1 | /**
|
2 | * @license
|
3 | * Copyright 2020 Google LLC. All Rights Reserved.
|
4 | * Licensed under the Apache License, Version 2.0 (the "License");
|
5 | * you may not use this file except in compliance with the License.
|
6 | * You may obtain a copy of the License at
|
7 | *
|
8 | * http://www.apache.org/licenses/LICENSE-2.0
|
9 | *
|
10 | * Unless required by applicable law or agreed to in writing, software
|
11 | * distributed under the License is distributed on an "AS IS" BASIS,
|
12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 | * See the License for the specific language governing permissions and
|
14 | * limitations under the License.
|
15 | * =============================================================================
|
16 | */
|
17 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/depth_to_space" />
|
18 | import { Tensor4D } from '../tensor';
|
19 | import { TensorLike4D } from '../types';
|
20 | /**
|
21 | * Rearranges data from depth into blocks of spatial data. More specifically,
|
22 | * this op outputs a copy of the input tensor where values from the `depth`
|
23 | * dimension are moved in spatial blocks to the `height` and `width` dimensions.
|
24 | * The attr `blockSize` indicates the input block size and how the data is
|
25 | * moved.
|
26 | *
|
27 | * - Chunks of data of size `blockSize * blockSize` from depth are rearranged
|
28 | * into non-overlapping blocks of size `blockSize x blockSize`
|
29 | *
|
30 | * - The width the output tensor is `inputWidth * blockSize`, whereas the
|
31 | * height is `inputHeight * blockSize`
|
32 | *
|
33 | * - The Y, X coordinates within each block of the output image are determined
|
34 | * by the high order component of the input channel index
|
35 | *
|
36 | * - The depth of the input tensor must be divisible by `blockSize *
|
37 | * blockSize`
|
38 | *
|
39 | * The `dataFormat` attr specifies the layout of the input and output tensors
|
40 | * with the following options: "NHWC": [ `batch, height, width, channels` ]
|
41 | * "NCHW": [ `batch, channels, height, width` ]
|
42 | *
|
43 | * ```js
|
44 | * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);
|
45 | * const blockSize = 2;
|
46 | * const dataFormat = "NHWC";
|
47 | *
|
48 | * tf.depthToSpace(x, blockSize, dataFormat).print();
|
49 | * ```
|
50 | *
|
51 | * @param x The input tensor of rank 4
|
52 | * @param blockSIze An `int` that is `>= 2`. The size of the spatial block
|
53 | * @param dataFormat An optional string from: "NHWC", "NCHW". Defaults to "NHWC"
|
54 | *
|
55 | * @doc {heading: 'Tensors', subheading: 'Transformations'}
|
56 | */
|
57 | declare function depthToSpace_(x: Tensor4D | TensorLike4D, blockSize: number, dataFormat?: 'NHWC' | 'NCHW'): Tensor4D;
|
58 | export declare const depthToSpace: typeof depthToSpace_;
|
59 | export {};
|