xref: /aosp_15_r20/external/ComputeLibrary/arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2018-2021 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/CL/functions/CLFill.h"
30 #include "arm_compute/runtime/IFunction.h"
31 
32 #include <memory>
33 
34 namespace arm_compute
35 {
36 class CLCompileContext;
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 CLFill
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      * 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      *
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 ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output);
78     /** 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.
82      * @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
84      * @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);
87     /** Set the input and output tensors. (Static block shape and paddings)
88      *
89      * @param[in]  input         Tensor input. Supported tensor rank: 4. Data types supported: All.
90      * @param[in]  block_shape_x Block shape x value.
91      * @param[in]  block_shape_y Block shape y value.
92      * @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.
94      * @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);
97     /** 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.
103      * @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.
105      * @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);
109     /** Static function to check if given info will lead to a valid configuration of @ref CLSpaceToBatchLayer
110      *
111      * @param[in]  input       Tensor input info. Supported tensor rank: 4. Data types supported: All.
112      * @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
114      * @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      *
121      * @param[in]  input         Tensor input info. Supported tensor rank: 4. Data types supported: All.
122      * @param[in]  block_shape_x Block shape x value.
123      * @param[in]  block_shape_y Block shape y value.
124      * @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.
126      * @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 
135 private:
136     std::unique_ptr<CLSpaceToBatchLayerKernel> _space_to_batch_kernel; /**< SpaceToBatch kernel to run */
137     CLFill                                     _fill;                  /**< Fill function to run */
138     bool                                       _has_padding;           /**< Flag to check if the output has padding */
139 };
140 } // namespace arm_compute
141 #endif /* ARM_COMPUTE_CLSPACETOBATCHLAYER_H */
142