/**
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* @license
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* Copyright 2017 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/axis_util" />
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/**
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* Returns true if the axis specifies the inner most dimensions of the
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* array.
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*/
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export declare function axesAreInnerMostDims(axes: number[], rank: number): boolean;
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export declare function combineLocations(outputLoc: number[], reduceLoc: number[], axes: number[]): number[];
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export declare function computeOutAndReduceShapes(aShape: number[], axes: number[]): [number[], number[]];
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export declare function expandShapeToKeepDim(shape: number[], axes: number[]): number[];
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export declare function assertAxesAreInnerMostDims(msg: string, axes: number[], rank: number): void;
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/**
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* Returns the axes permutation to be used with `tf.transpose`, if such
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* permutation is necessary. Otherwise it returns null. This method is used by
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* operations that operate only on inner-most axes.
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*/
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export declare function getAxesPermutation(axes: number[], rank: number): number[] | null;
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/** Returns the axes permutation that undoes the original permutation. */
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export declare function getUndoAxesPermutation(axes: number[]): number[];
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export declare function getInnerMostAxes(numAxes: number, rank: number): number[];
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