| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2018 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/array_ops_util" />
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| 18 | /**
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| 19 | * Gets the new shape of the input Tensor after it's been reshaped
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| 20 | * to:
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| 21 | * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),
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| 22 | * inputShape[1], ..., inputShape[N-1]]
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| 23 | *
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| 24 | * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
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| 25 | */
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| 26 | export declare function getReshaped(inputShape: number[], blockShape: number[], prod: number, batchToSpace?: boolean): number[];
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| 27 | /**
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| 28 | * Gets the permutation that will transpose the dimensions of the
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| 29 | * reshaped tensor to shape:
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| 30 | *
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| 31 | * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,
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| 32 | * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]
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| 33 | *
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| 34 | * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
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| 35 | */
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| 36 | export declare function getPermuted(reshapedRank: number, blockShapeRank: number, batchToSpace?: boolean): number[];
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| 37 | /**
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| 38 | * Gets the shape of the reshaped and permuted input Tensor before any cropping
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| 39 | * is applied. The new shape will be:
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| 40 | *
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| 41 | * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,
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| 42 | * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]
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| 43 | *
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| 44 | * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
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| 45 | */
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| 46 | export declare function getReshapedPermuted(inputShape: number[], blockShape: number[], prod: number, batchToSpace?: boolean): number[];
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| 47 | /**
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| 48 | * Converts the crops argument into the beginning coordinates of a slice
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| 49 | * operation.
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| 50 | */
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| 51 | export declare function getSliceBeginCoords(crops: number[][], blockShape: number): number[];
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| 52 | /**
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| 53 | * Converts the crops argument into the size of a slice operation. When
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| 54 | * combined with getSliceBeginCoords this function allows the reshaped and
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| 55 | * permuted Tensor to be cropped to its final output shape of:
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| 56 | *
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| 57 | * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,
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| 58 | * inputShape[M] * blockShape[M-1] -crops[M-1,0] -
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| 59 | * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]
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| 60 | *
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| 61 | * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd
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| 62 | */
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| 63 | export declare function getSliceSize(uncroppedShape: number[], crops: number[][], blockShape: number): number[];
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