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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @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'>;