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1 /*
2  * Copyright (c) 2018-2020 Arm Limited.
3  *
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  */
24 #ifndef ARM_COMPUTE_CLSPACETOBATCHLAYER_H
25 #define ARM_COMPUTE_CLSPACETOBATCHLAYER_H
26 
27 #include "arm_compute/core/Types.h"
28 #include "arm_compute/runtime/CL/CLTensor.h"
29 #include "arm_compute/runtime/IFunction.h"
30 
31 #include <memory>
32 
33 namespace arm_compute
34 {
35 class CLCompileContext;
36 class CLMemsetKernel;
37 class CLSpaceToBatchLayerKernel;
38 class ICLTensor;
39 class ITensorInfo;
40 
41 /** Basic function to spatial divide a tensor. This function calls the following OpenCL kernels/functions:
42  *
43  *  -# @ref CLMemsetKernel
44  *  -# @ref CLSpaceToBatchLayerKernel
45  */
46 class CLSpaceToBatchLayer : public IFunction
47 {
48 public:
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 */
60     ~CLSpaceToBatchLayer();
61     /** Set the input and output tensors.
62      *
63      * @param[in]  input       Tensor input. Supported tensor rank: 4. Data types supported: All.
64      * @param[in]  block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
65      * @param[in]  paddings    2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
66      * @param[out] output      Tensor output. Data types supported: same as @p input
67      */
68     void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
69     /** Set the input and output tensors.
70      *
71      * @param[in]  compile_context The compile context to be used.
72      * @param[in]  input           Tensor input. Supported tensor rank: 4. Data types supported: All.
73      * @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
75      * @param[out] output          Tensor output. Data types supported: same as @p input
76      */
77     void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
78     /** Set the input and output tensors. (Static block shape and paddings)
79      *
80      * @param[in]  input         Tensor input. Supported tensor rank: 4. Data types supported: All.
81      * @param[in]  block_shape_x Block shape x value.
82      * @param[in]  block_shape_y Block shape y value.
83      * @param[in]  padding_left  The padding at the beginning of every dimension of the output tensor.
84      * @param[in]  padding_right The padding at the end of every dimension of the output tensor.
85      * @param[out] output        Tensor output. Data types supported: same as @p input
86      */
87     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);
88     /** Set the input and output tensors. (Static block shape and paddings)
89      *
90      * @param[in]  compile_context The compile context to be used.
91      * @param[in]  input           Tensor input. Supported tensor rank: 4. Data types supported: All.
92      * @param[in]  block_shape_x   Block shape x value.
93      * @param[in]  block_shape_y   Block shape y value.
94      * @param[in]  padding_left    The padding at the beginning of every dimension of the output tensor.
95      * @param[in]  padding_right   The padding at the end of every dimension of the output tensor.
96      * @param[out] output          Tensor output. Data types supported: same as @p input
97      */
98     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,
99                    ICLTensor *output);
100     /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer
101      *
102      * @param[in]  input       Tensor input info. Supported tensor rank: 4. Data types supported: All.
103      * @param[in]  block_shape block shape tensor info with shape [M]. Supported M: 2. Data types supported: S32
104      * @param[in]  paddings    paddings tensor info with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
105      * @param[out] output      Tensor output info. Data types supported: same as @p input
106      *
107      * @return a status
108      */
109     static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output);
110     /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer (Static block shape and paddings)
111      *
112      * @param[in]  input         Tensor input info. Supported tensor rank: 4. Data types supported: All.
113      * @param[in]  block_shape_x Block shape x value.
114      * @param[in]  block_shape_y Block shape y value.
115      * @param[in]  padding_left  The padding at the beginning of every dimension of the output tensor.
116      * @param[in]  padding_right The padding at the end of every dimension of the output tensor.
117      * @param[out] output        Tensor output info. Data types supported: same as @p input
118      *
119      * @return a status
120      */
121     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);
122 
123     // Inherited methods overridden:
124     void run() override;
125 
126 private:
127     std::unique_ptr<CLSpaceToBatchLayerKernel> _space_to_batch_kernel; /**< SpaceToBatch kernel to run */
128     std::unique_ptr<CLMemsetKernel>            _memset_kernel;         /**< Memset kernel to run */
129     bool                                       _has_padding;           /**< Flag to check if the output has padding */
130 };
131 } // namespace arm_compute
132 #endif /* ARM_COMPUTE_CLSPACETOBATCHLAYER_H */
133