202 lines
8.2 KiB
TypeScript
202 lines
8.2 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 {CalculatorGraphConfig} from '../../../../framework/calculator_pb';
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import {CalculatorOptions} from '../../../../framework/calculator_options_pb';
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import {AudioEmbedderGraphOptions as AudioEmbedderGraphOptionsProto} from '../../../../tasks/cc/audio/audio_embedder/proto/audio_embedder_graph_options_pb';
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import {EmbeddingResult} from '../../../../tasks/cc/components/containers/proto/embeddings_pb';
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import {BaseOptions as BaseOptionsProto} from '../../../../tasks/cc/core/proto/base_options_pb';
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import {AudioTaskRunner} from '../../../../tasks/web/audio/core/audio_task_runner';
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import {convertEmbedderOptionsToProto} from '../../../../tasks/web/components/processors/embedder_options';
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import {convertFromEmbeddingResultProto} from '../../../../tasks/web/components/processors/embedder_result';
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import {WasmLoaderOptions} from '../../../../tasks/web/core/wasm_loader_options';
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import {createMediaPipeLib, FileLocator} from '../../../../web/graph_runner/graph_runner';
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// Placeholder for internal dependency on trusted resource url
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import {AudioEmbedderOptions} from './audio_embedder_options';
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import {AudioEmbedderResult} from './audio_embedder_result';
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export * from './audio_embedder_options';
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export * from './audio_embedder_result';
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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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const AUDIO_STREAM = 'audio_in';
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const SAMPLE_RATE_STREAM = 'sample_rate';
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const EMBEDDINGS_STREAM = 'embeddings_out';
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const TIMESTAMPED_EMBEDDINGS_STREAM = 'timestamped_embeddings_out';
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const AUDIO_EMBEDDER_CALCULATOR =
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'mediapipe.tasks.audio.audio_embedder.AudioEmbedderGraph';
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/** Performs embedding extraction on audio. */
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export class AudioEmbedder extends AudioTaskRunner<AudioEmbedderResult[]> {
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private embeddingResults: AudioEmbedderResult[] = [];
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private readonly options = new AudioEmbedderGraphOptionsProto();
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/**
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* Initializes the Wasm runtime and creates a new audio embedder from the
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* provided options.
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* @param wasmLoaderOptions A configuration object that provides the location
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* of the Wasm binary and its loader.
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* @param audioEmbedderOptions The options for the audio embedder. Note that
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* either a path to the TFLite model or the model itself needs to be
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* provided (via `baseOptions`).
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*/
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static async createFromOptions(
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wasmLoaderOptions: WasmLoaderOptions,
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audioEmbedderOptions: AudioEmbedderOptions): Promise<AudioEmbedder> {
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// Create a file locator based on the loader options
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const fileLocator: FileLocator = {
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locateFile() {
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// The only file we load is the Wasm binary
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return wasmLoaderOptions.wasmBinaryPath.toString();
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}
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};
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const embedder = await createMediaPipeLib(
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AudioEmbedder, wasmLoaderOptions.wasmLoaderPath,
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/* assetLoaderScript= */ undefined,
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/* glCanvas= */ undefined, fileLocator);
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await embedder.setOptions(audioEmbedderOptions);
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return embedder;
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}
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/**
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* Initializes the Wasm runtime and creates a new audio embedder based on the
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* provided model asset buffer.
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* @param wasmLoaderOptions A configuration object that provides the location
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* of the Wasm binary and its loader.
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* @param modelAssetBuffer A binary representation of the TFLite model.
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*/
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static createFromModelBuffer(
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wasmLoaderOptions: WasmLoaderOptions,
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modelAssetBuffer: Uint8Array): Promise<AudioEmbedder> {
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return AudioEmbedder.createFromOptions(
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wasmLoaderOptions, {baseOptions: {modelAssetBuffer}});
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}
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/**
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* Initializes the Wasm runtime and creates a new audio embedder based on the
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* path to the model asset.
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* @param wasmLoaderOptions A configuration object that provides the location
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* of the Wasm binary and its loader.
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* @param modelAssetPath The path to the TFLite model.
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*/
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static async createFromModelPath(
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wasmLoaderOptions: WasmLoaderOptions,
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modelAssetPath: string): Promise<AudioEmbedder> {
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const response = await fetch(modelAssetPath.toString());
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const graphData = await response.arrayBuffer();
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return AudioEmbedder.createFromModelBuffer(
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wasmLoaderOptions, new Uint8Array(graphData));
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}
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protected override get baseOptions(): BaseOptionsProto|undefined {
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return this.options.getBaseOptions();
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}
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protected override set baseOptions(proto: BaseOptionsProto|undefined) {
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this.options.setBaseOptions(proto);
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}
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/**
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* Sets new options for the audio embedder.
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*
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* Calling `setOptions()` with a subset of options only affects those options.
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* You can reset an option back to its default value by explicitly setting it
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* to `undefined`.
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*
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* @param options The options for the audio embedder.
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*/
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override async setOptions(options: AudioEmbedderOptions): Promise<void> {
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await super.setOptions(options);
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this.options.setEmbedderOptions(convertEmbedderOptionsToProto(
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options, this.options.getEmbedderOptions()));
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this.refreshGraph();
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}
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/**
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* Performs embeding extraction on the provided audio clip and waits
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* synchronously for the response.
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*
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* @param audioData An array of raw audio capture data, like from a call to
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* `getChannelData()` on an AudioBuffer.
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* @param sampleRate The sample rate in Hz of the provided audio data. If not
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* set, defaults to the sample rate set via `setDefaultSampleRate()` or
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* `48000` if no custom default was set.
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* @return The embedding resuls of the audio
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*/
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embed(audioData: Float32Array, sampleRate?: number): AudioEmbedderResult[] {
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return this.processAudioClip(audioData, sampleRate);
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}
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protected override process(
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audioData: Float32Array, sampleRate: number,
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timestampMs: number): AudioEmbedderResult[] {
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this.addDoubleToStream(sampleRate, SAMPLE_RATE_STREAM, timestampMs);
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this.addAudioToStreamWithShape(audioData, /* numChannels= */ 1, /* numSamples= */ audioData.length, AUDIO_STREAM, timestampMs);
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this.embeddingResults = [];
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this.finishProcessing();
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return this.embeddingResults;
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}
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/** Updates the MediaPipe graph configuration. */
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private refreshGraph(): void {
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const graphConfig = new CalculatorGraphConfig();
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graphConfig.addInputStream(AUDIO_STREAM);
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graphConfig.addInputStream(SAMPLE_RATE_STREAM);
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graphConfig.addOutputStream(EMBEDDINGS_STREAM);
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graphConfig.addOutputStream(TIMESTAMPED_EMBEDDINGS_STREAM);
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const calculatorOptions = new CalculatorOptions();
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calculatorOptions.setExtension(
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AudioEmbedderGraphOptionsProto.ext, this.options);
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const embedderNode = new CalculatorGraphConfig.Node();
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embedderNode.setCalculator(AUDIO_EMBEDDER_CALCULATOR);
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embedderNode.addInputStream('AUDIO:' + AUDIO_STREAM);
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embedderNode.addInputStream('SAMPLE_RATE:' + SAMPLE_RATE_STREAM);
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embedderNode.addOutputStream('EMBEDDINGS:' + EMBEDDINGS_STREAM);
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embedderNode.addOutputStream(
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'TIMESTAMPED_EMBEDDINGS:' + TIMESTAMPED_EMBEDDINGS_STREAM);
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embedderNode.setOptions(calculatorOptions);
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graphConfig.addNode(embedderNode);
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this.attachProtoListener(EMBEDDINGS_STREAM, binaryProto => {
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const embeddingResult = EmbeddingResult.deserializeBinary(binaryProto);
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this.embeddingResults.push(
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convertFromEmbeddingResultProto(embeddingResult));
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});
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this.attachProtoVectorListener(TIMESTAMPED_EMBEDDINGS_STREAM, data => {
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for (const binaryProto of data) {
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const embeddingResult = EmbeddingResult.deserializeBinary(binaryProto);
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this.embeddingResults.push(
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convertFromEmbeddingResultProto(embeddingResult));
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}
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});
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const binaryGraph = graphConfig.serializeBinary();
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this.setGraph(new Uint8Array(binaryGraph), /* isBinary= */ true);
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}
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}
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