react-native-fast-tflite/lib/typescript/specs/Tflite.nitro.d.ts

High-performance TensorFlow Lite library for React Native, built with Nitro Modules

import type { HybridObject } from 'react-native-nitro-modules';
export type TensorflowModelDelegate = 'metal' | 'core-ml' | 'nnapi' | 'android-gpu';
export type TensorDataType = 'string' | 'float16' | 'float32' | 'float64' | 'bfloat16' | 'int4' | 'int8' | 'int16' | 'int32' | 'int64' | 'uint8' | 'uint16' | 'uint32' | 'uint64' | 'bool' | 'complex64' | 'complex128' | 'resource' | 'variant' | 'none';
export interface Tensor {
    name: string;
    dataType: TensorDataType;
    shape: number[];
}
export interface TfliteModel extends HybridObject<{
    ios: 'c++';
    android: 'c++';
}> {
    readonly delegates: TensorflowModelDelegate[];
    readonly inputs: Tensor[];
    readonly outputs: Tensor[];
    runSync(input: ArrayBuffer[]): ArrayBuffer[];
    run(input: ArrayBuffer[]): Promise<ArrayBuffer[]>;
}
export interface TfliteModule extends HybridObject<{
    ios: 'c++';
    android: 'c++';
}> {
    /**
     * Create a new {@linkcode TfliteModel} with the given
     * {@linkcode modelData} (a binary representation of the
     * TFLite model), and optionally a list of hardware
     * accelerating {@linkcode TensorflowModelDelegate}s.
     *
     * If {@linkcode delegates} is empty (`[]`), the default
     * CPU delegate will be used.
     */
    createModel(modelData: ArrayBuffer, delegates: TensorflowModelDelegate[]): TfliteModel;
}
export interface AssetLoader extends HybridObject<{
    ios: 'swift';
    android: 'kotlin';
}> {
    /**
     * Load an asset from the given {@linkcode path} and
     * return its contents as an {@linkcode ArrayBuffer}.
     */
    loadAsset(path: string): Promise<ArrayBuffer>;
}
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