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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @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. * ============================================================================= */ /** * Unit tests for indexed_db.ts. */ import * as tf from '../index'; import { BROWSER_ENVS, describeWithFlags } from '../jasmine_util'; import { expectArrayBuffersEqual } from '../test_util'; import { browserIndexedDB, BrowserIndexedDB, BrowserIndexedDBManager, deleteDatabase, indexedDBRouter } from './indexed_db'; describeWithFlags('IndexedDB', BROWSER_ENVS, () => { // Test data. const 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' }; const weightSpecs1 = [ { name: 'dense/kernel', shape: [3, 1], dtype: 'float32', }, { name: 'dense/bias', shape: [1], dtype: 'float32', } ]; const weightData1 = new ArrayBuffer(16); const artifacts1 = { modelTopology: modelTopology1, weightSpecs: weightSpecs1, weightData: weightData1, format: 'layers-model', generatedBy: 'TensorFlow.js v0.0.0', convertedBy: null, modelInitializer: {} }; const weightSpecs2 = [ { name: 'dense/new_kernel', shape: [5, 1], dtype: 'float32', }, { name: 'dense/new_bias', shape: [1], dtype: 'float32', } ]; beforeEach(deleteDatabase); afterEach(deleteDatabase); it('Save-load round trip', async () => { const testStartDate = new Date(); const handler = tf.io.getSaveHandlers('indexeddb://FooModel')[0]; const saveResult = await handler.save(artifacts1); 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); const loadedArtifacts = await handler.load(); 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); expect(loadedArtifacts.modelInitializer).toEqual({}); expectArrayBuffersEqual(loadedArtifacts.weightData, weightData1); }); it('Save two models and load one', async () => { const weightData2 = new ArrayBuffer(24); const artifacts2 = { modelTopology: modelTopology1, weightSpecs: weightSpecs2, weightData: weightData2, }; const handler1 = tf.io.getSaveHandlers('indexeddb://Model/1')[0]; const saveResult1 = await handler1.save(artifacts1); // 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); const handler2 = tf.io.getSaveHandlers('indexeddb://Model/2')[0]; const saveResult2 = await handler2.save(artifacts2); 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); const loadedArtifacts = await handler1.load(); expect(loadedArtifacts.modelTopology).toEqual(modelTopology1); expect(loadedArtifacts.weightSpecs).toEqual(weightSpecs1); expectArrayBuffersEqual(loadedArtifacts.weightData, weightData1); }); it('Loading nonexistent model fails', async () => { const handler = tf.io.getSaveHandlers('indexeddb://NonexistentModel')[0]; try { await handler.load(); fail('Loading nonexistent model from IndexedDB succeeded unexpectly'); } catch (err) { expect(err.message) .toEqual('Cannot find model with path \'NonexistentModel\' in IndexedDB.'); } }); it('Null, undefined or empty modelPath throws Error', () => { expect(() => browserIndexedDB(null)) .toThrowError(/IndexedDB, modelPath must not be null, undefined or empty/); expect(() => browserIndexedDB(undefined)) .toThrowError(/IndexedDB, modelPath must not be null, undefined or empty/); expect(() => browserIndexedDB('')) .toThrowError(/IndexedDB, modelPath must not be null, undefined or empty./); }); it('router', () => { expect(indexedDBRouter('indexeddb://bar') instanceof BrowserIndexedDB) .toEqual(true); expect(indexedDBRouter('localstorage://bar')).toBeNull(); expect(indexedDBRouter('qux')).toBeNull(); }); it('Manager: List models: 0 result', async () => { // Before any model is saved, listModels should return empty result. const models = await new BrowserIndexedDBManager().listModels(); expect(models).toEqual({}); }); it('Manager: List models: 1 result', async () => { const handler = tf.io.getSaveHandlers('indexeddb://baz/QuxModel')[0]; const saveResult = await handler.save(artifacts1); // After successful saving, there should be one model. const models = await new BrowserIndexedDBManager().listModels(); 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); }); it('Manager: List models: 2 results', async () => { // First, save a model. const handler1 = tf.io.getSaveHandlers('indexeddb://QuxModel')[0]; const saveResult1 = await handler1.save(artifacts1); // Then, save the model under another path. const handler2 = tf.io.getSaveHandlers('indexeddb://repeat/QuxModel')[0]; const saveResult2 = await handler2.save(artifacts1); // After successful saving, there should be two models. const models = await new BrowserIndexedDBManager().listModels(); 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); }); it('Manager: Successful removeModel', async () => { // First, save a model. const handler1 = tf.io.getSaveHandlers('indexeddb://QuxModel')[0]; await handler1.save(artifacts1); // Then, save the model under another path. const handler2 = tf.io.getSaveHandlers('indexeddb://repeat/QuxModel')[0]; await handler2.save(artifacts1); // After successful saving, delete the first save, and then // `listModel` should give only one result. const manager = new BrowserIndexedDBManager(); await manager.removeModel('QuxModel'); const models = await manager.listModels(); expect(Object.keys(models)).toEqual(['repeat/QuxModel']); }); it('Manager: Successful removeModel with URL scheme', async () => { // First, save a model. const handler1 = tf.io.getSaveHandlers('indexeddb://QuxModel')[0]; await handler1.save(artifacts1); // Then, save the model under another path. const handler2 = tf.io.getSaveHandlers('indexeddb://repeat/QuxModel')[0]; await handler2.save(artifacts1); // After successful saving, delete the first save, and then // `listModel` should give only one result. const manager = new BrowserIndexedDBManager(); // Delete a model specified with a path that includes the // indexeddb:// scheme prefix should work. manager.removeModel('indexeddb://QuxModel'); const models = await manager.listModels(); expect(Object.keys(models)).toEqual(['repeat/QuxModel']); }); it('Manager: Failed removeModel', async () => { try { // Attempt to delete a nonexistent model is expected to fail. await new BrowserIndexedDBManager().removeModel('nonexistent'); fail('Deleting nonexistent model succeeded unexpectedly.'); } catch (err) { expect(err.message) .toEqual('Cannot find model with path \'nonexistent\' in IndexedDB.'); } }); }); //# sourceMappingURL=indexed_db_test.js.map