/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import { Conv2DInfo } from '../../ops/conv_util';
import { TensorBuffer } from '../../tensor';
import { DataType, Rank, TypedArray } from '../../types';
export declare function pool(xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[], convInfo: Conv2DInfo, poolType: 'max' | 'avg'): TensorBuffer<Rank, DataType>;
export declare function maxPoolPositions(xValues: TypedArray, xShape: number[], dtype: DataType, convInfo: Conv2DInfo, flattenPositions?: boolean, includeBatchInIndex?: boolean): TensorBuffer<Rank, 'int32'>;