react-native-executorch/lib/typescript/index.d.ts

An easy way to run AI models in React Native with ExecuTorch

import { ResourceFetcherAdapter } from './utils/ResourceFetcher';
import { Triple } from './types/common';
import { LLMCapability } from './types/llm';
/**
 * Configuration that goes to the `initExecutorch`.
 * You can pass either bare React Native or Expo configuration.
 * @category Utilities - General
 */
export interface ExecutorchConfig {
    resourceFetcher: ResourceFetcherAdapter;
}
/**
 * Function that setups the provided resource fetcher.
 * @category Utilities - General
 * @param config - Configuration that you want to use in resource fetching.
 */
export declare function initExecutorch(config: ExecutorchConfig): void;
/**
 * Function that cleans current setup of fetching resources.
 * @category Utilities - General
 */
export declare function cleanupExecutorch(): void;
declare global {
    var loadStyleTransfer: (source: string) => Promise<any>;
    var loadSemanticSegmentation: (source: string, normMean: Triple<number> | [], normStd: Triple<number> | [], allClasses: string[]) => Promise<any>;
    var loadInstanceSegmentation: (source: string, normMean: Triple<number> | [], normStd: Triple<number> | [], applyNMS: boolean) => Promise<any>;
    var loadClassification: (source: string, normMean: Triple<number> | [], normStd: Triple<number> | [], labelNames: string[]) => Promise<any>;
    var loadObjectDetection: (source: string, normMean: Triple<number> | [], normStd: Triple<number> | [], labelNames: string[]) => Promise<any>;
    var loadExecutorchModule: (source: string) => Promise<any>;
    var loadTokenizerModule: (source: string) => Promise<any>;
    var loadImageEmbeddings: (source: string) => Promise<any>;
    var loadVAD: (source: string) => Promise<any>;
    var loadTextEmbeddings: (modelSource: string, tokenizerSource: string) => Promise<any>;
    var loadLLM: (modelSource: string, tokenizerSource: string, capabilities: readonly LLMCapability[]) => Promise<any>;
    var loadTextToImage: (tokenizerSource: string, encoderSource: string, unetSource: string, decoderSource: string, schedulerBetaStart: number, schedulerBetaEnd: number, schedulerNumTrainTimesteps: number, schedulerStepsOffset: number) => Promise<any>;
    var loadSpeechToText: (modelName: string, modelSource: string, tokenizerSource: string) => Promise<any>;
    var loadTextToSpeechKokoro: (lang: string, taggerData: string, phonemizerData: string, durationPredictorSource: string, synthesizerSource: string, voice: string) => Promise<any>;
    var loadOCR: (detectorSource: string, recognizer: string, symbols: string) => Promise<any>;
    var loadVerticalOCR: (detectorSource: string, recognizer: string, symbols: string, independentCharacters?: boolean) => Promise<any>;
    var __rne_isEmulator: boolean;
}
export * from './hooks/computer_vision/useClassification';
export * from './hooks/computer_vision/useObjectDetection';
export * from './hooks/computer_vision/useStyleTransfer';
export * from './hooks/computer_vision/useSemanticSegmentation';
export * from './hooks/computer_vision/useInstanceSegmentation';
export * from './hooks/computer_vision/useOCR';
export * from './hooks/computer_vision/useVerticalOCR';
export * from './hooks/computer_vision/useImageEmbeddings';
export * from './hooks/computer_vision/useTextToImage';
export * from './hooks/natural_language_processing/useLLM';
export * from './hooks/natural_language_processing/useSpeechToText';
export * from './hooks/natural_language_processing/useTextToSpeech';
export * from './hooks/natural_language_processing/useTextEmbeddings';
export * from './hooks/natural_language_processing/useTokenizer';
export * from './hooks/natural_language_processing/useVAD';
export * from './hooks/general/useExecutorchModule';
export * from './modules/computer_vision/ClassificationModule';
export * from './modules/computer_vision/ObjectDetectionModule';
export * from './modules/computer_vision/StyleTransferModule';
export * from './modules/computer_vision/SemanticSegmentationModule';
export * from './modules/computer_vision/InstanceSegmentationModule';
export * from './modules/computer_vision/OCRModule';
export * from './modules/computer_vision/VerticalOCRModule';
export * from './modules/computer_vision/ImageEmbeddingsModule';
export * from './modules/computer_vision/TextToImageModule';
export * from './modules/natural_language_processing/LLMModule';
export * from './modules/natural_language_processing/SpeechToTextModule';
export * from './modules/natural_language_processing/TextToSpeechModule';
export * from './modules/natural_language_processing/TextEmbeddingsModule';
export * from './modules/natural_language_processing/TokenizerModule';
export * from './modules/natural_language_processing/VADModule';
export * from './modules/general/ExecutorchModule';
export * from './utils/ResourceFetcher';
export * from './utils/ResourceFetcherUtils';
export * from './utils/llm';
export * from './common/Logger';
export * from './utils/llms/context_strategy';
export * from './types/objectDetection';
export * from './types/ocr';
export * from './types/semanticSegmentation';
export * from './types/instanceSegmentation';
export * from './types/llm';
export * from './types/vad';
export * from './types/common';
export * from './types/stt';
export * from './types/textEmbeddings';
export * from './types/tts';
export * from './types/tokenizer';
export * from './types/executorchModule';
export * from './types/classification';
export * from './types/imageEmbeddings';
export * from './types/styleTransfer';
export * from './types/tti';
export * from './constants/commonVision';
export * from './constants/classification';
export * from './constants/modelUrls';
export * from './constants/ocr/models';
export * from './constants/tts/models';
export * from './constants/tts/voices';
export * from './constants/llmDefaults';
export { RnExecutorchError } from './errors/errorUtils';
export { RnExecutorchErrorCode } from './errors/ErrorCodes';
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