/**
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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-backend-cpu/dist/utils/pool_utils" />
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import { backend_util, DataType, Rank, TensorBuffer, TypedArray } from '@tensorflow/tfjs-core';
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export declare function pool(xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[], convInfo: backend_util.Conv2DInfo, poolType: 'max' | 'avg'): TensorBuffer<Rank, DataType>;
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export declare function maxPoolPositions(xValues: TypedArray, xShape: number[], dtype: DataType, convInfo: backend_util.Conv2DInfo, flattenPositions?: boolean, includeBatchInIndex?: boolean): TensorBuffer<Rank, 'int32'>;
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export declare function pool3d(xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[], convInfo: backend_util.Conv3DInfo, poolType: 'max' | 'avg'): TensorBuffer<Rank, DataType>;
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export declare function maxPool3dPositions(xBuf: TensorBuffer<Rank, DataType>, convInfo: backend_util.Conv3DInfo): TensorBuffer<Rank, DataType>;
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