| 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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