1 | /**
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2 | * @license
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3 | * Copyright 2020 Google LLC. All Rights Reserved.
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4 | * Licensed under the Apache License, Version 2.0 (the "License");
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5 | * you may not use this file except in compliance with the License.
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6 | * You may obtain a copy of the License at
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7 | *
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8 | * http://www.apache.org/licenses/LICENSE-2.0
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9 | *
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10 | * Unless required by applicable law or agreed to in writing, software
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11 | * distributed under the License is distributed on an "AS IS" BASIS,
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12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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13 | * See the License for the specific language governing permissions and
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14 | * limitations under the License.
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15 | * =============================================================================
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16 | */
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17 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/local_response_normalization" />
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18 | import { Tensor3D, Tensor4D } from '../tensor';
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19 | import { TensorLike } from '../types';
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20 | /**
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21 | * Normalizes the activation of a local neighborhood across or within
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22 | * channels.
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23 | *
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24 | * @param x The input tensor. The 4-D input tensor is treated as a 3-D array
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25 | * of 1D vectors (along the last dimension), and each vector is
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26 | * normalized independently.
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27 | * @param depthRadius The number of adjacent channels in the 1D normalization
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28 | * window.
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29 | * @param bias A constant bias term for the basis.
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30 | * @param alpha A scale factor, usually positive.
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31 | * @param beta An exponent.
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32 | *
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33 | * @doc {heading: 'Operations', subheading: 'Normalization'}
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34 | */
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35 | declare function localResponseNormalization_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, depthRadius?: number, bias?: number, alpha?: number, beta?: number): T;
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36 | export declare const localResponseNormalization: typeof localResponseNormalization_;
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37 | export {};
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