/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/local_response_normalization" />
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import { Tensor3D, Tensor4D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Normalizes the activation of a local neighborhood across or within
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* channels.
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*
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* @param x The input tensor. The 4-D input tensor is treated as a 3-D array
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* of 1D vectors (along the last dimension), and each vector is
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* normalized independently.
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* @param depthRadius The number of adjacent channels in the 1D normalization
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* window.
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* @param bias A constant bias term for the basis.
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* @param alpha A scale factor, usually positive.
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* @param beta An exponent.
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*
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* @doc {heading: 'Operations', subheading: 'Normalization'}
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*/
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declare function localResponseNormalization_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, depthRadius?: number, bias?: number, alpha?: number, beta?: number): T;
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export declare const localResponseNormalization: typeof localResponseNormalization_;
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export {};
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