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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
Georgios Pinitas55186712018-01-08 17:37:12 +00002 * Copyright (c) 2017-2018 ARM Limited.
Anthony Barbier6ff3b192017-09-04 18:44:23 +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 */
24#ifndef __ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H__
25#define __ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H__
26
27#include "arm_compute/core/NEON/INEKernel.h"
28
29namespace arm_compute
30{
31class ITensor;
32
33/** Interface for the pooling layer kernel */
34class NEPoolingLayerKernel : public INEKernel
35{
36public:
Anthony Barbiere8a49832018-01-18 10:04:05 +000037 const char *name() const override
38 {
39 return "NEPoolingLayerKernel";
40 }
Anthony Barbier6ff3b192017-09-04 18:44:23 +010041 /** Default constructor */
42 NEPoolingLayerKernel();
43 /** Prevent instances of this class from being copied (As this class contains pointers) */
44 NEPoolingLayerKernel(const NEPoolingLayerKernel &) = delete;
45 /** Prevent instances of this class from being copied (As this class contains pointers) */
46 NEPoolingLayerKernel &operator=(const NEPoolingLayerKernel &) = delete;
47 /** Allow instances of this class to be moved */
48 NEPoolingLayerKernel(NEPoolingLayerKernel &&) = default;
49 /** Allow instances of this class to be moved */
50 NEPoolingLayerKernel &operator=(NEPoolingLayerKernel &&) = default;
51 /** Default destructor */
52 ~NEPoolingLayerKernel() = default;
53 /** Set the input and output tensors.
54 *
Gian Marco Iodice16824302017-09-28 15:41:37 +010055 * @note QS8, QS16 and F16 are supported for pool sizes 2 and 3 only
56 *
Georgios Pinitas55186712018-01-08 17:37:12 +000057 * @param[in] input Source tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32.
Anthony Barbier6ff3b192017-09-04 18:44:23 +010058 * @param[out] output Destination tensor. Data types supported: Same as @p input.
59 * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
60 */
61 void configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info);
Michalis Spyrouafa5d812017-11-30 14:25:57 +000062 /** Static function to check if given info will lead to a valid configuration of @ref NEPoolingLayerKernel
63 *
64 * @note QS8, QS16 and F16 are supported for pool sizes 2 and 3 only
65 *
Georgios Pinitas55186712018-01-08 17:37:12 +000066 * @param[in] input Source tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32.
Michalis Spyrouafa5d812017-11-30 14:25:57 +000067 * @param[in] output Destination tensor. Data types supported: Same as @p input.
68 * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
69 *
70 * @return a status
71 */
72 static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
Anthony Barbier6ff3b192017-09-04 18:44:23 +010073
74 // Inherited methods overridden:
Moritz Pflanzerc186b572017-09-07 09:48:04 +010075 void run(const Window &window, const ThreadInfo &info) override;
Anthony Barbier6ff3b192017-09-04 18:44:23 +010076 BorderSize border_size() const override;
77
78private:
79 /** Function to perform 2x2 pooling.
80 *
81 * @param[in] window_input Input region on which to execute the kernel.
82 * @param[in] window Output region on which to execute the kernel.
83 */
Georgios Pinitasadaae7e2017-10-30 15:56:32 +000084 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +000085 void pooling2_f32_nchw(const Window &window_input, const Window &window);
Pablo Tello0c34fe22017-06-26 17:17:42 +010086 /** Function to perform 2x2 pooling for float16_t.
87 *
88 * @param[in] window_input Input region on which to execute the kernel.
89 * @param[in] window Output region on which to execute the kernel.
90 */
Georgios Pinitasadaae7e2017-10-30 15:56:32 +000091 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +000092 void pooling2_f16_nchw(const Window &window_input, const Window &window);
Anthony Barbier6ff3b192017-09-04 18:44:23 +010093 /** Function to perform 2x2 pooling for 8bit fixed point.
94 *
95 * @param[in] window_input Input region on which to execute the kernel.
96 * @param[in] window Output region on which to execute the kernel.
97 */
98 template <PoolingType pooling_type>
Michalis Spyrou57dac842018-03-01 16:03:50 +000099 void pooling2_q8_nchw(const Window &window_input, const Window &window);
Georgios Pinitas55186712018-01-08 17:37:12 +0000100 /** Function to perform 2x2 pooling for 8bit asymmetric fixed point.
101 *
102 * @param[in] window_input Input region on which to execute the kernel.
103 * @param[in] window Output region on which to execute the kernel.
104 */
105 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000106 void pooling2_qasymm8_nchw(const Window &window_input, const Window &window);
Michalis Spyroubbd9fb92017-06-22 12:57:51 +0100107 /** Function to perform 2x2 pooling for 16bit fixed point.
108 *
109 * @param[in] window_input Input region on which to execute the kernel.
110 * @param[in] window Output region on which to execute the kernel.
111 */
112 template <PoolingType pooling_type>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000113 void pooling2_q16_nchw(const Window &window_input, const Window &window);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100114 /** Function to perform 3x3 pooling.
115 *
116 * @param[in] window_input Input region on which to execute the kernel.
117 * @param[in] window Output region on which to execute the kernel.
118 */
Georgios Pinitasadaae7e2017-10-30 15:56:32 +0000119 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000120 void pooling3_f32_nchw(const Window &window_input, const Window &window);
Pablo Tello0c34fe22017-06-26 17:17:42 +0100121 /** Function to perform 3x3 pooling.
122 *
123 * @param[in] window_input Input region on which to execute the kernel.
124 * @param[in] window Output region on which to execute the kernel.
125 */
Georgios Pinitasadaae7e2017-10-30 15:56:32 +0000126 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000127 void pooling3_f16_nchw(const Window &window_input, const Window &window);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100128 /** Function to perform 3x3 pooling for 8bit fixed point.
129 *
130 * @param[in] window_input Input region on which to execute the kernel.
131 * @param[in] window Output region on which to execute the kernel.
132 */
133 template <PoolingType pooling_type>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000134 void pooling3_q8_nchw(const Window &window_input, const Window &window);
Georgios Pinitas55186712018-01-08 17:37:12 +0000135 /** Function to perform 3x3 pooling for 8bit quantized fixed point.
136 *
137 * @param[in] window_input Input region on which to execute the kernel.
138 * @param[in] window Output region on which to execute the kernel.
139 */
140 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000141 void pooling3_qasymm8_nchw(const Window &window_input, const Window &window);
Michalis Spyroubbd9fb92017-06-22 12:57:51 +0100142 /** Function to perform 3x3 pooling for 16bit fixed point.
143 *
144 * @param[in] window_input Input region on which to execute the kernel.
145 * @param[in] window Output region on which to execute the kernel.
146 */
147 template <PoolingType pooling_type>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000148 void pooling3_q16_nchw(const Window &window_input, const Window &window);
Michele Di Giorgio8af2dd62017-06-19 15:19:29 +0100149 /** Function to perform 7x7 pooling.
150 *
151 * @param[in] window_input Input region on which to execute the kernel.
152 * @param[in] window Output region on which to execute the kernel.
153 */
Georgios Pinitasadaae7e2017-10-30 15:56:32 +0000154 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000155 void pooling7_f32_nchw(const Window &window_input, const Window &window);
Isabella Gottardi7567f5f2018-01-30 15:26:00 +0000156 /** Function to perform MxN pooling for 8bit fixed point.
157 *
158 * @param[in] window_input Input region on which to execute the kernel.
159 * @param[in] window Output region on which to execute the kernel.
160 */
161 template <PoolingType pooling_type>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000162 void poolingMxN_q8_nchw(const Window &window_input, const Window &window);
Isabella Gottardi7567f5f2018-01-30 15:26:00 +0000163 /** Function to perform MxN pooling for 8-bit quantized.
Gian Marco Iodice16824302017-09-28 15:41:37 +0100164 *
165 * @param[in] window_input Input region on which to execute the kernel.
166 * @param[in] window Output region on which to execute the kernel.
167 */
Georgios Pinitasadaae7e2017-10-30 15:56:32 +0000168 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000169 void poolingMxN_qasymm8_nchw(const Window &window_input, const Window &window);
170 /** Function to perform MxN pooling for 8-bit quantized. (NHWC)
171 *
172 * @param[in] window_input Input region on which to execute the kernel.
173 * @param[in] window Output region on which to execute the kernel.
174 */
175 template <PoolingType pooling_type, bool exclude_padding = false>
176 void poolingMxN_qasymm8_nhwc(const Window &window_input, const Window &window);
Isabella Gottardi7567f5f2018-01-30 15:26:00 +0000177 /** Function to perform MxN pooling for 16bit fixed point.
178 *
179 * @param[in] window_input Input region on which to execute the kernel.
180 * @param[in] window Output region on which to execute the kernel.
181 */
182 template <PoolingType pooling_type>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000183 void poolingMxN_q16_nchw(const Window &window_input, const Window &window);
Isabella Gottardi7567f5f2018-01-30 15:26:00 +0000184 /** Function to perform MxN pooling for 16-bit floating point values.
Georgios Pinitas55186712018-01-08 17:37:12 +0000185 *
186 * @param[in] window_input Input region on which to execute the kernel.
187 * @param[in] window Output region on which to execute the kernel.
188 */
189 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000190 void poolingMxN_f16_nchw(const Window &window_input, const Window &window);
191 /** Function to perform MxN pooling for 16-bit floating point values. (NHWC)
192 *
193 * @param[in] window_input Input region on which to execute the kernel.
194 * @param[in] window Output region on which to execute the kernel.
195 */
196 template <PoolingType pooling_type, bool exclude_padding = false>
197 void poolingMxN_f16_nhwc(const Window &window_input, const Window &window);
Isabella Gottardi7567f5f2018-01-30 15:26:00 +0000198 /** Function to perform MxN pooling for 32-bit floating point values.
199 *
200 * @param[in] window_input Input region on which to execute the kernel.
201 * @param[in] window Output region on which to execute the kernel.
202 */
203 template <PoolingType pooling_type, bool exclude_padding = false>
Michalis Spyrou57dac842018-03-01 16:03:50 +0000204 void poolingMxN_f32_nchw(const Window &window_input, const Window &window);
205 /** Function to perform MxN pooling for 32-bit floating point values (NHWC).
206 *
207 * @param[in] window_input Input region on which to execute the kernel.
208 * @param[in] window Output region on which to execute the kernel.
209 */
210 template <PoolingType pooling_type, bool exclude_padding = false>
211 void poolingMxN_f32_nhwc(const Window &window_input, const Window &window);
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100212 /** Common signature for all the specialised Pooling functions
213 *
214 * @param[in] window_input Input region on which to execute the kernel.
215 * @param[in] window Output region on which to execute the kernel.
216 */
217 using PoolingFunction = void (NEPoolingLayerKernel::*)(const Window &window_input, const Window &window);
218
219private:
220 PoolingFunction _func;
221 const ITensor *_input;
222 ITensor *_output;
223 PoolingLayerInfo _pool_info;
Michalis Spyrouafa5d812017-11-30 14:25:57 +0000224 unsigned int _num_elems_processed_per_iteration;
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100225 BorderSize _border_size;
Isabella Gottardi7567f5f2018-01-30 15:26:00 +0000226 bool _is_square;
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100227};
Gian Marco Iodice356f6432017-09-22 11:32:21 +0100228} // namespace arm_compute
Anthony Barbier6ff3b192017-09-04 18:44:23 +0100229#endif /*__ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H__ */