| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 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/depth_to_space" />
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| 18 | import { Tensor4D } from '../tensor';
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| 19 | import { TensorLike4D } from '../types';
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| 20 | /**
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| 21 | * Rearranges data from depth into blocks of spatial data. More specifically,
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| 22 | * this op outputs a copy of the input tensor where values from the `depth`
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| 23 | * dimension are moved in spatial blocks to the `height` and `width` dimensions.
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| 24 | * The attr `blockSize` indicates the input block size and how the data is
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| 25 | * moved.
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| 26 | *
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| 27 | * - Chunks of data of size `blockSize * blockSize` from depth are rearranged
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| 28 | * into non-overlapping blocks of size `blockSize x blockSize`
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| 29 | *
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| 30 | * - The width the output tensor is `inputWidth * blockSize`, whereas the
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| 31 | * height is `inputHeight * blockSize`
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| 32 | *
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| 33 | * - The Y, X coordinates within each block of the output image are determined
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| 34 | * by the high order component of the input channel index
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| 35 | *
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| 36 | * - The depth of the input tensor must be divisible by `blockSize *
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| 37 | * blockSize`
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| 38 | *
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| 39 | * The `dataFormat` attr specifies the layout of the input and output tensors
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| 40 | * with the following options: "NHWC": [ `batch, height, width, channels` ]
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| 41 | * "NCHW": [ `batch, channels, height, width` ]
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| 42 | *
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| 43 | * ```js
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| 44 | * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);
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| 45 | * const blockSize = 2;
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| 46 | * const dataFormat = "NHWC";
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| 47 | *
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| 48 | * tf.depthToSpace(x, blockSize, dataFormat).print();
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| 49 | * ```
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| 50 | *
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| 51 | * @param x The input tensor of rank 4
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| 52 | * @param blockSIze An `int` that is `>= 2`. The size of the spatial block
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| 53 | * @param dataFormat An optional string from: "NHWC", "NCHW". Defaults to "NHWC"
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| 54 | *
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| 55 | * @doc {heading: 'Tensors', subheading: 'Transformations'}
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| 56 | */
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| 57 | declare function depthToSpace_(x: Tensor4D | TensorLike4D, blockSize: number, dataFormat?: 'NHWC' | 'NCHW'): Tensor4D;
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| 58 | export declare const depthToSpace: typeof depthToSpace_;
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| 59 | export {};
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