brain.js
Version:
Neural networks in JavaScript
37 lines • 1.84 kB
TypeScript
/// <reference types="jest" />
import { IGPUTextureSettings, Texture } from 'gpu.js';
import { ILayerTemplate, IPraxis, IPraxisSettings } from '../src/praxis/base-praxis';
import { BaseLayer, ILayerSettings, ILayer } from '../src/layer/base-layer';
export declare const xorTrainingData: {
input: number[];
output: number[];
}[];
export declare function onePlusPlus3D(width: number, height: number, depth: number): number[][][];
export declare function onePlusPlus2D(width: number, height: number): number[][];
export declare function zero3D(width: number, height: number, depth: number): number[][][];
export declare function zero2D(width: number, height: number): number[][];
export declare function allDeltas(model: any, fn: any): void;
export declare function allMatrices(model: any, fn: any): void;
export declare function shave(value: Float32Array): Float32Array;
export declare function shave2D(value: Float32Array[]): Float32Array[];
export declare function shave3D(value: Float32Array[][]): Float32Array[][];
export declare function expectFunction(source: string, fn: Function): void;
export declare class TestLayer extends BaseLayer {
get width(): number;
get height(): number;
get depth(): number;
constructor(settings: ILayerSettings);
}
export declare function mockLayer(settings?: ILayerSettings): ILayer;
export declare function mockTexture(settings?: Partial<IGPUTextureSettings>): Texture;
export declare function mockPraxis(layerTemplate: ILayerTemplate, praxisSettings?: Partial<IPraxisSettings>): IPraxis;
export interface IWithCompareKernel {
compareKernel: jest.Mock;
}
export interface IWithPredictKernel {
predictKernel: jest.Mock;
}
export interface IWithPredictKernelMap {
predictKernelMap: jest.Mock;
}
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