@tensorflow/tfjs-core/dist/ops/reduction_ops.d.ts

Hardware-accelerated JavaScript library for machine intelligence

import { Tensor } from '../tensor';
import { TensorLike } from '../types';
declare function logSumExp_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function sum_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function prod_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function mean_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function min_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function max_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function argMin_<T extends Tensor>(x: Tensor | TensorLike, axis?: number): T;
declare function argMax_<T extends Tensor>(x: Tensor | TensorLike, axis?: number): T;
declare function all_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function any_<T extends Tensor>(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): T;
declare function moments_(x: Tensor | TensorLike, axis?: number | number[], keepDims?: boolean): {
    mean: Tensor;
    variance: Tensor;
};
export declare const all: typeof all_;
export declare const any: typeof any_;
export declare const argMax: typeof argMax_;
export declare const argMin: typeof argMin_;
export declare const logSumExp: typeof logSumExp_;
export declare const max: typeof max_;
export declare const mean: typeof mean_;
export declare const min: typeof min_;
export declare const moments: typeof moments_;
export declare const sum: typeof sum_;
export declare const prod: typeof prod_;
export {};