@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
"use strict";
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
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;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
var _this = this;
Object.defineProperty(exports, "__esModule", { value: true });
/**
* Unit tests for indexed_db.ts.
*/
var tf = require("../index");
var jasmine_util_1 = require("../jasmine_util");
var test_util_1 = require("../test_util");
var indexed_db_1 = require("./indexed_db");
jasmine_util_1.describeWithFlags('IndexedDB', jasmine_util_1.BROWSER_ENVS, function () {
// Test data.
var modelTopology1 = {
'class_name': 'Sequential',
'keras_version': '2.1.4',
'config': [{
'class_name': 'Dense',
'config': {
'kernel_initializer': {
'class_name': 'VarianceScaling',
'config': {
'distribution': 'uniform',
'scale': 1.0,
'seed': null,
'mode': 'fan_avg'
}
},
'name': 'dense',
'kernel_constraint': null,
'bias_regularizer': null,
'bias_constraint': null,
'dtype': 'float32',
'activation': 'linear',
'trainable': true,
'kernel_regularizer': null,
'bias_initializer': { 'class_name': 'Zeros', 'config': {} },
'units': 1,
'batch_input_shape': [null, 3],
'use_bias': true,
'activity_regularizer': null
}
}],
'backend': 'tensorflow'
};
var weightSpecs1 = [
{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
},
{
name: 'dense/bias',
shape: [1],
dtype: 'float32',
}
];
var weightData1 = new ArrayBuffer(16);
var artifacts1 = {
modelTopology: modelTopology1,
weightSpecs: weightSpecs1,
weightData: weightData1,
format: 'layers-model',
generatedBy: 'TensorFlow.js v0.0.0',
convertedBy: null
};
var weightSpecs2 = [
{
name: 'dense/new_kernel',
shape: [5, 1],
dtype: 'float32',
},
{
name: 'dense/new_bias',
shape: [1],
dtype: 'float32',
}
];
beforeEach(indexed_db_1.deleteDatabase);
afterEach(indexed_db_1.deleteDatabase);
it('Save-load round trip', function () { return __awaiter(_this, void 0, void 0, function () {
var testStartDate, handler, saveResult, loadedArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
testStartDate = new Date();
handler = tf.io.getSaveHandlers('indexeddb://FooModel')[0];
return [4 /*yield*/, handler.save(artifacts1)];
case 1:
saveResult = _a.sent();
expect(saveResult.modelArtifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(testStartDate.getTime());
// Note: The following two assertions work only because there is no
// non-ASCII characters in `modelTopology1` and `weightSpecs1`.
expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs1).length);
expect(saveResult.modelArtifactsInfo.weightDataBytes)
.toEqual(weightData1.byteLength);
return [4 /*yield*/, handler.load()];
case 2:
loadedArtifacts = _a.sent();
expect(loadedArtifacts.modelTopology).toEqual(modelTopology1);
expect(loadedArtifacts.weightSpecs).toEqual(weightSpecs1);
expect(loadedArtifacts.format).toEqual('layers-model');
expect(loadedArtifacts.generatedBy).toEqual('TensorFlow.js v0.0.0');
expect(loadedArtifacts.convertedBy).toEqual(null);
test_util_1.expectArrayBuffersEqual(loadedArtifacts.weightData, weightData1);
return [2 /*return*/];
}
});
}); });
it('Save two models and load one', function () { return __awaiter(_this, void 0, void 0, function () {
var weightData2, artifacts2, handler1, saveResult1, handler2, saveResult2, loadedArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightData2 = new ArrayBuffer(24);
artifacts2 = {
modelTopology: modelTopology1,
weightSpecs: weightSpecs2,
weightData: weightData2,
};
handler1 = tf.io.getSaveHandlers('indexeddb://Model/1')[0];
return [4 /*yield*/, handler1.save(artifacts1)];
case 1:
saveResult1 = _a.sent();
// Note: The following two assertions work only because there is no
// non-ASCII characters in `modelTopology1` and `weightSpecs1`.
expect(saveResult1.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult1.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs1).length);
expect(saveResult1.modelArtifactsInfo.weightDataBytes)
.toEqual(weightData1.byteLength);
handler2 = tf.io.getSaveHandlers('indexeddb://Model/2')[0];
return [4 /*yield*/, handler2.save(artifacts2)];
case 2:
saveResult2 = _a.sent();
expect(saveResult2.modelArtifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(saveResult1.modelArtifactsInfo.dateSaved.getTime());
// Note: The following two assertions work only because there is
// no non-ASCII characters in `modelTopology1` and
// `weightSpecs1`.
expect(saveResult2.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult2.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs2).length);
expect(saveResult2.modelArtifactsInfo.weightDataBytes)
.toEqual(weightData2.byteLength);
return [4 /*yield*/, handler1.load()];
case 3:
loadedArtifacts = _a.sent();
expect(loadedArtifacts.modelTopology).toEqual(modelTopology1);
expect(loadedArtifacts.weightSpecs).toEqual(weightSpecs1);
test_util_1.expectArrayBuffersEqual(loadedArtifacts.weightData, weightData1);
return [2 /*return*/];
}
});
}); });
it('Loading nonexistent model fails', function () { return __awaiter(_this, void 0, void 0, function () {
var handler, err_1;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
handler = tf.io.getSaveHandlers('indexeddb://NonexistentModel')[0];
_a.label = 1;
case 1:
_a.trys.push([1, 3, , 4]);
return [4 /*yield*/, handler.load()];
case 2:
_a.sent();
fail('Loading nonexistent model from IndexedDB succeeded unexpectly');
return [3 /*break*/, 4];
case 3:
err_1 = _a.sent();
expect(err_1.message)
.toEqual('Cannot find model with path \'NonexistentModel\' in IndexedDB.');
return [3 /*break*/, 4];
case 4: return [2 /*return*/];
}
});
}); });
it('Null, undefined or empty modelPath throws Error', function () {
expect(function () { return indexed_db_1.browserIndexedDB(null); })
.toThrowError(/IndexedDB, modelPath must not be null, undefined or empty/);
expect(function () { return indexed_db_1.browserIndexedDB(undefined); })
.toThrowError(/IndexedDB, modelPath must not be null, undefined or empty/);
expect(function () { return indexed_db_1.browserIndexedDB(''); })
.toThrowError(/IndexedDB, modelPath must not be null, undefined or empty./);
});
it('router', function () {
expect(indexed_db_1.indexedDBRouter('indexeddb://bar') instanceof indexed_db_1.BrowserIndexedDB)
.toEqual(true);
expect(indexed_db_1.indexedDBRouter('localstorage://bar')).toBeNull();
expect(indexed_db_1.indexedDBRouter('qux')).toBeNull();
});
it('Manager: List models: 0 result', function () { return __awaiter(_this, void 0, void 0, function () {
var models;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, new indexed_db_1.BrowserIndexedDBManager().listModels()];
case 1:
models = _a.sent();
expect(models).toEqual({});
return [2 /*return*/];
}
});
}); });
it('Manager: List models: 1 result', function () { return __awaiter(_this, void 0, void 0, function () {
var handler, saveResult, models;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
handler = tf.io.getSaveHandlers('indexeddb://baz/QuxModel')[0];
return [4 /*yield*/, handler.save(artifacts1)];
case 1:
saveResult = _a.sent();
return [4 /*yield*/, new indexed_db_1.BrowserIndexedDBManager().listModels()];
case 2:
models = _a.sent();
expect(Object.keys(models).length).toEqual(1);
expect(models['baz/QuxModel'].modelTopologyType)
.toEqual(saveResult.modelArtifactsInfo.modelTopologyType);
expect(models['baz/QuxModel'].modelTopologyBytes)
.toEqual(saveResult.modelArtifactsInfo.modelTopologyBytes);
expect(models['baz/QuxModel'].weightSpecsBytes)
.toEqual(saveResult.modelArtifactsInfo.weightSpecsBytes);
expect(models['baz/QuxModel'].weightDataBytes)
.toEqual(saveResult.modelArtifactsInfo.weightDataBytes);
return [2 /*return*/];
}
});
}); });
it('Manager: List models: 2 results', function () { return __awaiter(_this, void 0, void 0, function () {
var handler1, saveResult1, handler2, saveResult2, models;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
handler1 = tf.io.getSaveHandlers('indexeddb://QuxModel')[0];
return [4 /*yield*/, handler1.save(artifacts1)];
case 1:
saveResult1 = _a.sent();
handler2 = tf.io.getSaveHandlers('indexeddb://repeat/QuxModel')[0];
return [4 /*yield*/, handler2.save(artifacts1)];
case 2:
saveResult2 = _a.sent();
return [4 /*yield*/, new indexed_db_1.BrowserIndexedDBManager().listModels()];
case 3:
models = _a.sent();
expect(Object.keys(models).length).toEqual(2);
expect(models['QuxModel'].modelTopologyType)
.toEqual(saveResult1.modelArtifactsInfo.modelTopologyType);
expect(models['QuxModel'].modelTopologyBytes)
.toEqual(saveResult1.modelArtifactsInfo.modelTopologyBytes);
expect(models['QuxModel'].weightSpecsBytes)
.toEqual(saveResult1.modelArtifactsInfo.weightSpecsBytes);
expect(models['QuxModel'].weightDataBytes)
.toEqual(saveResult1.modelArtifactsInfo.weightDataBytes);
expect(models['repeat/QuxModel'].modelTopologyType)
.toEqual(saveResult2.modelArtifactsInfo.modelTopologyType);
expect(models['repeat/QuxModel'].modelTopologyBytes)
.toEqual(saveResult2.modelArtifactsInfo.modelTopologyBytes);
expect(models['repeat/QuxModel'].weightSpecsBytes)
.toEqual(saveResult2.modelArtifactsInfo.weightSpecsBytes);
expect(models['repeat/QuxModel'].weightDataBytes)
.toEqual(saveResult2.modelArtifactsInfo.weightDataBytes);
return [2 /*return*/];
}
});
}); });
it('Manager: Successful removeModel', function () { return __awaiter(_this, void 0, void 0, function () {
var handler1, handler2, manager, models;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
handler1 = tf.io.getSaveHandlers('indexeddb://QuxModel')[0];
return [4 /*yield*/, handler1.save(artifacts1)];
case 1:
_a.sent();
handler2 = tf.io.getSaveHandlers('indexeddb://repeat/QuxModel')[0];
return [4 /*yield*/, handler2.save(artifacts1)];
case 2:
_a.sent();
manager = new indexed_db_1.BrowserIndexedDBManager();
return [4 /*yield*/, manager.removeModel('QuxModel')];
case 3:
_a.sent();
return [4 /*yield*/, manager.listModels()];
case 4:
models = _a.sent();
expect(Object.keys(models)).toEqual(['repeat/QuxModel']);
return [2 /*return*/];
}
});
}); });
it('Manager: Successful removeModel with URL scheme', function () { return __awaiter(_this, void 0, void 0, function () {
var handler1, handler2, manager, models;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
handler1 = tf.io.getSaveHandlers('indexeddb://QuxModel')[0];
return [4 /*yield*/, handler1.save(artifacts1)];
case 1:
_a.sent();
handler2 = tf.io.getSaveHandlers('indexeddb://repeat/QuxModel')[0];
return [4 /*yield*/, handler2.save(artifacts1)];
case 2:
_a.sent();
manager = new indexed_db_1.BrowserIndexedDBManager();
// Delete a model specified with a path that includes the
// indexeddb:// scheme prefix should work.
manager.removeModel('indexeddb://QuxModel');
return [4 /*yield*/, manager.listModels()];
case 3:
models = _a.sent();
expect(Object.keys(models)).toEqual(['repeat/QuxModel']);
return [2 /*return*/];
}
});
}); });
it('Manager: Failed removeModel', function () { return __awaiter(_this, void 0, void 0, function () {
var err_2;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
_a.trys.push([0, 2, , 3]);
// Attempt to delete a nonexistent model is expected to fail.
return [4 /*yield*/, new indexed_db_1.BrowserIndexedDBManager().removeModel('nonexistent')];
case 1:
// Attempt to delete a nonexistent model is expected to fail.
_a.sent();
fail('Deleting nonexistent model succeeded unexpectedly.');
return [3 /*break*/, 3];
case 2:
err_2 = _a.sent();
expect(err_2.message)
.toEqual('Cannot find model with path \'nonexistent\' in IndexedDB.');
return [3 /*break*/, 3];
case 3: return [2 /*return*/];
}
});
}); });
});
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