/**
 * @license
 * Copyright 2018 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.
 * =============================================================================
 */
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/array_ops_util" />
/**
 * Gets the new shape of the input Tensor after it's been reshaped
 * to:
 * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),
 * inputShape[1], ..., inputShape[N-1]]
 *
 * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
 */
export declare function getReshaped(inputShape: number[], blockShape: number[], prod: number, batchToSpace?: boolean): number[];
/**
 * Gets the permutation that will transpose the dimensions of the
 * reshaped tensor to shape:
 *
 * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,
 * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]
 *
 * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
 */
export declare function getPermuted(reshapedRank: number, blockShapeRank: number, batchToSpace?: boolean): number[];
/**
 * Gets the shape of the reshaped and permuted input Tensor before any cropping
 * is applied.  The new shape will be:
 *
 * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,
 * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]
 *
 * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
 */
export declare function getReshapedPermuted(inputShape: number[], blockShape: number[], prod: number, batchToSpace?: boolean): number[];
/**
 * Converts the crops argument into the beginning coordinates of a slice
 * operation.
 */
export declare function getSliceBeginCoords(crops: number[][], blockShape: number): number[];
/**
 * Converts the crops argument into the size of a slice operation.  When
 * combined with getSliceBeginCoords this function allows the reshaped and
 * permuted Tensor to be cropped to its final output shape of:
 *
 * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,
 * inputShape[M] * blockShape[M-1] -crops[M-1,0] -
 * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]
 *
 * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
 */
export declare function getSliceSize(uncroppedShape: number[], crops: number[][], blockShape: number): number[];