@thi.ng/tensors/convolve.d.ts

0D/1D/2D/3D/4D tensors with extensible polymorphic operations and customizable storage

import type { ITensor } from "./api.js";
/**
 * Tensor convolution (without broadcasting support).
 *
 * @remarks
 * The output tensor has the same shape as domain `a`. Edge values in `a` will
 * be repeated. If `out` is null, a new tensor will be created using `a`'s
 * storage backend.
 *
 * References:
 *
 * - https://en.wikipedia.org/wiki/Convolution
 * - https://en.wikipedia.org/wiki/Kernel_(image_processing)#Convolution
 *
 * @param out - output tensor
 * @param a - input tensor
 * @param k - kernel tensor
 */
export declare const convolve: import("./api.js").MultiTensorOpImpl<(<T extends ITensor>(out: T | null, a: T, k: T) => T)>;
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