytes;
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}
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LS.removeItem(probeKey);
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}
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throw new Error("Unable to determined overflowing byte size up to " + maxKilobytes + " kB.");
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}
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beforeEach(function () {
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local_storage_1.purgeLocalStorageArtifacts();
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});
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afterEach(function () {
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local_storage_1.purgeLocalStorageArtifacts();
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});
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it('Save artifacts succeeds', function (done) {
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var testStartDate = new Date();
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var handler = tf.io.getSaveHandlers('localstorage://foo/FooModel')[0];
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handler.save(artifacts1)
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.then(function (saveResult) {
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expect(saveResult.modelArtifactsInfo.dateSaved.getTime())
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.toBeGreaterThanOrEqual(testStartDate.getTime());
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// Note: The following two assertions work only because there is no
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// non-ASCII characters in `modelTopology1` and `weightSpecs1`.
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expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
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.toEqual(JSON.stringify(modelTopology1).length);
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expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
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.toEqual(JSON.stringify(weightSpecs1).length);
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expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(16);
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// Check the content of the saved items in local storage.
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var LS = window.localStorage;
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var info = JSON.parse(LS.getItem('tensorflowjs_models/foo/FooModel/info'));
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expect(Date.parse(info.dateSaved))
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.toEqual(saveResult.modelArtifactsInfo.dateSaved.getTime());
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expect(info.modelTopologyBytes)
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.toEqual(saveResult.modelArtifactsInfo.modelTopologyBytes);
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expect(info.weightSpecsBytes)
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.toEqual(saveResult.modelArtifactsInfo.weightSpecsBytes);
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expect(info.weightDataBytes)
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.toEqual(saveResult.modelArtifactsInfo.weightDataBytes);
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var topologyString = LS.getItem('tensorflowjs_models/foo/FooModel/model_topology');
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expect(JSON.stringify(modelTopology1)).toEqual(topologyString);
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var weightSpecsString = LS.getItem('tensorflowjs_models/foo/FooModel/weight_specs');
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expect(JSON.stringify(weightSpecs1)).toEqual(weightSpecsString);
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var weightDataBase64String = LS.getItem('tensorflowjs_models/foo/FooModel/weight_data');
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expect(io_utils_1.base64StringToArrayBuffer(weightDataBase64String))
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.toEqual(weightData1);
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done();
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})
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.catch(function (err) {
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console.error(err.stack);
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});
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});
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it('Save-load round trip succeeds', function () { return __awaiter(_this, void 0, void 0, function () {
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var handler1, handler2, loaded;
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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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handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
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return [4 /*yield*/, handler1.save(artifacts1)];
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case 1:
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_a.sent();
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handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
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return [4 /*yield*/, handler2.load()];
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case 2:
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loaded = _a.sent();
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expect(loaded.modelTopology).toEqual(modelTopology1);
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expect(loaded.weightSpecs).toEqual(weightSpecs1);
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expect(loaded.weightData).toEqual(weightData1);
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expect(loaded.format).toEqual('layers-model');
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expect(loaded.generatedBy).toEqual('TensorFlow.js v0.0.0');
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expect(loaded.convertedBy).toEqual('1.13.1');
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expect(loaded.userDefinedMetadata).toEqual({});
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return [2 /*return*/];
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}
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});
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}); });
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it('Save-load round trip succeeds: v0 format', function () { return __awaiter(_this, void 0, void 0, function () {
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var handler1, handler2, loaded;
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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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handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
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return [4 /*yield*/, handler1.save(artifactsV0)];
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case 1:
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_a.sent();
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handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
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return [4 /*yield*/, handler2.load()];
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case 2:
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loaded = _a.sent();
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expect(loaded.modelTopology).toEqual(modelTopology1);
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expect(loaded.weightSpecs).toEqual(weightSpecs1);
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expect(loaded.weightData).toEqual(weightData1);
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expect(loaded.format).toBeUndefined();
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expect(loaded.generatedBy).toBeUndefined();
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expect(loaded.convertedBy).toBeUndefined();
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expect(loaded.userDefinedMetadata).toBeUndefined();
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return [2 /*return*/];
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}
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});
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}); });
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it('Loading nonexistent model fails.', function (done) {
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var handler = tf.io.getSaveHandlers('localstorage://NonexistentModel')[0];
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handler.load()
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.then(function (artifacts) {
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fail('Loading nonexistent model succeeded unexpectedly.');
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})
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.catch(function (err) {
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expect(err.message)
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.toEqual('In local storage, there is no model with name ' +
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'\'NonexistentModel\'');
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done();
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});
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});
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it('Loading model with missing topology fails.', function (done) {
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var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
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handler1.save(artifacts1)
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.then(function (saveResult) {
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// Manually remove the topology item from local storage.
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window.localStorage.removeItem('tensorflowjs_models/FooModel/model_topology');
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var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
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handler2.load()
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.then(function (artifacts) {
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fail('Loading of model with missing topology succeeded ' +
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'unexpectedly.');
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})
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.catch(function (err) {
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expect(err.message)
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.toEqual('In local storage, the topology of model ' +
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'\'FooModel\' is missing.');
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done();
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});
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})
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.catch(function (err) {
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console.error(err.stack);
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});
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});
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it('Loading model with missing weight specs fails.', function (done) {
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var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
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handler1.save(artifacts1)
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.then(function (saveResult) {
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// Manually remove the weight specs item from local storage.
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window.localStorage.removeItem('tensorflowjs_models/FooModel/weight_specs');
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var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
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handler2.load()
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.then(function (artifacts) {
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fail('Loading of model with missing weight specs succeeded ' +
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'unexpectedly.');
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})
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.catch(function (err) {
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expect(err.message)
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.toEqual('In local storage, the weight specs of model ' +
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'\'FooModel\' are missing.');
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done();
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});
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})
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.catch(function (err) {
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console.error(err.stack);
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});
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});
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it('Loading model with missing weight data fails.', function (done) {
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var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
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handler1.save(artifacts1)
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.then(function (saveResult) {
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// Manually remove the weight data item from local storage.
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window.localStorage.removeItem('tensorflowjs_models/FooModel/weight_data');
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var handler2 = tf.io.getLoadHandlers('localstorage://FooModel')[0];
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handler2.load()
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.then(function (artifacts) {
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fail('Loading of model with missing weight data succeeded ' +
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'unexpectedly.');
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})
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.catch(function (err) {
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expect(err.message)
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.toEqual('In local storage, the binary weight values of model ' +
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'\'FooModel\' are missing.');
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done();
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});
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})
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.catch(function (err) {
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console.error(err.stack);
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});
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});
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it('Data size too large leads to error thrown', function (done) {
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var overflowByteSize = findOverflowingByteSize();
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var overflowArtifacts = {
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modelTopology: modelTopology1,
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weightSpecs: weightSpecs1,
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weightData: new ArrayBuffer(overflowByteSize),
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};
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var handler1 = tf.io.getSaveHandlers('localstorage://FooModel')[0];
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handler1.save(overflowArtifacts)
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.then(function (saveResult) {
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fail('Saving of model of overflowing-size weight data succeeded ' +
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'unexpectedly.');
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})
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.catch(function (err) {
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expect(err.message
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.indexOf('Failed to save model \'FooModel\' to local storage'))
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.toEqual(0);
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done();
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});
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});
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it('Null, undefined or empty modelPath throws Error', function () {
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expect(function () { return local_storage_1.browserLocalStorage(null); })
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.toThrowError(/local storage, modelPath must not be null, undefined or empty/);
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expect(function () { return local_storage_1.browserLocalStorage(undefined); })
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.toThrowError(/local storage, modelPath must not be null, undefined or empty/);
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expect(function () { return local_storage_1.browserLocalStorage(''); })
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.toThrowError(/local storage, modelPath must not be null, undefined or empty./);
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});
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it('router', function () {
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expect(local_storage_1.localStorageRouter('localstorage://bar') instanceof local_storage_1.BrowserLocalStorage)
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.toEqual(true);
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expect(local_storage_1.localStorageRouter('indexeddb://bar')).toBeNull();
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expect(local_storage_1.localStorageRouter('qux')).toBeNull();
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});
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it('Manager: List models: 0 result', function (done) {
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// Before any model is saved, listModels should return empty result.
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new local_storage_1.BrowserLocalStorageManager()
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.listModels()
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.then(function (out) {
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expect(out).toEqual({});
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done();
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})
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.catch(function (err) { return done.fail(err.stack); });
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});
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it('Manager: List models: 1 result', function (done) {
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var handler = tf.io.getSaveHandlers('localstorage://baz/QuxModel')[0];
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handler.save(artifacts1)
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.then(function (saveResult) {
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// After successful saving, there should be one model.
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new local_storage_1.BrowserLocalStorageManager()
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.listModels()
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.then(function (out) {
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expect(Object.keys(out).length).toEqual(1);
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expect(out['baz/QuxModel'].modelTopologyType)
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.toEqual(saveResult.modelArtifactsInfo.modelTopologyType);
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expect(out['baz/QuxModel'].modelTopologyBytes)
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.toEqual(saveResult.modelArtifactsInfo.modelTopologyBytes);
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expect(out['baz/QuxModel'].weightSpecsBytes)
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.toEqual(saveResult.modelArtifactsInfo.weightSpecsBytes);
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expect(out['baz/QuxModel'].weightDataBytes)
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.toEqual(saveResult.modelArtifactsInfo.weightDataBytes);
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done();
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})
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.catch(function (err) { return done.fail(err.stack); });
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})
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.catch(function (err) { return done.fail(err.stack); });
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});
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it('Manager: List models: 2 results', function (done) {
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// First, save a model.
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var handler1 = tf.io.getSaveHandlers('localstorage://QuxModel')[0];
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handler1.save(artifacts1)
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.then(function (saveResult1) {
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// Then, save the model under another path.
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var handler2 = tf.io.getSaveHandlers('localstorage://repeat/QuxModel')[0];
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handler2.save(artifacts1)
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.then(function (saveResult2) {
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// After successful saving, there should be two models.
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new local_storage_1.BrowserLocalStorageManager()
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.listModels()
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.then(function (out) {
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expect(Object.keys(out).length).toEqual(2);
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expect(out['QuxModel'].modelTopologyType)
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.toEqual(saveResult1.modelArtifactsInfo.modelTopologyType);
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expect(out['QuxModel'].modelTopologyBytes)
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.toEqual(saveResult1.modelArtifactsInfo
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.modelTopologyBytes);
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expect(out['QuxModel'].weightSpecsBytes)
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.toEqual(saveResult1.modelArtifactsInfo.weightSpecsBytes);
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expect(out['QuxModel'].weightDataBytes)
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.toEqual(saveResult1.modelArtifactsInfo.weightDataBytes);
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expect(out['repeat/QuxModel'].modelTopologyType)
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.toEqual(saveResult2.modelArtifactsInfo.modelTopologyType);
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expect(out['repeat/QuxModel'].modelTopologyBytes)
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.toEqual(saveResult2.modelArtifactsInfo
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.modelTopologyBytes);
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expect(out['repeat/QuxModel'].weightSpecsBytes)
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.toEqual(saveResult2.modelArtifactsInfo.weightSpecsBytes);
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expect(out['repeat/QuxModel'].weightDataBytes)
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.toEqual(saveResult2.modelArtifactsInfo.weightDataBytes);
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done();
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})
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.catch(function (err) { return done.fail(err.stack); });
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})
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.catch(function (err) { return done.fail(err.stack); });
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})
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.catch(function (err) { return done.fail(err.stack); });
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});
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it('Manager: Successful deleteModel', function (done) {
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// First, save a model.
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var handler1 = tf.io.getSaveHandlers('localstorage://QuxModel')[0];
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handler1.save(artifacts1)
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.then(function (saveResult1) {
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// Then, save the model under another path.
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var handler2 = tf.io.getSaveHandlers('localstorage://repeat/QuxModel')[0];
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handler2.save(artifacts1)
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.then(function (saveResult2) {
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// After successful saving, delete the first save, and then
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// `listModel` should give only one result.
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var manager = new local_storage_1.BrowserLocalStorageManager();
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manager.removeModel('QuxModel')
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.then(function (deletedInfo) {
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manager.listModels().then(function (out) {
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expect(Object.keys(out)).toEqual(['repeat/QuxModel']);
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});
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done();
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})
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.catch(function (err) { return done.fail(err.stack); });
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})
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.catch(function (err) { return done.fail(err.stack); });
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})
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.catch(function (err) { return done.fail(err.stack); });
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});
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});
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//# sourceMappingURL=local_storage_test.js.map
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