/**
 * @license
 * Copyright 2018 Google Inc. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import { Tensor3D, Tensor4D } from '../tensor';
import { TensorLike } from '../types';
/**
 * Normalizes the activation of a local neighborhood across or within
 * channels.
 *
 * @param x The input tensor. The 4-D input tensor is treated as a 3-D array
 *     of 1D vectors (along the last dimension), and each vector is
 *     normalized independently.
 * @param depthRadius The number of adjacent channels in the 1D normalization
 *     window.
 * @param bias A constant bias term for the basis.
 * @param alpha A scale factor, usually positive.
 * @param beta An exponent.
 */
/** @doc {heading: 'Operations', subheading: 'Normalization'} */
declare function localResponseNormalization_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, depthRadius?: number, bias?: number, alpha?: number, beta?: number): T;
export declare const localResponseNormalization: typeof localResponseNormalization_;
export {};
