186 lines
6.7 KiB
TypeScript
186 lines
6.7 KiB
TypeScript
/**
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* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
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*
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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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import 'jasmine';
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// Placeholder for internal dependency on encodeByteArray
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import {CalculatorGraphConfig} from '../../../../framework/calculator_pb';
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import {Embedding, EmbeddingResult as EmbeddingResultProto, FloatEmbedding} from '../../../../tasks/cc/components/containers/proto/embeddings_pb';
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import {addJasmineCustomFloatEqualityTester, createSpyWasmModule, MediapipeTasksFake, SpyWasmModule, verifyGraph, verifyListenersRegistered} from '../../../../tasks/web/core/task_runner_test_utils';
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import {AudioEmbedder, AudioEmbedderResult} from './audio_embedder';
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// The OSS JS API does not support the builder pattern.
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// tslint:disable:jspb-use-builder-pattern
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class AudioEmbedderFake extends AudioEmbedder implements MediapipeTasksFake {
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lastSampleRate: number|undefined;
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calculatorName = 'mediapipe.tasks.audio.audio_embedder.AudioEmbedderGraph';
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graph: CalculatorGraphConfig|undefined;
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attachListenerSpies: jasmine.Spy[] = [];
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fakeWasmModule: SpyWasmModule;
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protoListener: ((binaryProto: Uint8Array) => void)|undefined;
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protoVectorListener: ((binaryProtos: Uint8Array[]) => void)|undefined;
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constructor() {
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super(createSpyWasmModule(), /* glCanvas= */ null);
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this.fakeWasmModule =
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this.graphRunner.wasmModule as unknown as SpyWasmModule;
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this.attachListenerSpies[0] =
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spyOn(this.graphRunner, 'attachProtoListener')
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.and.callFake((stream, listener) => {
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expect(stream).toEqual('embeddings_out');
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this.protoListener = listener;
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});
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this.attachListenerSpies[1] =
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spyOn(this.graphRunner, 'attachProtoVectorListener')
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.and.callFake((stream, listener) => {
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expect(stream).toEqual('timestamped_embeddings_out');
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this.protoVectorListener = listener;
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});
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spyOn(this.graphRunner, 'setGraph').and.callFake(binaryGraph => {
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this.graph = CalculatorGraphConfig.deserializeBinary(binaryGraph);
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});
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spyOn(this.graphRunner, 'addDoubleToStream').and.callFake(sampleRate => {
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this.lastSampleRate = sampleRate;
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});
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spyOn(this.graphRunner, 'addAudioToStreamWithShape');
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}
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}
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describe('AudioEmbedder', () => {
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let audioEmbedder: AudioEmbedderFake;
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beforeEach(async () => {
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addJasmineCustomFloatEqualityTester();
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audioEmbedder = new AudioEmbedderFake();
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await audioEmbedder.setOptions({}); // Initialize graph
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});
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it('initializes graph', () => {
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verifyGraph(audioEmbedder);
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verifyListenersRegistered(audioEmbedder);
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});
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it('reloads graph when settings are changed', async () => {
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await audioEmbedder.setOptions({quantize: true});
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verifyGraph(audioEmbedder, [['embedderOptions', 'quantize'], true]);
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verifyListenersRegistered(audioEmbedder);
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await audioEmbedder.setOptions({quantize: undefined});
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verifyGraph(audioEmbedder, [['embedderOptions', 'quantize'], undefined]);
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verifyListenersRegistered(audioEmbedder);
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});
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it('can use custom models', async () => {
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const newModel = new Uint8Array([0, 1, 2, 3, 4]);
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const newModelBase64 = Buffer.from(newModel).toString('base64');
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await audioEmbedder.setOptions({
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baseOptions: {
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modelAssetBuffer: newModel,
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}
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});
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verifyGraph(
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audioEmbedder,
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/* expectedCalculatorOptions= */ undefined,
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/* expectedBaseOptions= */[
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'modelAsset', {
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fileContent: newModelBase64,
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fileName: undefined,
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fileDescriptorMeta: undefined,
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filePointerMeta: undefined
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}
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]);
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});
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it('combines options', async () => {
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await audioEmbedder.setOptions({quantize: true});
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await audioEmbedder.setOptions({l2Normalize: true});
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verifyGraph(
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audioEmbedder,
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['embedderOptions', {'quantize': true, 'l2Normalize': true}]);
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});
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it('uses a sample rate of 48000 by default', async () => {
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audioEmbedder.embed(new Float32Array([]));
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expect(audioEmbedder.lastSampleRate).toEqual(48000);
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});
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it('uses default sample rate if none provided', async () => {
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audioEmbedder.setDefaultSampleRate(16000);
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audioEmbedder.embed(new Float32Array([]));
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expect(audioEmbedder.lastSampleRate).toEqual(16000);
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});
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it('uses custom sample rate if provided', async () => {
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audioEmbedder.setDefaultSampleRate(16000);
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audioEmbedder.embed(new Float32Array([]), 44100);
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expect(audioEmbedder.lastSampleRate).toEqual(44100);
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});
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describe('transforms results', () => {
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const embedding = new Embedding();
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embedding.setHeadIndex(1);
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embedding.setHeadName('headName');
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const floatEmbedding = new FloatEmbedding();
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floatEmbedding.setValuesList([0.1, 0.9]);
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embedding.setFloatEmbedding(floatEmbedding);
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const resultProto = new EmbeddingResultProto();
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resultProto.addEmbeddings(embedding);
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function validateEmbeddingResult(
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expectedEmbeddignResult: AudioEmbedderResult[]) {
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expect(expectedEmbeddignResult.length).toEqual(1);
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const [embeddingResult] = expectedEmbeddignResult;
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expect(embeddingResult.embeddings.length).toEqual(1);
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expect(embeddingResult.embeddings[0])
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.toEqual(
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{floatEmbedding: [0.1, 0.9], headIndex: 1, headName: 'headName'});
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}
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it('from embeddings strem', async () => {
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audioEmbedder.fakeWasmModule._waitUntilIdle.and.callFake(() => {
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verifyListenersRegistered(audioEmbedder);
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// Pass the test data to our listener
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audioEmbedder.protoListener!(resultProto.serializeBinary());
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});
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// Invoke the audio embedder
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const embeddingResults = audioEmbedder.embed(new Float32Array([]));
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validateEmbeddingResult(embeddingResults);
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});
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it('from timestamped embeddgins stream', async () => {
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audioEmbedder.fakeWasmModule._waitUntilIdle.and.callFake(() => {
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verifyListenersRegistered(audioEmbedder);
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// Pass the test data to our listener
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audioEmbedder.protoVectorListener!([resultProto.serializeBinary()]);
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});
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// Invoke the audio embedder
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const embeddingResults = audioEmbedder.embed(new Float32Array([]), 42);
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validateEmbeddingResult(embeddingResults);
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});
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});
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});
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