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Georgios Pinitasdea2d2d2018-12-19 16:23:17 +00001/*
Michele Di Giorgiod9eaf612020-07-08 11:12:57 +01002 * Copyright (c) 2018-2019 Arm Limited.
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +00003 *
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_NEPADLAYER_H
25#define ARM_COMPUTE_NEPADLAYER_H
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000026
27#include "arm_compute/runtime/IFunction.h"
Usama Arif8cf8c112019-03-14 15:36:54 +000028#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
29#include "arm_compute/runtime/NEON/functions/NEStridedSlice.h"
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000030#include "arm_compute/runtime/SubTensor.h"
31
32#include "arm_compute/core/NEON/kernels/NECopyKernel.h"
Manuel Bottini9032ee32019-08-07 17:04:11 +010033#include "arm_compute/core/NEON/kernels/NEPadLayerKernel.h"
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000034#include "arm_compute/core/Types.h"
Usama Arif8cf8c112019-03-14 15:36:54 +000035#include "arm_compute/runtime/Tensor.h"
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000036
37namespace arm_compute
38{
Manuel Bottini9032ee32019-08-07 17:04:11 +010039/** Basic function to pad a tensor. This function calls the following NEON functions/kernels:
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000040 *
Manuel Bottini9032ee32019-08-07 17:04:11 +010041 * - For padding mode = PaddingMode::CONSTANT:
42 * -# @ref NEPadLayerKernel
43 * - Otherwise:
44 * -# @ref NECopyKernel
45 * -# @ref NEStridedSlice
46 * -# @ref NEConcatenateLayer
47 *
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000048 */
49class NEPadLayer : public IFunction
50{
51public:
52 /** Default constructor*/
53 NEPadLayer();
54 /** Initialize the function
55 *
Georgios Pinitas33843562019-12-10 13:33:18 +000056 * @param[in] input Source tensor. Data types supported: All.
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000057 * @param[out] output Output tensor. Data type supported: same as @p input
58 * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
59 * specifies the front and the end padding in the i-th dimension.
60 * @param[in] constant_value (Optional) Constant value to be used for the padding
Usama Arif8cf8c112019-03-14 15:36:54 +000061 * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
62 * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000063 */
Usama Arif8cf8c112019-03-14 15:36:54 +000064 void configure(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value = PixelValue(), const PaddingMode mode = PaddingMode::CONSTANT);
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000065 /** Static function to check if given info will lead to a valid configuration of @ref NEPadLayer.
66 *
Georgios Pinitas33843562019-12-10 13:33:18 +000067 * @param[in] input Source tensor info. Data types supported: All.
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000068 * @param[in] output Output tensor info. Data type supported: same as @p input
69 * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
70 * specifies the front and the end padding in the i-th dimension.
71 * @param[in] constant_value (Optional) Constant value to be used for the padding
Usama Arif8cf8c112019-03-14 15:36:54 +000072 * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
73 * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000074 *
75 * @return a status
76 */
Usama Arif8cf8c112019-03-14 15:36:54 +000077 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, const PixelValue constant_value = PixelValue(), const PaddingMode mode = PaddingMode::CONSTANT);
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +000078
79 // Inherited methods overridden:
80 void run() override;
81
82private:
Usama Arif8cf8c112019-03-14 15:36:54 +000083 /** Configure kernels for when constant padding is used.
84 *
Georgios Pinitas33843562019-12-10 13:33:18 +000085 * @param[in] input Source tensor. Data types supported: All.
Usama Arif8cf8c112019-03-14 15:36:54 +000086 * @param[out] output Output tensor. Data type supported: same as @p input
87 * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
88 * specifies the front and the end padding in the i-th dimension.
89 * @param[in] constant_value Constant value to be used for the padding
90 */
91 void configure_constant_mode(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value);
92 /** Configure functions for when reflect or symmetric padding is used.
93 *
Georgios Pinitas33843562019-12-10 13:33:18 +000094 * @param[in] input Source tensor. Data types supported: All.
Usama Arif8cf8c112019-03-14 15:36:54 +000095 * @param[out] output Output tensor. Data type supported: same as @p input
96 */
97 void configure_reflect_symmetric_mode(ITensor *input, ITensor *output);
98
99private:
Michalis Spyroubcfd09a2019-05-01 13:03:59 +0100100 NECopyKernel _copy_kernel;
Manuel Bottini9032ee32019-08-07 17:04:11 +0100101 NEPadLayerKernel _pad_kernel;
Michalis Spyroubcfd09a2019-05-01 13:03:59 +0100102 PaddingMode _mode;
103 PaddingList _padding;
Michalis Spyroubcfd09a2019-05-01 13:03:59 +0100104 uint32_t _num_dimensions;
105 std::vector<NEStridedSlice> _slice_functions;
106 std::vector<NEConcatenateLayer> _concat_functions;
107 std::vector<Tensor> _slice_results;
108 std::vector<Tensor> _concat_results;
Georgios Pinitasdea2d2d2018-12-19 16:23:17 +0000109};
110} // namespace arm_compute
Michalis Spyrouf4643372019-11-29 16:17:13 +0000111#endif /*ARM_COMPUTE_NEPADLAYER_H */