/**
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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/avg_pool_3d_grad" />
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import { Tensor4D, Tensor5D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes the backprop of a 3d avg pool.
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*
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* @param dy The dy error, of rank 5 of shape
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* [batchSize, depth, height, width, channels].
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* assumed.
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* @param input The original input image, of rank 5 or rank4 of shape
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* [batchSize, depth, height, width, channels].
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* @param filterSize The filter size:
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* `[filterDepth, filterHeight, filterWidth]`.
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* `filterSize` is a single number,
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* then `filterDepth == filterHeight == filterWidth`.
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* @param strides The strides of the pooling:
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* `[strideDepth, strideHeight, strideWidth]`. If
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* `strides` is a single number, then `strideHeight == strideWidth`.
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* @param pad A string from: 'same', 'valid'. The type of padding algorithm
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* used in the forward prop of the op.
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* @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. If none is
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* provided, it will default to truncate.
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*/
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declare function avgPool3dGrad_<T extends Tensor4D | Tensor5D>(dy: T | TensorLike, input: T | TensorLike, filterSize: [number, number, number] | number, strides: [number, number, number] | number, pad: 'valid' | 'same' | number, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T;
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export declare const avgPool3dGrad: typeof avgPool3dGrad_;
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export {};
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