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Giuseppe Rossinid7647d42018-07-17 18:13:13 +01001/*
Manuel Bottini8481d832019-12-10 15:28:40 +00002 * Copyright (c) 2018-2020 ARM Limited.
Giuseppe Rossinid7647d42018-07-17 18:13:13 +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_CLPADLAYER_H
25#define ARM_COMPUTE_CLPADLAYER_H
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010026
27#include "arm_compute/core/CL/kernels/CLCopyKernel.h"
Giorgio Arena205eed82019-08-14 10:13:50 +010028#include "arm_compute/core/CL/kernels/CLPadLayerKernel.h"
Manuel Bottini60f39112019-03-18 15:25:15 +000029#include "arm_compute/runtime/CL/CLTensor.h"
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010030#include "arm_compute/runtime/IFunction.h"
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010031
32namespace arm_compute
33{
34class ICLTensor;
35
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010036/** Basic function to pad a tensor. This function calls the following OpenCL functions/kernels:
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010037 *
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010038 * -# @ref CLPadLayerKernel if there is padding to be added
39 * -# @ref CLCopyKernel otherwise
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010040 */
41class CLPadLayer : public IFunction
42{
43public:
Giorgio Arena205eed82019-08-14 10:13:50 +010044 /** Default constructor */
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010045 CLPadLayer();
Giorgio Arena205eed82019-08-14 10:13:50 +010046 /** Prevent instances of this class from being copied (As this class contains pointers) */
47 CLPadLayer(const CLPadLayer &) = delete;
48 /** Default move constructor */
49 CLPadLayer(CLPadLayer &&) = default;
50 /** Prevent instances of this class from being copied (As this class contains pointers) */
51 CLPadLayer &operator=(const CLPadLayer &) = delete;
52 /** Default move assignment operator */
53 CLPadLayer &operator=(CLPadLayer &&) = default;
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010054
55 /** Initialize the function
56 *
Manuel Bottini8481d832019-12-10 15:28:40 +000057 * @param[in] input Source tensor. Data types supported: All.
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000058 * @param[out] output Output tensor. Data type supported: same as @p input
59 * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
60 * specifies the front and the end padding in the i-th dimension.
Usama Arif8cf8c112019-03-14 15:36:54 +000061 * @param[in] constant_value (Optional) Constant value to be used for the padding.
62 * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010063 * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010064 */
Usama Arif8cf8c112019-03-14 15:36:54 +000065 void configure(ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), PaddingMode mode = PaddingMode::CONSTANT);
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010066
67 /** Static function to check if given info will lead to a valid configuration of @ref CLPadLayer.
68 *
Manuel Bottini8481d832019-12-10 15:28:40 +000069 * @param[in] input Source tensor info. Data types supported: All.
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000070 * @param[in] output Output tensor info. Data type supported: same as @p input
71 * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
72 * specifies the front and the end padding in the i-th dimension.
73 * @param[in] constant_value (Optional) Constant value to be used for the padding
Usama Arif8cf8c112019-03-14 15:36:54 +000074 * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010075 * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010076 */
Usama Arif8cf8c112019-03-14 15:36:54 +000077 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value = PixelValue(), PaddingMode mode = PaddingMode::CONSTANT);
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010078
79 // Inherited methods overridden:
80 void run() override;
81
82private:
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010083 void configure_reflect_mode(ICLTensor *input, ICLTensor *output);
Manuel Bottini60f39112019-03-18 15:25:15 +000084
Giorgio Arena5c4a8e92019-08-28 17:55:07 +010085 CLPadLayerKernel _pad_kernel;
86 CLCopyKernel _copy_kernel;
87 bool _perform_pad;
Giuseppe Rossinid7647d42018-07-17 18:13:13 +010088};
89} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +000090#endif /*ARM_COMPUTE_PADLAYER_H */