blob: 304a74137e1671d89a0946aedf1388a6a6803c2b [file] [log] [blame]
Michalis Spyrou16934a52018-08-21 18:03:58 +01001/*
Sheri Zhang7e20e292021-02-02 11:49:34 +00002 * Copyright (c) 2018-2021 Arm Limited.
Michalis Spyrou16934a52018-08-21 18:03:58 +01003 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
Michalis Spyrouf4643372019-11-29 16:17:13 +000024#ifndef ARM_COMPUTE_CLSPACETOBATCHLAYER_H
25#define ARM_COMPUTE_CLSPACETOBATCHLAYER_H
Michalis Spyrou16934a52018-08-21 18:03:58 +010026
Michalis Spyrou16934a52018-08-21 18:03:58 +010027#include "arm_compute/core/Types.h"
28#include "arm_compute/runtime/CL/CLTensor.h"
Sheri Zhang7e20e292021-02-02 11:49:34 +000029#include "arm_compute/runtime/CL/functions/CLFill.h"
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010030#include "arm_compute/runtime/IFunction.h"
31
32#include <memory>
Michalis Spyrou16934a52018-08-21 18:03:58 +010033
34namespace arm_compute
35{
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010036class CLCompileContext;
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010037class CLSpaceToBatchLayerKernel;
Michalis Spyrou16934a52018-08-21 18:03:58 +010038class ICLTensor;
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010039class ITensorInfo;
Michalis Spyrou16934a52018-08-21 18:03:58 +010040
Isabella Gottardicc6129c2018-12-14 11:40:40 +000041/** Basic function to spatial divide a tensor. This function calls the following OpenCL kernels/functions:
42 *
Sheri Zhang7e20e292021-02-02 11:49:34 +000043 * -# @ref CLFill
Isabella Gottardicc6129c2018-12-14 11:40:40 +000044 * -# @ref CLSpaceToBatchLayerKernel
45 */
Michalis Spyrou16934a52018-08-21 18:03:58 +010046class CLSpaceToBatchLayer : public IFunction
47{
48public:
49 /** Default constructor */
50 CLSpaceToBatchLayer();
51 /** Prevent instances of this class from being copied (As this class contains pointers) */
52 CLSpaceToBatchLayer(const CLSpaceToBatchLayer &) = delete;
53 /** Prevent instances of this class from being copied (As this class contains pointers) */
54 CLSpaceToBatchLayer &operator=(const CLSpaceToBatchLayer &) = delete;
55 /** Allow instances of this class to be moved */
56 CLSpaceToBatchLayer(CLSpaceToBatchLayer &&) = default;
57 /** Allow instances of this class to be moved */
58 CLSpaceToBatchLayer &operator=(CLSpaceToBatchLayer &&) = default;
59 /** Default destructor */
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +010060 ~CLSpaceToBatchLayer();
Michalis Spyrou16934a52018-08-21 18:03:58 +010061 /** Set the input and output tensors.
62 *
Teresa Charlin62687422021-04-28 10:58:49 +010063 * Valid data layouts:
64 * - NHWC
65 * - NCHW
66 *
67 * Valid data type configurations:
68 * |src0 |src1 |src2 |dst |
69 * |:---------|:---------|:---------|:---------|
70 * |All |S32 |S32 |All |
71 *
Manuel Bottini8481d832019-12-10 15:28:40 +000072 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
SiCong Li18bdfae2020-11-08 21:58:01 +000073 * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
74 * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
Michalis Spyrou16934a52018-08-21 18:03:58 +010075 * @param[out] output Tensor output. Data types supported: same as @p input
76 */
77 void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
Manuel Bottini2b84be52020-04-08 10:15:51 +010078 /** Set the input and output tensors.
79 *
80 * @param[in] compile_context The compile context to be used.
81 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
SiCong Li18bdfae2020-11-08 21:58:01 +000082 * @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
83 * @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
Manuel Bottini2b84be52020-04-08 10:15:51 +010084 * @param[out] output Tensor output. Data types supported: same as @p input
85 */
86 void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
Michalis Spyrou16934a52018-08-21 18:03:58 +010087 /** Set the input and output tensors. (Static block shape and paddings)
88 *
Manuel Bottini8481d832019-12-10 15:28:40 +000089 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
Michalis Spyrou16934a52018-08-21 18:03:58 +010090 * @param[in] block_shape_x Block shape x value.
91 * @param[in] block_shape_y Block shape y value.
SiCong Li18bdfae2020-11-08 21:58:01 +000092 * @param[in] padding_left The padding at the beginning of every dimension of the output tensor.
93 * @param[in] padding_right The padding at the end of every dimension of the output tensor.
Michalis Spyrou16934a52018-08-21 18:03:58 +010094 * @param[out] output Tensor output. Data types supported: same as @p input
95 */
96 void configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output);
Manuel Bottini2b84be52020-04-08 10:15:51 +010097 /** Set the input and output tensors. (Static block shape and paddings)
98 *
99 * @param[in] compile_context The compile context to be used.
100 * @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
101 * @param[in] block_shape_x Block shape x value.
102 * @param[in] block_shape_y Block shape y value.
SiCong Li18bdfae2020-11-08 21:58:01 +0000103 * @param[in] padding_left The padding at the beginning of every dimension of the output tensor.
104 * @param[in] padding_right The padding at the end of every dimension of the output tensor.
Manuel Bottini2b84be52020-04-08 10:15:51 +0100105 * @param[out] output Tensor output. Data types supported: same as @p input
106 */
107 void configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
108 ICLTensor *output);
Michalis Spyrou16934a52018-08-21 18:03:58 +0100109 /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer
110 *
Manuel Bottini8481d832019-12-10 15:28:40 +0000111 * @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All.
SiCong Li18bdfae2020-11-08 21:58:01 +0000112 * @param[in] block_shape block shape tensor info with shape [M]. Supported M: 2. Data types supported: S32
113 * @param[in] paddings paddings tensor info with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
Michalis Spyrou16934a52018-08-21 18:03:58 +0100114 * @param[out] output Tensor output info. Data types supported: same as @p input
115 *
116 * @return a status
117 */
118 static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output);
119 /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer (Static block shape and paddings)
120 *
Manuel Bottini8481d832019-12-10 15:28:40 +0000121 * @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All.
Michalis Spyrou16934a52018-08-21 18:03:58 +0100122 * @param[in] block_shape_x Block shape x value.
123 * @param[in] block_shape_y Block shape y value.
SiCong Li18bdfae2020-11-08 21:58:01 +0000124 * @param[in] padding_left The padding at the beginning of every dimension of the output tensor.
125 * @param[in] padding_right The padding at the end of every dimension of the output tensor.
Michalis Spyrou16934a52018-08-21 18:03:58 +0100126 * @param[out] output Tensor output info. Data types supported: same as @p input
127 *
128 * @return a status
129 */
130 static Status validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, const ITensorInfo *output);
131
132 // Inherited methods overridden:
133 void run() override;
134
135private:
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +0100136 std::unique_ptr<CLSpaceToBatchLayerKernel> _space_to_batch_kernel; /**< SpaceToBatch kernel to run */
Sheri Zhang7e20e292021-02-02 11:49:34 +0000137 CLFill _fill; /**< Fill function to run */
Sang-Hoon Parkbef7fa22020-10-21 15:58:54 +0100138 bool _has_padding; /**< Flag to check if the output has padding */
Michalis Spyrou16934a52018-08-21 18:03:58 +0100139};
140} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +0000141#endif /* ARM_COMPUTE_CLSPACETOBATCHLAYER_H */