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/avg_pool" />
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18 | import { Tensor3D, Tensor4D } from '../tensor';
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19 | import { TensorLike } from '../types';
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20 | import * as conv_util from './conv_util';
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21 | /**
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22 | * Computes the 2D average pooling of an image.
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23 | *
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24 | * @param x The input tensor, of rank 4 or rank 3 of shape
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25 | * `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.
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26 | * @param filterSize The filter size: `[filterHeight, filterWidth]`. If
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27 | * `filterSize` is a single number, then `filterHeight == filterWidth`.
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28 | * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If
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29 | * `strides` is a single number, then `strideHeight == strideWidth`.
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30 | * @param pad The type of padding algorithm:
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31 | * - `same` and stride 1: output will be of same size as input,
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32 | * regardless of filter size.
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33 | * - `valid`: output will be smaller than input if filter is larger
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34 | * than 1x1.
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35 | * - For more info, see this guide:
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36 | * [https://www.tensorflow.org/api_docs/python/tf/nn/convolution](
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37 | * https://www.tensorflow.org/api_docs/python/tf/nn/convolution)
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38 | * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. If none is
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39 | * provided, it will default to truncate.
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40 | */
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41 | declare function avgPool_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, filterSize: [number, number] | number, strides: [number, number] | number, pad: 'valid' | 'same' | number | conv_util.ExplicitPadding, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T;
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42 | export declare const avgPool: typeof avgPool_;
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43 | export {};
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