Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 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 | #include "arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/AccessWindowStatic.h" |
| 27 | #include "arm_compute/core/Error.h" |
| 28 | #include "arm_compute/core/FixedPoint.h" |
| 29 | #include "arm_compute/core/Helpers.h" |
| 30 | #include "arm_compute/core/ITensor.h" |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 31 | #include "arm_compute/core/NEON/NEAsymm.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 32 | #include "arm_compute/core/NEON/NEFixedPoint.h" |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 33 | #include "arm_compute/core/NEON/NEMath.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 34 | #include "arm_compute/core/TensorInfo.h" |
| 35 | #include "arm_compute/core/Utils.h" |
| 36 | #include "arm_compute/core/Validate.h" |
| 37 | #include "arm_compute/core/Window.h" |
| 38 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 39 | #include "support/ToolchainSupport.h" |
| 40 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 41 | #include <algorithm> |
| 42 | #include <arm_neon.h> |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 43 | #include <cmath> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 44 | #include <limits> |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 45 | #include <set> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 46 | #include <string> |
| 47 | #include <tuple> |
| 48 | |
| 49 | using namespace arm_compute; |
| 50 | |
| 51 | namespace |
| 52 | { |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 53 | void auto_init(const ITensorInfo *input, ITensorInfo *output, unsigned int pooled_w, unsigned int pooled_h) |
| 54 | { |
| 55 | TensorShape output_shape{ input->tensor_shape() }; |
| 56 | output_shape.set(0, pooled_w); |
| 57 | output_shape.set(1, pooled_h); |
| 58 | |
| 59 | auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape)); |
| 60 | } |
| 61 | |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 62 | template <bool exclude_padding> |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 63 | inline float calculate_avg_scale(const Coordinates &id, const int pool_size_x, const int pool_size_y, const int upper_bound_w, const int upper_bound_h, |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 64 | const int pad_x, const int pad_y, const int stride_x, const int stride_y) |
| 65 | { |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 66 | int start_x = id.x() * stride_x - pad_x; |
| 67 | int start_y = id.y() * stride_y - pad_y; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 68 | const int end_x = std::min(start_x + pool_size_x, upper_bound_w); |
| 69 | const int end_y = std::min(start_y + pool_size_y, upper_bound_h); |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 70 | if(exclude_padding) |
| 71 | { |
| 72 | start_x = std::max(0, start_x); |
| 73 | start_y = std::max(0, start_y); |
| 74 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 75 | return 1.f / ((end_y - start_y) * (end_x - start_x)); |
| 76 | } |
| 77 | |
| 78 | inline qint8_t calculate_avg_scale_q8(const Coordinates &id, int pool_size, int upper_bound_w, int upper_bound_h, |
| 79 | int pad_x, int pad_y, int stride_x, int stride_y, int fixed_point_position) |
| 80 | { |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 81 | static const std::array<qint8_t, 10> scale_values_q8 = |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 82 | { { 0x0, 0x0, 0x40, 0x2A, 0x20, 0x19, 0x15, 0x12, 0x10, 0xE } }; |
| 83 | const int start_x = id.x() * stride_x - pad_x; |
| 84 | const int start_y = id.y() * stride_y - pad_y; |
| 85 | const int end_x = std::min(start_x + pool_size, upper_bound_w); |
| 86 | const int end_y = std::min(start_y + pool_size, upper_bound_h); |
| 87 | const int val = ((end_y - start_y) * (end_x - start_x)); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 88 | return sshr_qs8(scale_values_q8[val], (7 - fixed_point_position)); |
| 89 | } |
| 90 | |
| 91 | inline qint16_t calculate_avg_scale_q16(const Coordinates &id, int pool_size, int upper_bound_w, int upper_bound_h, |
| 92 | int pad_x, int pad_y, int stride_x, int stride_y, int fixed_point_position) |
| 93 | { |
| 94 | static std::array<qint16_t, 10> scale_values_q16 = |
| 95 | { { 0x0, 0x0, 0x4000, 0x2AAB, 0x2000, 0x199A, 0x1555, 0x1249, 0x1000, 0xE38 } }; |
| 96 | const int start_x = id.x() * stride_x - pad_x; |
| 97 | const int start_y = id.y() * stride_y - pad_y; |
| 98 | const int end_x = std::min(start_x + pool_size, upper_bound_w); |
| 99 | const int end_y = std::min(start_y + pool_size, upper_bound_h); |
| 100 | const int val = ((end_y - start_y) * (end_x - start_x)); |
| 101 | return sshr_qs16(scale_values_q16[val], (15 - fixed_point_position)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 102 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 103 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 104 | template <bool exclude_padding> |
| 105 | inline void scale_vector_s16x8(uint16x8_t &v, const Coordinates &id, int id_offset, int step, |
| 106 | const int pool_size, const int upper_bound_w, const int upper_bound_h, |
| 107 | const int pad_x, const int pad_y, const int stride_x, const int stride_y) |
| 108 | { |
| 109 | int start_x = (id.x() + id_offset) * stride_x - pad_x; |
| 110 | int start_y = id.y() * stride_y - pad_y; |
| 111 | const int end_y = std::min(start_y + pool_size, upper_bound_h); |
| 112 | if(exclude_padding) |
| 113 | { |
| 114 | start_y = std::max(0, start_y); |
| 115 | } |
| 116 | |
| 117 | std::array<uint16_t, 8> elems = |
| 118 | { |
| 119 | { |
| 120 | vgetq_lane_u16(v, 0), |
| 121 | vgetq_lane_u16(v, 1), |
| 122 | vgetq_lane_u16(v, 2), |
| 123 | vgetq_lane_u16(v, 3), |
| 124 | vgetq_lane_u16(v, 4), |
| 125 | vgetq_lane_u16(v, 5), |
| 126 | vgetq_lane_u16(v, 6), |
| 127 | vgetq_lane_u16(v, 7), |
| 128 | } |
| 129 | }; |
| 130 | |
| 131 | for(auto &el : elems) |
| 132 | { |
| 133 | int c_start_x = start_x; |
| 134 | const int end_x = std::min(c_start_x + pool_size, upper_bound_w); |
| 135 | if(exclude_padding) |
| 136 | { |
| 137 | c_start_x = std::max(0, c_start_x); |
| 138 | } |
| 139 | float scale = 1.f / ((end_y - start_y) * (end_x - c_start_x)); |
| 140 | el *= scale; |
| 141 | start_x += step * stride_x; |
| 142 | } |
| 143 | |
| 144 | v = vsetq_lane_u16(elems[0], v, 0); |
| 145 | v = vsetq_lane_u16(elems[1], v, 1); |
| 146 | v = vsetq_lane_u16(elems[2], v, 2); |
| 147 | v = vsetq_lane_u16(elems[3], v, 3); |
| 148 | v = vsetq_lane_u16(elems[4], v, 4); |
| 149 | v = vsetq_lane_u16(elems[5], v, 5); |
| 150 | v = vsetq_lane_u16(elems[6], v, 6); |
| 151 | v = vsetq_lane_u16(elems[7], v, 7); |
| 152 | } |
| 153 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 154 | Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, unsigned int &pooled_w, unsigned int pooled_h, int pool_size_x) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 155 | { |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 156 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 157 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 158 | int pool_stride_x = 0; |
| 159 | int pool_stride_y = 0; |
| 160 | PoolingType pool_type = pool_info.pool_type(); |
| 161 | const PadStrideInfo pad_stride_info = pool_info.pad_stride_info(); |
| 162 | const bool exclude_padding = pool_info.exclude_padding(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 163 | std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 164 | static const std::set<int> supported_pool_sizes = { 2, 3 }; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 165 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 166 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::F16, DataType::F32); |
| 167 | ARM_COMPUTE_RETURN_ERROR_ON(pool_type == PoolingType::L2 && is_data_type_quantized(input->data_type())); |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 168 | |
| 169 | ARM_COMPUTE_RETURN_ERROR_ON((supported_pool_sizes.find(pool_size_x) == supported_pool_sizes.end()) && ((input->data_type() != DataType::F32) && (input->data_type() != DataType::QASYMM8)) |
| 170 | && (pool_type != PoolingType::MAX)); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 171 | ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_fixed_point(input->data_type()) && pool_stride_x > 2); |
| 172 | ARM_COMPUTE_RETURN_ERROR_ON(exclude_padding && is_data_type_fixed_point(input->data_type())); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 173 | |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 174 | if(output->total_size() != 0) |
Georgios Pinitas | 1dad50e | 2017-07-03 17:51:34 +0100 | [diff] [blame] | 175 | { |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 176 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 177 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
| 178 | ARM_COMPUTE_RETURN_ERROR_ON((output->dimension(0) != pooled_w) || (output->dimension(1) != pooled_h)); |
Georgios Pinitas | 1dad50e | 2017-07-03 17:51:34 +0100 | [diff] [blame] | 179 | } |
| 180 | |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 181 | return Status{}; |
| 182 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 183 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 184 | Status validate_arguments_pool_info(const unsigned int pool_size_x, const unsigned int pool_size_y) |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 185 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 186 | ARM_COMPUTE_RETURN_ERROR_ON(pool_size_x == 0); |
| 187 | ARM_COMPUTE_RETURN_ERROR_ON(pool_size_y == 0); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 188 | |
| 189 | return Status{}; |
| 190 | } |
| 191 | |
| 192 | std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &pool_info, unsigned int &num_elems_processed_per_iteration, |
| 193 | BorderSize &border_size, |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 194 | unsigned int pooled_w, unsigned int pooled_h, int pool_size_x, int pool_size_y) |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 195 | { |
| 196 | unsigned int num_elems_read_per_iteration = 0; |
| 197 | unsigned int num_elems_horizontal_window = 0; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 198 | int pool_stride_x = 0; |
| 199 | int pool_stride_y = 0; |
| 200 | const int input_width = input->dimension(0); |
| 201 | const int input_height = input->dimension(1); |
| 202 | const PadStrideInfo pad_stride_info = pool_info.pad_stride_info(); |
| 203 | std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 204 | const int pool_pad_right = pad_stride_info.pad_right(); |
| 205 | const int pool_pad_top = pad_stride_info.pad_top(); |
| 206 | const int pool_pad_left = pad_stride_info.pad_left(); |
| 207 | const int pool_pad_bottom = pad_stride_info.pad_bottom(); |
| 208 | const bool is_square = pool_size_x == pool_size_y; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 209 | // Check output dimensions |
| 210 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->dimension(0), |
| 211 | input->dimension(1), |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 212 | pool_size_x, |
| 213 | pool_size_y, |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 214 | pad_stride_info); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 215 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 216 | //If it's not squared and optimized will be executed the MxN |
| 217 | num_elems_read_per_iteration = 1; |
| 218 | num_elems_processed_per_iteration = 1; |
| 219 | num_elems_horizontal_window = 1; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 220 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 221 | if(is_square) |
| 222 | { |
| 223 | switch(input->data_type()) |
| 224 | { |
| 225 | case DataType::QS8: |
| 226 | num_elems_read_per_iteration = 16; |
| 227 | switch(pool_size_x) |
| 228 | { |
| 229 | case 2: |
| 230 | num_elems_horizontal_window = (pool_stride_x == 2) ? 8 : 16; |
| 231 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 8 : 15; |
| 232 | break; |
| 233 | case 3: |
| 234 | num_elems_horizontal_window = (pool_stride_x == 2) ? 8 : 16; |
| 235 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 7 : 14; |
| 236 | break; |
| 237 | default: |
| 238 | break; |
| 239 | } |
| 240 | break; |
| 241 | case DataType::QASYMM8: |
| 242 | switch(pool_size_x) |
| 243 | { |
| 244 | case 2: |
| 245 | num_elems_read_per_iteration = 16; |
| 246 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 8 : 15; |
| 247 | num_elems_horizontal_window = (pool_stride_x == 2) ? 8 : 16; |
| 248 | break; |
| 249 | case 3: |
| 250 | num_elems_read_per_iteration = 16; |
| 251 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 7 : 14; |
| 252 | num_elems_horizontal_window = (pool_stride_x == 2) ? 8 : 16; |
| 253 | break; |
| 254 | default: |
| 255 | break; |
| 256 | } |
| 257 | break; |
| 258 | case DataType::QS16: |
| 259 | num_elems_read_per_iteration = 8; |
| 260 | switch(pool_size_x) |
| 261 | { |
| 262 | case 2: |
| 263 | num_elems_horizontal_window = (pool_stride_x == 2) ? 4 : 8; |
| 264 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 4 : 7; |
| 265 | break; |
| 266 | case 3: |
| 267 | num_elems_horizontal_window = (pool_stride_x == 2) ? 4 : 8; |
| 268 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 3 : 6; |
| 269 | break; |
| 270 | default: |
| 271 | break; |
| 272 | } |
| 273 | break; |
| 274 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 275 | case DataType::F16: |
| 276 | switch(pool_size_x) |
| 277 | { |
| 278 | case 2: |
| 279 | num_elems_read_per_iteration = 16; |
| 280 | num_elems_processed_per_iteration = 8; |
| 281 | num_elems_horizontal_window = 8; |
| 282 | break; |
| 283 | case 3: |
| 284 | num_elems_read_per_iteration = 4; |
| 285 | num_elems_processed_per_iteration = 1; |
| 286 | num_elems_horizontal_window = 1; |
| 287 | break; |
| 288 | default: |
| 289 | break; |
| 290 | } |
| 291 | break; |
| 292 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 293 | case DataType::F32: |
| 294 | switch(pool_size_x) |
| 295 | { |
| 296 | case 2: |
| 297 | num_elems_read_per_iteration = 2; |
| 298 | break; |
| 299 | case 3: |
| 300 | num_elems_read_per_iteration = 4; // We use vload4 for pooling3 |
| 301 | break; |
| 302 | case 7: |
| 303 | num_elems_read_per_iteration = 8; // We use vload8 for pooling7 |
| 304 | break; |
| 305 | default: |
| 306 | break; |
| 307 | } |
| 308 | num_elems_processed_per_iteration = 1; |
| 309 | num_elems_horizontal_window = 1; |
| 310 | break; |
| 311 | default: |
| 312 | ARM_COMPUTE_ERROR("Element size not supported"); |
| 313 | break; |
| 314 | } |
| 315 | } |
Diego Lopez Recas | 61ef5bf | 2017-12-11 12:36:55 +0000 | [diff] [blame] | 316 | // Number of iterations in X dimension |
| 317 | const int num_iterations_x = (pooled_w + num_elems_processed_per_iteration - 1) / num_elems_processed_per_iteration; |
| 318 | |
| 319 | // Upper limit for the number of right/bottom border elements that are accessed |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 320 | const int upper_bound_w = ((num_iterations_x - 1) * num_elems_processed_per_iteration * pool_stride_x - pool_pad_left + num_elems_read_per_iteration) - input_width; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 321 | const int upper_bound_h = ((pooled_h - 1) * pool_stride_y - pool_pad_top + pool_size_y) - input_height; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 322 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 323 | border_size = BorderSize(pool_pad_top, pool_pad_right, pool_pad_bottom, pool_pad_left); |
| 324 | border_size.right = std::max(upper_bound_w, pool_pad_right); |
| 325 | border_size.bottom = std::max(upper_bound_h, pool_pad_bottom); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 326 | bool window_changed = false; |
| 327 | |
| 328 | TensorShape output_shape{ input->tensor_shape() }; |
| 329 | output_shape.set(0, pooled_w); |
| 330 | output_shape.set(1, pooled_h); |
| 331 | TensorInfo output_info(input->clone()->set_tensor_shape(output_shape)); |
| 332 | |
| 333 | Window win = calculate_max_window(output_info, Steps(num_elems_processed_per_iteration)); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 334 | AccessWindowStatic input_access(input, -pool_pad_left, -pool_pad_top, input_width + border_size.right, input_height + border_size.bottom); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 335 | |
| 336 | if(output->total_size() != 0) |
| 337 | { |
| 338 | AccessWindowHorizontal output_access(output, 0, num_elems_horizontal_window); |
| 339 | window_changed = update_window_and_padding(win, input_access, output_access); |
| 340 | output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); |
| 341 | } |
| 342 | else |
| 343 | { |
| 344 | window_changed = update_window_and_padding(win, input_access); |
| 345 | } |
| 346 | |
| 347 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 348 | return std::make_pair(err, win); |
| 349 | } |
| 350 | } // namespace |
| 351 | |
| 352 | NEPoolingLayerKernel::NEPoolingLayerKernel() |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 353 | : _func(nullptr), _input(nullptr), _output(nullptr), _pool_info(), _num_elems_processed_per_iteration(0), _border_size(0), _is_square(false) |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 354 | { |
| 355 | } |
| 356 | |
| 357 | BorderSize NEPoolingLayerKernel::border_size() const |
| 358 | { |
| 359 | return _border_size; |
| 360 | } |
| 361 | |
| 362 | void NEPoolingLayerKernel::configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info) |
| 363 | { |
| 364 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 365 | |
Diego Lopez Recas | 61ef5bf | 2017-12-11 12:36:55 +0000 | [diff] [blame] | 366 | const PoolingType pool_type = pool_info.pool_type(); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 367 | const PadStrideInfo pad_stride_info = pool_info.pad_stride_info(); |
| 368 | const bool exclude_padding = pool_info.exclude_padding(); |
| 369 | const bool is_global_pooling = pool_info.is_global_pooling(); |
Diego Lopez Recas | 61ef5bf | 2017-12-11 12:36:55 +0000 | [diff] [blame] | 370 | const int pool_stride_x = pad_stride_info.stride().first; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 371 | |
| 372 | // Update pool size in case of global pooling |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 373 | const int pool_size_x = is_global_pooling ? input->info()->dimension(0) : pool_info.pool_size().width; |
| 374 | const int pool_size_y = is_global_pooling ? input->info()->dimension(1) : pool_info.pool_size().height; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 375 | |
| 376 | // Validate pool info before calling scaled_dimensions |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 377 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_pool_info(pool_size_x, pool_size_y)); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 378 | |
| 379 | // Check output dimensions |
Diego Lopez Recas | 61ef5bf | 2017-12-11 12:36:55 +0000 | [diff] [blame] | 380 | unsigned int pooled_w, pooled_h; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 381 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->info()->dimension(0), |
| 382 | input->info()->dimension(1), |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 383 | pool_size_x, |
| 384 | pool_size_y, |
Diego Lopez Recas | 61ef5bf | 2017-12-11 12:36:55 +0000 | [diff] [blame] | 385 | pad_stride_info); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 386 | |
| 387 | // Output auto initialization if not yet initialized |
| 388 | auto_init(input->info(), output->info(), pooled_w, pooled_h); |
| 389 | |
| 390 | // Perform validation step |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 391 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), pool_info, pooled_w, pooled_h, pool_size_x)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 392 | |
| 393 | // Set instance variables |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 394 | _input = input; |
| 395 | _output = output; |
| 396 | _pool_info = pool_info; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 397 | _is_square = (pool_size_x == pool_size_y); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 398 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 399 | // Get data type |
| 400 | const DataType data_type = input->info()->data_type(); |
| 401 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 402 | // Select appropriate function |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 403 | if(data_type == DataType::QS8) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 404 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 405 | if(_is_square) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 406 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 407 | switch(pool_size_x) |
| 408 | { |
| 409 | case 2: |
| 410 | switch(pool_type) |
| 411 | { |
| 412 | case PoolingType::AVG: |
| 413 | _func = &NEPoolingLayerKernel::pooling2_q8<PoolingType::AVG>; |
| 414 | break; |
| 415 | case PoolingType::MAX: |
| 416 | _func = &NEPoolingLayerKernel::pooling2_q8<PoolingType::MAX>; |
| 417 | break; |
| 418 | default: |
| 419 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 420 | } |
| 421 | break; |
| 422 | case 3: |
| 423 | switch(pool_type) |
| 424 | { |
| 425 | case PoolingType::AVG: |
| 426 | _func = &NEPoolingLayerKernel::pooling3_q8<PoolingType::AVG>; |
| 427 | break; |
| 428 | case PoolingType::MAX: |
| 429 | _func = &NEPoolingLayerKernel::pooling3_q8<PoolingType::MAX>; |
| 430 | break; |
| 431 | default: |
| 432 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 433 | } |
| 434 | break; |
| 435 | default: |
| 436 | switch(pool_type) |
| 437 | { |
| 438 | case PoolingType::MAX: |
| 439 | _func = &NEPoolingLayerKernel::poolingMxN_q8<PoolingType::MAX>; |
| 440 | break; |
| 441 | default: |
| 442 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 443 | } |
| 444 | break; |
| 445 | } |
| 446 | } |
| 447 | else |
| 448 | { |
| 449 | switch(pool_type) |
| 450 | { |
| 451 | case PoolingType::MAX: |
| 452 | _func = &NEPoolingLayerKernel::poolingMxN_q8<PoolingType::MAX>; |
| 453 | break; |
| 454 | default: |
| 455 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 456 | } |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 457 | } |
| 458 | } |
| 459 | else if(data_type == DataType::QASYMM8) |
| 460 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 461 | if(pool_size_x == 2 && pool_stride_x < 3 && _is_square) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 462 | { |
| 463 | switch(pool_type) |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 464 | { |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 465 | case PoolingType::AVG: |
| 466 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling2_qasymm8<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling2_qasymm8<PoolingType::AVG, false>; |
| 467 | break; |
| 468 | case PoolingType::MAX: |
| 469 | _func = &NEPoolingLayerKernel::pooling2_qasymm8<PoolingType::MAX>; |
| 470 | break; |
| 471 | default: |
| 472 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 473 | } |
| 474 | } |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 475 | else if(pool_size_x == 3 && pool_stride_x < 3 && _is_square) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 476 | { |
| 477 | switch(pool_type) |
| 478 | { |
| 479 | case PoolingType::AVG: |
| 480 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling3_qasymm8<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling3_qasymm8<PoolingType::AVG, false>; |
| 481 | break; |
| 482 | case PoolingType::MAX: |
| 483 | _func = &NEPoolingLayerKernel::pooling3_qasymm8<PoolingType::MAX>; |
| 484 | break; |
| 485 | default: |
| 486 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 487 | } |
| 488 | } |
| 489 | else |
| 490 | { |
| 491 | switch(pool_type) |
| 492 | { |
| 493 | case PoolingType::AVG: |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 494 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_qasymm8<PoolingType::AVG, true> : &NEPoolingLayerKernel::poolingMxN_qasymm8<PoolingType::AVG, false>; |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 495 | break; |
| 496 | case PoolingType::MAX: |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 497 | _func = &NEPoolingLayerKernel::poolingMxN_qasymm8<PoolingType::MAX>; |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 498 | break; |
| 499 | default: |
| 500 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 501 | } |
| 502 | } |
| 503 | } |
| 504 | else if(data_type == DataType::QS16) |
| 505 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 506 | if(_is_square) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 507 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 508 | switch(pool_size_x) |
| 509 | { |
| 510 | case 2: |
| 511 | switch(pool_type) |
| 512 | { |
| 513 | case PoolingType::AVG: |
| 514 | _func = &NEPoolingLayerKernel::pooling2_q16<PoolingType::AVG>; |
| 515 | break; |
| 516 | case PoolingType::MAX: |
| 517 | _func = &NEPoolingLayerKernel::pooling2_q16<PoolingType::MAX>; |
| 518 | break; |
| 519 | default: |
| 520 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 521 | } |
| 522 | break; |
| 523 | case 3: |
| 524 | switch(pool_type) |
| 525 | { |
| 526 | case PoolingType::AVG: |
| 527 | _func = &NEPoolingLayerKernel::pooling3_q16<PoolingType::AVG>; |
| 528 | break; |
| 529 | case PoolingType::MAX: |
| 530 | _func = &NEPoolingLayerKernel::pooling3_q16<PoolingType::MAX>; |
| 531 | break; |
| 532 | default: |
| 533 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 534 | } |
| 535 | break; |
| 536 | default: |
| 537 | switch(pool_type) |
| 538 | { |
| 539 | case PoolingType::MAX: |
| 540 | _func = &NEPoolingLayerKernel::poolingMxN_q16<PoolingType::MAX>; |
| 541 | break; |
| 542 | default: |
| 543 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 544 | } |
| 545 | break; |
| 546 | } |
| 547 | } |
| 548 | else |
| 549 | { |
| 550 | switch(pool_type) |
| 551 | { |
| 552 | case PoolingType::MAX: |
| 553 | _func = &NEPoolingLayerKernel::poolingMxN_q16<PoolingType::MAX>; |
| 554 | break; |
| 555 | default: |
| 556 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 557 | } |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 558 | } |
| 559 | } |
| 560 | else if(data_type == DataType::F16) |
| 561 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 562 | if(_is_square) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 563 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 564 | switch(pool_size_x) |
| 565 | { |
| 566 | case 2: |
| 567 | switch(pool_type) |
| 568 | { |
| 569 | case PoolingType::AVG: |
| 570 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling2_f16<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling2_f16<PoolingType::AVG, false>; |
| 571 | break; |
| 572 | case PoolingType::L2: |
| 573 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling2_f16<PoolingType::L2, true> : &NEPoolingLayerKernel::pooling2_f16<PoolingType::L2, false>; |
| 574 | break; |
| 575 | case PoolingType::MAX: |
| 576 | _func = &NEPoolingLayerKernel::pooling2_f16<PoolingType::MAX, false>; |
| 577 | break; |
| 578 | default: |
| 579 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 580 | } |
| 581 | break; |
| 582 | case 3: |
| 583 | switch(pool_type) |
| 584 | { |
| 585 | case PoolingType::AVG: |
| 586 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling3_f16<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling3_f16<PoolingType::AVG, false>; |
| 587 | break; |
| 588 | case PoolingType::L2: |
| 589 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling3_f16<PoolingType::L2, true> : &NEPoolingLayerKernel::pooling3_f16<PoolingType::L2, false>; |
| 590 | break; |
| 591 | case PoolingType::MAX: |
| 592 | _func = &NEPoolingLayerKernel::pooling3_f16<PoolingType::MAX, false>; |
| 593 | break; |
| 594 | default: |
| 595 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 596 | } |
| 597 | break; |
| 598 | default: |
| 599 | switch(pool_type) |
| 600 | { |
| 601 | case PoolingType::AVG: |
| 602 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::AVG, true> : &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::AVG, false>; |
| 603 | break; |
| 604 | case PoolingType::L2: |
| 605 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::L2, true> : &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::L2, false>; |
| 606 | break; |
| 607 | case PoolingType::MAX: |
| 608 | _func = &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::MAX, false>; |
| 609 | break; |
| 610 | default: |
| 611 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 612 | } |
| 613 | break; |
| 614 | } |
| 615 | } |
| 616 | else |
| 617 | { |
| 618 | switch(pool_type) |
| 619 | { |
| 620 | case PoolingType::AVG: |
| 621 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::AVG, true> : &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::AVG, false>; |
| 622 | break; |
| 623 | case PoolingType::L2: |
| 624 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::L2, true> : &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::L2, false>; |
| 625 | break; |
| 626 | case PoolingType::MAX: |
| 627 | _func = &NEPoolingLayerKernel::poolingMxN_f16<PoolingType::MAX, false>; |
| 628 | break; |
| 629 | default: |
| 630 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 631 | } |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 632 | } |
| 633 | } |
| 634 | else if(data_type == DataType::F32) |
| 635 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 636 | if(_is_square) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 637 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 638 | switch(pool_size_x) |
| 639 | { |
| 640 | case 2: |
| 641 | switch(pool_type) |
| 642 | { |
| 643 | case PoolingType::AVG: |
| 644 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling2_f32<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling2_f32<PoolingType::AVG, false>; |
| 645 | break; |
| 646 | case PoolingType::L2: |
| 647 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling2_f32<PoolingType::L2, true> : &NEPoolingLayerKernel::pooling2_f32<PoolingType::L2, false>; |
| 648 | break; |
| 649 | case PoolingType::MAX: |
| 650 | _func = &NEPoolingLayerKernel::pooling2_f32<PoolingType::MAX, false>; |
| 651 | break; |
| 652 | default: |
| 653 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 654 | } |
| 655 | break; |
| 656 | case 3: |
| 657 | switch(pool_type) |
| 658 | { |
| 659 | case PoolingType::AVG: |
| 660 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling3_f32<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling3_f32<PoolingType::AVG, false>; |
| 661 | break; |
| 662 | case PoolingType::L2: |
| 663 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling3_f32<PoolingType::L2, true> : &NEPoolingLayerKernel::pooling3_f32<PoolingType::L2, false>; |
| 664 | break; |
| 665 | case PoolingType::MAX: |
| 666 | _func = &NEPoolingLayerKernel::pooling3_f32<PoolingType::MAX, false>; |
| 667 | break; |
| 668 | default: |
| 669 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 670 | } |
| 671 | break; |
| 672 | case 7: |
| 673 | switch(pool_type) |
| 674 | { |
| 675 | case PoolingType::AVG: |
| 676 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling7_f32<PoolingType::AVG, true> : &NEPoolingLayerKernel::pooling7_f32<PoolingType::AVG, false>; |
| 677 | break; |
| 678 | case PoolingType::L2: |
| 679 | _func = (exclude_padding) ? &NEPoolingLayerKernel::pooling7_f32<PoolingType::L2, true> : &NEPoolingLayerKernel::pooling7_f32<PoolingType::L2, false>; |
| 680 | break; |
| 681 | case PoolingType::MAX: |
| 682 | _func = &NEPoolingLayerKernel::pooling7_f32<PoolingType::MAX, false>; |
| 683 | break; |
| 684 | default: |
| 685 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 686 | } |
| 687 | break; |
| 688 | default: |
| 689 | switch(pool_type) |
| 690 | { |
| 691 | case PoolingType::AVG: |
| 692 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::AVG, true> : &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::AVG, false>; |
| 693 | break; |
| 694 | case PoolingType::L2: |
| 695 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::L2, true> : &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::L2, false>; |
| 696 | break; |
| 697 | case PoolingType::MAX: |
| 698 | _func = &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::MAX, false>; |
| 699 | break; |
| 700 | default: |
| 701 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 702 | } |
| 703 | break; |
| 704 | } |
| 705 | } |
| 706 | else |
| 707 | { |
| 708 | switch(pool_type) |
| 709 | { |
| 710 | case PoolingType::AVG: |
| 711 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::AVG, true> : &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::AVG, false>; |
| 712 | break; |
| 713 | case PoolingType::L2: |
| 714 | _func = (exclude_padding) ? &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::L2, true> : &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::L2, false>; |
| 715 | break; |
| 716 | case PoolingType::MAX: |
| 717 | _func = &NEPoolingLayerKernel::poolingMxN_f32<PoolingType::MAX, false>; |
| 718 | break; |
| 719 | default: |
| 720 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 721 | } |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 722 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 723 | } |
| 724 | |
| 725 | // Configure kernel window |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 726 | auto win_config = validate_and_configure_window(input->info(), output->info(), pool_info, _num_elems_processed_per_iteration, _border_size, pooled_w, pooled_h, pool_size_x, pool_size_y); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 727 | ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| 728 | INEKernel::configure(win_config.second); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 729 | } |
| 730 | |
| 731 | template <PoolingType pooling_type> |
| 732 | void NEPoolingLayerKernel::pooling2_q8(const Window &window_input, const Window &window) |
| 733 | { |
| 734 | Iterator input(_input, window_input); |
| 735 | Iterator output(_output, window); |
| 736 | |
| 737 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 738 | constexpr int pool_size = 2; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 739 | int pool_stride_x = 0; |
| 740 | int pool_stride_y = 0; |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 741 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 742 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 743 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 744 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 745 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 746 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_right; |
| 747 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_bottom; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 748 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 749 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 750 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 751 | |
| 752 | execute_window_loop(window, [&](const Coordinates & id) |
| 753 | { |
| 754 | const auto top_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_top_ptr + input.offset())); |
| 755 | const auto bottom_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_bottom_ptr + input.offset())); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 756 | qint8x8_t lower_res = {}; |
| 757 | qint8x8_t upper_res = {}; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 758 | if(pooling_type == PoolingType::AVG) |
| 759 | { |
| 760 | // Calculate scale |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 761 | const qint8_t scale = calculate_avg_scale_q8(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y, fixed_point_position); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 762 | const qint8x8_t scale_vec = vdup_n_qs8(scale); |
| 763 | |
| 764 | // Perform pooling |
| 765 | const qint8x16_t sum_data = vqaddq_qs8(top_data, bottom_data); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 766 | lower_res = vqmul_qs8(vpadd_s8(vget_low_s8(sum_data), vget_high_s8(sum_data)), scale_vec, fixed_point_position); |
| 767 | if(pool_stride_x == 1) |
| 768 | { |
| 769 | const qint8x16_t sum_data_shifted = vextq_s8(sum_data, sum_data, 1); |
| 770 | upper_res = vqmul_qs8(vpadd_s8(vget_low_s8(sum_data_shifted), vget_high_s8(sum_data_shifted)), scale_vec, fixed_point_position); |
| 771 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 772 | } |
| 773 | else |
| 774 | { |
| 775 | const qint8x16_t max_data = vmaxq_s8(top_data, bottom_data); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 776 | lower_res = vpmax_s8(vget_low_s8(max_data), vget_high_s8(max_data)); |
| 777 | if(pool_stride_x == 1) |
| 778 | { |
| 779 | const qint8x16_t max_data_shifted = vextq_s8(max_data, max_data, 1); |
| 780 | upper_res = vpmax_s8(vget_low_s8(max_data_shifted), vget_high_s8(max_data_shifted)); |
| 781 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 782 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 783 | if(pool_stride_x == 1) |
| 784 | { |
Georgios Pinitas | dc460f1 | 2017-08-24 19:02:44 +0100 | [diff] [blame] | 785 | const qint8x8x2_t res = { { lower_res, upper_res } }; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 786 | vst2_s8(reinterpret_cast<qint8_t *>(output.ptr()), res); |
| 787 | } |
| 788 | else |
| 789 | { |
| 790 | vst1_qs8(reinterpret_cast<qint8_t *>(output.ptr()), lower_res); |
| 791 | } |
| 792 | }, |
| 793 | input, output); |
| 794 | } |
| 795 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 796 | template <PoolingType pooling_type, bool exclude_padding> |
| 797 | void NEPoolingLayerKernel::pooling2_qasymm8(const Window &window_input, const Window &window) |
| 798 | { |
| 799 | Iterator input(_input, window_input); |
| 800 | Iterator output(_output, window); |
| 801 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 802 | constexpr int pool_size = 2; |
| 803 | int pool_stride_x = 0; |
| 804 | int pool_stride_y = 0; |
| 805 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 806 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 807 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 808 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 809 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 810 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 811 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 812 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 813 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 814 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 815 | |
| 816 | const int scale_step_x = (pool_stride_x == 1) ? 2 : 1; |
| 817 | |
| 818 | execute_window_loop(window, [&](const Coordinates & id) |
| 819 | { |
| 820 | const auto top_data = vld1q_u8(reinterpret_cast<const uint8_t *>(input_top_ptr + input.offset())); |
| 821 | const auto bottom_data = vld1q_u8(reinterpret_cast<const uint8_t *>(input_bottom_ptr + input.offset())); |
| 822 | uint8x8_t lower_res = {}; |
| 823 | uint8x8_t upper_res = {}; |
| 824 | |
| 825 | if(pooling_type != PoolingType::MAX) |
| 826 | { |
| 827 | const uint16x8x2_t top_data_u16 = { { vmovl_u8(vget_low_u8(top_data)), vmovl_u8(vget_high_u8(top_data)) } }; |
| 828 | const uint16x8x2_t bottom_data_u16 = { { vmovl_u8(vget_low_u8(bottom_data)), vmovl_u8(vget_high_u8(bottom_data)) } }; |
| 829 | |
| 830 | // Add rows |
| 831 | const uint16x8x2_t vrsum = |
| 832 | { |
| 833 | { |
| 834 | vaddq_u16(top_data_u16.val[0], bottom_data_u16.val[0]), |
| 835 | vaddq_u16(top_data_u16.val[1], bottom_data_u16.val[1]), |
| 836 | } |
| 837 | }; |
| 838 | |
| 839 | // Pair-wise add row data |
| 840 | const uint16x4x2_t vpsum = |
| 841 | { |
| 842 | { |
| 843 | vpadd_u16(vget_low_u16(vrsum.val[0]), vget_high_u16(vrsum.val[0])), |
| 844 | vpadd_u16(vget_low_u16(vrsum.val[1]), vget_high_u16(vrsum.val[1])), |
| 845 | } |
| 846 | }; |
| 847 | |
| 848 | uint16x8_t res_lower = vcombine_u16(vpsum.val[0], vpsum.val[1]); |
| 849 | |
| 850 | // Scale lower result |
| 851 | scale_vector_s16x8<exclude_padding>(res_lower, id, 0, scale_step_x, |
| 852 | pool_size, upper_bound_w, upper_bound_h, |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 853 | pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 854 | lower_res = vmovn_u16(res_lower); |
| 855 | |
| 856 | // Compute upper result for stride_x == 1 |
| 857 | if(pool_stride_x == 1) |
| 858 | { |
| 859 | // Shifted row sum |
| 860 | const uint16x8x2_t vrsum_shifted = |
| 861 | { |
| 862 | { |
| 863 | vextq_u16(vrsum.val[0], vrsum.val[1], 1), |
| 864 | vextq_u16(vrsum.val[1], vrsum.val[1], 1) |
| 865 | } |
| 866 | }; |
| 867 | |
| 868 | // Pair-wise add shifted row |
| 869 | const uint16x4x2_t vpsum_shifted = |
| 870 | { |
| 871 | { |
| 872 | vpadd_u16(vget_low_u16(vrsum_shifted.val[0]), vget_high_u16(vrsum_shifted.val[0])), |
| 873 | vpadd_u16(vget_low_u16(vrsum_shifted.val[1]), vget_high_u16(vrsum_shifted.val[1])), |
| 874 | } |
| 875 | }; |
| 876 | uint16x8_t res_upper = vcombine_u16(vpsum_shifted.val[0], vpsum_shifted.val[1]); |
| 877 | |
| 878 | // Scale lower result |
| 879 | scale_vector_s16x8<exclude_padding>(res_upper, id, 1, 2, |
| 880 | pool_size, upper_bound_w, upper_bound_h, |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 881 | pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 882 | upper_res = vmovn_u16(res_upper); |
| 883 | } |
| 884 | } |
| 885 | else |
| 886 | { |
| 887 | const uint8x16_t max_data = vmaxq_u8(top_data, bottom_data); |
| 888 | lower_res = vpmax_u8(vget_low_u8(max_data), vget_high_u8(max_data)); |
| 889 | if(pool_stride_x == 1) |
| 890 | { |
| 891 | const uint8x16_t max_data_shifted = vextq_u8(max_data, max_data, 1); |
| 892 | upper_res = vpmax_u8(vget_low_u8(max_data_shifted), vget_high_u8(max_data_shifted)); |
| 893 | } |
| 894 | } |
| 895 | |
| 896 | // Store result |
| 897 | if(pool_stride_x == 1) |
| 898 | { |
| 899 | const uint8x8x2_t res = { { lower_res, upper_res } }; |
| 900 | vst2_u8(reinterpret_cast<uint8_t *>(output.ptr()), res); |
| 901 | } |
| 902 | else |
| 903 | { |
| 904 | vst1_u8(reinterpret_cast<uint8_t *>(output.ptr()), lower_res); |
| 905 | } |
| 906 | }, |
| 907 | input, output); |
| 908 | } |
| 909 | |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 910 | template <PoolingType pooling_type> |
| 911 | void NEPoolingLayerKernel::pooling2_q16(const Window &window_input, const Window &window) |
| 912 | { |
| 913 | Iterator input(_input, window_input); |
| 914 | Iterator output(_output, window); |
| 915 | |
| 916 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 917 | constexpr int pool_size = 2; |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 918 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 919 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 920 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 921 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 922 | int pool_stride_x = 0; |
| 923 | int pool_stride_y = 0; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 924 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 925 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_right; |
| 926 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_bottom; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 927 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 928 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 929 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 930 | |
| 931 | execute_window_loop(window, [&](const Coordinates & id) |
| 932 | { |
| 933 | const auto top_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_top_ptr + input.offset())); |
| 934 | const auto bottom_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_bottom_ptr + input.offset())); |
| 935 | qint16x4_t lower_res = {}; |
| 936 | qint16x4_t upper_res = {}; |
| 937 | if(pooling_type == PoolingType::AVG) |
| 938 | { |
| 939 | // Calculate scale |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 940 | const qint16_t scale = calculate_avg_scale_q16(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y, fixed_point_position); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 941 | const qint16x4_t scale_vec = vdup_n_qs16(scale); |
| 942 | |
| 943 | // Perform pooling |
| 944 | const qint16x8_t sum_data = vqaddq_qs16(top_data, bottom_data); |
| 945 | lower_res = vqmul_qs16(vpadd_s16(vget_low_s16(sum_data), vget_high_s16(sum_data)), scale_vec, fixed_point_position); |
| 946 | if(pool_stride_x == 1) |
| 947 | { |
| 948 | const qint16x8_t sum_data_shifted = vextq_s16(sum_data, sum_data, 1); |
| 949 | upper_res = vqmul_qs16(vpadd_s16(vget_low_s16(sum_data_shifted), vget_high_s16(sum_data_shifted)), scale_vec, fixed_point_position); |
| 950 | } |
| 951 | } |
| 952 | else |
| 953 | { |
| 954 | const qint16x8_t max_data = vmaxq_s16(top_data, bottom_data); |
| 955 | lower_res = vpmax_s16(vget_low_s16(max_data), vget_high_s16(max_data)); |
| 956 | if(pool_stride_x == 1) |
| 957 | { |
| 958 | const qint16x8_t max_data_shifted = vextq_s16(max_data, max_data, 1); |
| 959 | upper_res = vpmax_s16(vget_low_s16(max_data_shifted), vget_high_s16(max_data_shifted)); |
| 960 | } |
| 961 | } |
| 962 | if(pool_stride_x == 1) |
| 963 | { |
Georgios Pinitas | dc460f1 | 2017-08-24 19:02:44 +0100 | [diff] [blame] | 964 | const qint16x4x2_t res = { { lower_res, upper_res } }; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 965 | vst2_s16(reinterpret_cast<qint16_t *>(output.ptr()), res); |
| 966 | } |
| 967 | else |
| 968 | { |
| 969 | vst1_qs16(reinterpret_cast<qint16_t *>(output.ptr()), lower_res); |
| 970 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 971 | }, |
| 972 | input, output); |
| 973 | } |
| 974 | |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 975 | template <PoolingType pooling_type, bool exclude_padding> |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 976 | void NEPoolingLayerKernel::pooling3_f16(const Window &window_input, const Window &window) |
| 977 | { |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 978 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 979 | Iterator input(_input, window_input); |
| 980 | Iterator output(_output, window); |
| 981 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 982 | constexpr const int pool_size = 3; |
| 983 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 984 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 985 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 986 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 987 | int pool_stride_x = 0; |
| 988 | int pool_stride_y = 0; |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 989 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 990 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 991 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 992 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 993 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 994 | const unsigned char *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
| 995 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 2)); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 996 | |
| 997 | execute_window_loop(window, [&](const Coordinates & id) |
| 998 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 999 | float16x4_t top_data = vld1_f16(reinterpret_cast<const float16_t *>(input_top_ptr + input.offset())); |
| 1000 | float16x4_t middle_data = vld1_f16(reinterpret_cast<const float16_t *>(input_middle_ptr + input.offset())); |
| 1001 | float16x4_t bottom_data = vld1_f16(reinterpret_cast<const float16_t *>(input_bottom_ptr + input.offset())); |
| 1002 | float16x4_t res = {}; |
| 1003 | |
| 1004 | // Get power of 2 in case of l2 pooling |
| 1005 | if(pooling_type == PoolingType::L2) |
| 1006 | { |
| 1007 | top_data = vmul_f16(top_data, top_data); |
| 1008 | middle_data = vmul_f16(middle_data, middle_data); |
| 1009 | bottom_data = vmul_f16(bottom_data, bottom_data); |
| 1010 | } |
| 1011 | |
| 1012 | if(pooling_type != PoolingType::MAX) |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1013 | { |
| 1014 | // Calculate scale |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1015 | const float scale = calculate_avg_scale<exclude_padding>(id, pool_size, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1016 | const float16x4_t scale_v = vdup_n_f16(scale); |
| 1017 | // Perform pooling |
| 1018 | const float16x4_t sum_data = vadd_f16(vadd_f16(top_data, bottom_data), middle_data); |
| 1019 | res = vpadd_f16(vset_lane_f16(0.f, sum_data, 3), sum_data); |
| 1020 | res = vmul_f16(vpadd_f16(res, res), scale_v); |
| 1021 | } |
| 1022 | else |
| 1023 | { |
| 1024 | const float16x4_t max_data = vmax_f16(vmax_f16(top_data, bottom_data), middle_data); |
| 1025 | res = vpmax_f16(vset_lane_f16(-std::numeric_limits<float>::max(), max_data, 3), max_data); |
| 1026 | res = vpmax_f16(res, res); |
| 1027 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1028 | |
| 1029 | // Calculate square-root in case of l2 pooling |
| 1030 | if(pooling_type == PoolingType::L2) |
| 1031 | { |
| 1032 | res = vinv_f16(vinvsqrt_f16(res)); |
| 1033 | } |
| 1034 | |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1035 | *(reinterpret_cast<float16_t *>(output.ptr())) = vget_lane_f16(res, 0); |
| 1036 | }, |
| 1037 | input, output); |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 1038 | #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1039 | ARM_COMPUTE_UNUSED(window_input); |
| 1040 | ARM_COMPUTE_UNUSED(window); |
| 1041 | ARM_COMPUTE_ERROR("FP16 Not supported! Recompile the library with arch=arm64-v8.2-a"); |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 1042 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1043 | } |
| 1044 | |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 1045 | template <PoolingType pooling_type, bool exclude_padding> |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1046 | void NEPoolingLayerKernel::pooling2_f16(const Window &window_input, const Window &window) |
| 1047 | { |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 1048 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1049 | Iterator input(_input, window_input); |
| 1050 | Iterator output(_output, window); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1051 | constexpr int pool_size = 2; |
| 1052 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1053 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1054 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1055 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1056 | int pool_stride_x, pool_stride_y = 0; |
| 1057 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 1058 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1059 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1060 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1061 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 1062 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1063 | |
| 1064 | execute_window_loop(window, [&](const Coordinates & id) |
| 1065 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1066 | auto top_data = vld2q_f16(reinterpret_cast<const float16_t *>(input_top_ptr + input.offset())); |
| 1067 | auto bottom_data = vld2q_f16(reinterpret_cast<const float16_t *>(input_bottom_ptr + input.offset())); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1068 | float16x8_t res = {}; |
| 1069 | |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1070 | // Get power of 2 in case of l2 pooling |
| 1071 | if(pooling_type == PoolingType::L2) |
| 1072 | { |
| 1073 | top_data.val[0] = vmulq_f16(top_data.val[0], top_data.val[0]); |
| 1074 | top_data.val[1] = vmulq_f16(top_data.val[1], top_data.val[1]); |
| 1075 | bottom_data.val[0] = vmulq_f16(bottom_data.val[0], bottom_data.val[0]); |
| 1076 | bottom_data.val[1] = vmulq_f16(bottom_data.val[1], bottom_data.val[1]); |
| 1077 | } |
| 1078 | |
| 1079 | if(pooling_type != PoolingType::MAX) |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1080 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1081 | const float scale = calculate_avg_scale<exclude_padding>(id, pool_size, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1082 | const float16x8_t scale_v = vdupq_n_f16(scale); |
| 1083 | res = vmulq_f16(scale_v, vaddq_f16(bottom_data.val[1], vaddq_f16(bottom_data.val[0], vaddq_f16(top_data.val[0], top_data.val[1])))); |
| 1084 | } |
| 1085 | else |
| 1086 | { |
| 1087 | res = vmaxq_f16(bottom_data.val[1], vmaxq_f16(bottom_data.val[0], vmaxq_f16(top_data.val[0], top_data.val[1]))); |
| 1088 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1089 | |
| 1090 | // Calculate square-root in case of l2 pooling |
| 1091 | if(pooling_type == PoolingType::L2) |
| 1092 | { |
| 1093 | res = vinvq_f16(vinvsqrtq_f16(res)); |
| 1094 | } |
| 1095 | |
| 1096 | // Store result |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1097 | vst1q_f16(reinterpret_cast<float16_t *>(output.ptr()), res); |
| 1098 | }, |
| 1099 | input, output); |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 1100 | #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1101 | ARM_COMPUTE_UNUSED(window_input); |
| 1102 | ARM_COMPUTE_UNUSED(window); |
| 1103 | ARM_COMPUTE_ERROR("FP16 Not supported! Recompile the library with arch=arm64-v8.2-a"); |
Ioan-Cristian Szabo | 5edbd1c | 2017-11-13 13:34:08 +0000 | [diff] [blame] | 1104 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1105 | } |
| 1106 | |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 1107 | template <PoolingType pooling_type, bool exclude_padding> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1108 | void NEPoolingLayerKernel::pooling2_f32(const Window &window_input, const Window &window) |
| 1109 | { |
| 1110 | Iterator input(_input, window_input); |
| 1111 | Iterator output(_output, window); |
| 1112 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1113 | constexpr int pool_size = 2; |
| 1114 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1115 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1116 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1117 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1118 | int pool_stride_x = 0; |
| 1119 | int pool_stride_y = 0; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1120 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1121 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1122 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1123 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1124 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 1125 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1126 | |
| 1127 | execute_window_loop(window, [&](const Coordinates & id) |
| 1128 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1129 | float32x2_t top_data = vld1_f32(reinterpret_cast<const float *>(input_top_ptr + input.offset())); |
| 1130 | float32x2_t bottom_data = vld1_f32(reinterpret_cast<const float *>(input_bottom_ptr + input.offset())); |
| 1131 | float32x2_t res = {}; |
| 1132 | float final_res = 0; |
| 1133 | |
| 1134 | // Get power of 2 in case of l2 pooling |
| 1135 | if(pooling_type == PoolingType::L2) |
| 1136 | { |
| 1137 | top_data = vmul_f32(top_data, top_data); |
| 1138 | bottom_data = vmul_f32(bottom_data, bottom_data); |
| 1139 | } |
| 1140 | |
| 1141 | if(pooling_type != PoolingType::MAX) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1142 | { |
| 1143 | // Calculate scale |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1144 | float scale = calculate_avg_scale<exclude_padding>(id, pool_size, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1145 | const float32x2_t scale_v = vdup_n_f32(scale); |
| 1146 | |
| 1147 | // Perform pooling |
| 1148 | const float32x2_t sum_data = vadd_f32(top_data, bottom_data); |
| 1149 | res = vmul_f32(vpadd_f32(sum_data, sum_data), scale_v); |
| 1150 | } |
| 1151 | else |
| 1152 | { |
| 1153 | const float32x2_t max_data = vmax_f32(top_data, bottom_data); |
| 1154 | res = vpmax_f32(max_data, max_data); |
| 1155 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1156 | final_res = vget_lane_f32(res, 0); |
| 1157 | |
| 1158 | // Calculate square-root in case of l2 pooling |
| 1159 | if(pooling_type == PoolingType::L2) |
| 1160 | { |
| 1161 | final_res = sqrt(final_res); |
| 1162 | } |
| 1163 | |
| 1164 | // Store result |
| 1165 | *(reinterpret_cast<float *>(output.ptr())) = final_res; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1166 | }, |
| 1167 | input, output); |
| 1168 | } |
| 1169 | |
| 1170 | template <PoolingType pooling_type> |
| 1171 | void NEPoolingLayerKernel::pooling3_q8(const Window &window_input, const Window &window) |
| 1172 | { |
| 1173 | Iterator input(_input, window_input); |
| 1174 | Iterator output(_output, window); |
| 1175 | |
| 1176 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 1177 | constexpr int pool_size = 3; |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1178 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1179 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1180 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1181 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1182 | int pool_stride_x = 0; |
| 1183 | int pool_stride_y = 0; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1184 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1185 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_right; |
| 1186 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_bottom; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1187 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1188 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 1189 | const uint8_t *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
| 1190 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 2)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1191 | |
| 1192 | execute_window_loop(window, [&](const Coordinates & id) |
| 1193 | { |
| 1194 | const auto top_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_top_ptr + input.offset())); |
| 1195 | const auto middle_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_middle_ptr + input.offset())); |
| 1196 | const auto bottom_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_bottom_ptr + input.offset())); |
| 1197 | qint8x8_t res = {}; |
| 1198 | if(pooling_type == PoolingType::AVG) |
| 1199 | { |
| 1200 | // Calculate scale |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1201 | const qint8_t scale = calculate_avg_scale_q8(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y, fixed_point_position); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1202 | |
| 1203 | // Perform pooling for stride 2 |
| 1204 | const qint8x16_t sum_data = vqaddq_qs8(vqaddq_qs8(top_data, bottom_data), middle_data); |
| 1205 | const qint8x16_t sum_data2 = vextq_s8(sum_data, sum_data, 1); |
| 1206 | const qint8x16_t sum_data3 = vextq_s8(sum_data, sum_data, 2); |
| 1207 | const qint8x16_t final_sum = vqaddq_qs8(vqaddq_qs8(sum_data, sum_data2), sum_data3); |
| 1208 | if(pool_stride_x == 2) |
| 1209 | { |
| 1210 | const qint8x8x2_t table = { { vget_low_s8(final_sum), vget_high_s8(final_sum) } }; |
| 1211 | static const qint8x8_t lookup_val = { 0, 2, 4, 6, 8, 10, 12, 14 }; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1212 | const qint8x8_t scale_vec = vdup_n_qs8(scale); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1213 | res = vtbl2_s8(table, lookup_val); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1214 | res = vqmul_qs8(res, scale_vec, fixed_point_position); |
| 1215 | vst1_qs8(reinterpret_cast<qint8_t *>(output.ptr()), res); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1216 | } |
| 1217 | else |
| 1218 | { |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1219 | const qint8x16_t scale_vec = vdupq_n_qs8(scale); |
| 1220 | vst1q_qs8(reinterpret_cast<qint8_t *>(output.ptr()), vqmulq_qs8(final_sum, scale_vec, fixed_point_position)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1221 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1222 | } |
| 1223 | else |
| 1224 | { |
| 1225 | const qint8x16_t max_data = vmaxq_s8(vmaxq_s8(top_data, bottom_data), middle_data); |
| 1226 | const qint8x16_t max_data2 = vextq_s8(max_data, max_data, 1); |
| 1227 | const qint8x16_t max_data3 = vextq_s8(max_data, max_data, 2); |
| 1228 | const qint8x16_t final_max = vmaxq_s8(vmaxq_s8(max_data, max_data2), max_data3); |
| 1229 | |
| 1230 | if(pool_stride_x == 2) |
| 1231 | { |
| 1232 | const qint8x8x2_t table = { { vget_low_s8(final_max), vget_high_s8(final_max) } }; |
| 1233 | static const qint8x8_t lookup_val = { 0, 2, 4, 6, 8, 10, 12, 14 }; |
| 1234 | res = vtbl2_s8(table, lookup_val); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1235 | vst1_qs8(reinterpret_cast<qint8_t *>(output.ptr()), res); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1236 | } |
| 1237 | else |
| 1238 | { |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1239 | vst1q_qs8(reinterpret_cast<qint8_t *>(output.ptr()), final_max); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1240 | } |
| 1241 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1242 | }, |
| 1243 | input, output); |
| 1244 | } |
| 1245 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1246 | template <PoolingType pooling_type, bool exclude_padding> |
| 1247 | void NEPoolingLayerKernel::pooling3_qasymm8(const Window &window_input, const Window &window) |
| 1248 | { |
| 1249 | Iterator input(_input, window_input); |
| 1250 | Iterator output(_output, window); |
| 1251 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1252 | constexpr int pool_size = 3; |
| 1253 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1254 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1255 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1256 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1257 | int pool_stride_x = 0; |
| 1258 | int pool_stride_y = 0; |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1259 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1260 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1261 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1262 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1263 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 1264 | const uint8_t *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
| 1265 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 2)); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1266 | |
| 1267 | execute_window_loop(window, [&](const Coordinates & id) |
| 1268 | { |
| 1269 | const auto top_data = vld1q_u8(reinterpret_cast<const uint8_t *>(input_top_ptr + input.offset())); |
| 1270 | const auto middle_data = vld1q_u8(reinterpret_cast<const uint8_t *>(input_middle_ptr + input.offset())); |
| 1271 | const auto bottom_data = vld1q_u8(reinterpret_cast<const uint8_t *>(input_bottom_ptr + input.offset())); |
| 1272 | |
| 1273 | if(pooling_type == PoolingType::AVG) |
| 1274 | { |
| 1275 | // Convert data to u16 |
| 1276 | const uint16x8x2_t top_data_u16 = { { vmovl_u8(vget_low_u8(top_data)), vmovl_u8(vget_high_u8(top_data)) } }; |
| 1277 | const uint16x8x2_t middle_data_u16 = { { vmovl_u8(vget_low_u8(middle_data)), vmovl_u8(vget_high_u8(middle_data)) } }; |
| 1278 | const uint16x8x2_t bottom_data_u16 = { { vmovl_u8(vget_low_u8(bottom_data)), vmovl_u8(vget_high_u8(bottom_data)) } }; |
| 1279 | |
| 1280 | // Calculate row sums |
| 1281 | const uint16x8x2_t vrsum = |
| 1282 | { |
| 1283 | { |
| 1284 | vaddq_u16(vaddq_u16(top_data_u16.val[0], bottom_data_u16.val[0]), middle_data_u16.val[0]), |
| 1285 | vaddq_u16(vaddq_u16(top_data_u16.val[1], bottom_data_u16.val[1]), middle_data_u16.val[1]), |
| 1286 | } |
| 1287 | }; |
| 1288 | const uint16x8x2_t vrsum_shifted_1 = |
| 1289 | { |
| 1290 | { |
| 1291 | vextq_u16(vrsum.val[0], vrsum.val[1], 1), |
| 1292 | vextq_u16(vrsum.val[1], vrsum.val[1], 1) |
| 1293 | } |
| 1294 | }; |
| 1295 | const uint16x8x2_t vrsum_shifted_2 = |
| 1296 | { |
| 1297 | { |
| 1298 | vextq_u16(vrsum.val[0], vrsum.val[1], 2), |
| 1299 | vextq_u16(vrsum.val[1], vrsum.val[1], 2) |
| 1300 | } |
| 1301 | }; |
| 1302 | // Calculate final sum |
| 1303 | uint16x8x2_t final_sum = |
| 1304 | { |
| 1305 | { |
| 1306 | vaddq_u16(vaddq_u16(vrsum.val[0], vrsum_shifted_1.val[0]), vrsum_shifted_2.val[0]), |
| 1307 | vaddq_u16(vaddq_u16(vrsum.val[1], vrsum_shifted_1.val[1]), vrsum_shifted_2.val[1]), |
| 1308 | } |
| 1309 | }; |
| 1310 | if(pool_stride_x == 2) |
| 1311 | { |
| 1312 | uint16x8_t res = |
| 1313 | { |
| 1314 | vgetq_lane_u16(final_sum.val[0], 0), |
| 1315 | vgetq_lane_u16(final_sum.val[0], 2), |
| 1316 | vgetq_lane_u16(final_sum.val[0], 4), |
| 1317 | vgetq_lane_u16(final_sum.val[0], 6), |
| 1318 | vgetq_lane_u16(final_sum.val[1], 0), |
| 1319 | vgetq_lane_u16(final_sum.val[1], 2), |
| 1320 | vgetq_lane_u16(final_sum.val[1], 4), |
| 1321 | vgetq_lane_u16(final_sum.val[1], 6), |
| 1322 | }; |
| 1323 | |
| 1324 | scale_vector_s16x8<exclude_padding>(res, id, 0, 1, |
| 1325 | pool_size, upper_bound_w, upper_bound_h, |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1326 | pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1327 | vst1_u8(reinterpret_cast<uint8_t *>(output.ptr()), vmovn_u16(res)); |
| 1328 | } |
| 1329 | else |
| 1330 | { |
| 1331 | // Scale lower result |
| 1332 | scale_vector_s16x8<exclude_padding>(final_sum.val[0], id, 0, 1, |
| 1333 | pool_size, upper_bound_w, upper_bound_h, |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1334 | pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1335 | // Scale lower result |
| 1336 | scale_vector_s16x8<exclude_padding>(final_sum.val[1], id, 8, 1, |
| 1337 | pool_size, upper_bound_w, upper_bound_h, |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1338 | pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1339 | const uint8x16_t res = vcombine_u8(vmovn_u16(final_sum.val[0]), vmovn_u16(final_sum.val[1])); |
| 1340 | vst1q_u8(reinterpret_cast<uint8_t *>(output.ptr()), res); |
| 1341 | } |
| 1342 | } |
| 1343 | else |
| 1344 | { |
| 1345 | const uint8x16_t max_data = vmaxq_u8(vmaxq_u8(top_data, bottom_data), middle_data); |
| 1346 | const uint8x16_t max_data_shift1 = vextq_u8(max_data, max_data, 1); |
| 1347 | const uint8x16_t max_data_shift2 = vextq_u8(max_data, max_data, 2); |
| 1348 | const uint8x16_t final_max = vmaxq_u8(vmaxq_u8(max_data, max_data_shift1), max_data_shift2); |
| 1349 | |
| 1350 | if(pool_stride_x == 2) |
| 1351 | { |
| 1352 | const uint8x8x2_t table = { { vget_low_u8(final_max), vget_high_u8(final_max) } }; |
| 1353 | static const uint8x8_t lookup_val = { 0, 2, 4, 6, 8, 10, 12, 14 }; |
| 1354 | const uint8x8_t res = vtbl2_u8(table, lookup_val); |
| 1355 | vst1_u8(reinterpret_cast<uint8_t *>(output.ptr()), res); |
| 1356 | } |
| 1357 | else |
| 1358 | { |
| 1359 | vst1q_u8(reinterpret_cast<uint8_t *>(output.ptr()), final_max); |
| 1360 | } |
| 1361 | } |
| 1362 | }, |
| 1363 | input, output); |
| 1364 | } |
| 1365 | |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1366 | template <PoolingType pooling_type> |
| 1367 | void NEPoolingLayerKernel::pooling3_q16(const Window &window_input, const Window &window) |
| 1368 | { |
| 1369 | Iterator input(_input, window_input); |
| 1370 | Iterator output(_output, window); |
| 1371 | |
| 1372 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 1373 | constexpr int pool_size = 3; |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1374 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1375 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1376 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1377 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1378 | int pool_stride_x = 0; |
| 1379 | int pool_stride_y = 0; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1380 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1381 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_right; |
| 1382 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_bottom; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1383 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1384 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 1385 | const unsigned char *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
| 1386 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 2)); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1387 | |
| 1388 | execute_window_loop(window, [&](const Coordinates & id) |
| 1389 | { |
| 1390 | const auto top_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_top_ptr + input.offset())); |
| 1391 | const auto middle_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_middle_ptr + input.offset())); |
| 1392 | const auto bottom_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_bottom_ptr + input.offset())); |
| 1393 | |
| 1394 | if(pooling_type == PoolingType::AVG) |
| 1395 | { |
| 1396 | // Calculate scale |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1397 | const qint16_t scale = calculate_avg_scale_q16(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y, fixed_point_position); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1398 | |
| 1399 | // Perform pooling for stride 2 |
| 1400 | const qint16x8_t sum_data = vqaddq_qs16(vqaddq_qs16(top_data, bottom_data), middle_data); |
| 1401 | const qint16x8_t sum_data2 = vextq_s16(sum_data, sum_data, 1); |
| 1402 | const qint16x8_t sum_data3 = vextq_s16(sum_data, sum_data, 2); |
| 1403 | const qint16x8_t final_sum = vqaddq_qs16(vqaddq_qs16(sum_data, sum_data2), sum_data3); |
| 1404 | if(pool_stride_x == 2) |
| 1405 | { |
| 1406 | const qint16x4_t tmp = { vgetq_lane_s16(final_sum, 0), vgetq_lane_s16(final_sum, 2), vgetq_lane_s16(final_sum, 4), vgetq_lane_s16(final_sum, 6) }; |
| 1407 | const qint16x4_t scale_vec = vdup_n_qs16(scale); |
| 1408 | vst1_qs16(reinterpret_cast<qint16_t *>(output.ptr()), vqmul_qs16(tmp, scale_vec, fixed_point_position)); |
| 1409 | } |
| 1410 | else |
| 1411 | { |
| 1412 | const qint16x8_t scale_vec = vdupq_n_qs16(scale); |
| 1413 | vst1q_qs16(reinterpret_cast<qint16_t *>(output.ptr()), vqmulq_qs16(final_sum, scale_vec, fixed_point_position)); |
| 1414 | } |
| 1415 | } |
| 1416 | else |
| 1417 | { |
| 1418 | const qint16x8_t max_data = vmaxq_s16(vmaxq_s16(top_data, bottom_data), middle_data); |
| 1419 | const qint16x8_t max_data2 = vextq_s16(max_data, max_data, 1); |
| 1420 | const qint16x8_t max_data3 = vextq_s16(max_data, max_data, 2); |
| 1421 | const qint16x8_t final_max = vmaxq_s16(vmaxq_s16(max_data, max_data2), max_data3); |
| 1422 | |
| 1423 | if(pool_stride_x == 2) |
| 1424 | { |
| 1425 | const qint16x4_t tmp = { vgetq_lane_s16(final_max, 0), vgetq_lane_s16(final_max, 2), vgetq_lane_s16(final_max, 4), vgetq_lane_s16(final_max, 6) }; |
| 1426 | vst1_qs16(reinterpret_cast<qint16_t *>(output.ptr()), tmp); |
| 1427 | } |
| 1428 | else |
| 1429 | { |
| 1430 | vst1q_qs16(reinterpret_cast<qint16_t *>(output.ptr()), final_max); |
| 1431 | } |
| 1432 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1433 | }, |
| 1434 | input, output); |
| 1435 | } |
| 1436 | |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 1437 | template <PoolingType pooling_type, bool exclude_padding> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1438 | void NEPoolingLayerKernel::pooling3_f32(const Window &window_input, const Window &window) |
| 1439 | { |
| 1440 | Iterator input(_input, window_input); |
| 1441 | Iterator output(_output, window); |
| 1442 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1443 | constexpr const int pool_size = 3; |
| 1444 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1445 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1446 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1447 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1448 | int pool_stride_x = 0; |
| 1449 | int pool_stride_y = 0; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1450 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1451 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1452 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1453 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1454 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top))); |
| 1455 | const uint8_t *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 1)); |
| 1456 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + 2)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1457 | |
| 1458 | execute_window_loop(window, [&](const Coordinates & id) |
| 1459 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1460 | float32x4_t top_data = vld1q_f32(reinterpret_cast<const float *>(input_top_ptr + input.offset())); |
| 1461 | float32x4_t middle_data = vld1q_f32(reinterpret_cast<const float *>(input_middle_ptr + input.offset())); |
| 1462 | float32x4_t bottom_data = vld1q_f32(reinterpret_cast<const float *>(input_bottom_ptr + input.offset())); |
| 1463 | float32x2_t res = {}; |
| 1464 | float final_res = 0; |
| 1465 | |
| 1466 | // Get power of 2 in case of l2 pooling |
| 1467 | if(pooling_type == PoolingType::L2) |
| 1468 | { |
| 1469 | top_data = vmulq_f32(top_data, top_data); |
| 1470 | middle_data = vmulq_f32(middle_data, middle_data); |
| 1471 | bottom_data = vmulq_f32(bottom_data, bottom_data); |
| 1472 | } |
| 1473 | |
| 1474 | if(pooling_type != PoolingType::MAX) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1475 | { |
| 1476 | // Calculate scale |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1477 | float scale = calculate_avg_scale<exclude_padding>(id, pool_size, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1478 | const float32x2_t scale_v = vdup_n_f32(scale); |
| 1479 | |
| 1480 | // Perform pooling |
| 1481 | const float32x4_t sum_data = vaddq_f32(vaddq_f32(top_data, bottom_data), middle_data); |
| 1482 | res = vpadd_f32(vget_high_f32(vsetq_lane_f32(0.f, sum_data, 3)), vget_low_f32(sum_data)); |
| 1483 | res = vmul_f32(vpadd_f32(res, res), scale_v); |
| 1484 | } |
| 1485 | else |
| 1486 | { |
| 1487 | const float32x4_t max_data = vmaxq_f32(vmaxq_f32(top_data, bottom_data), middle_data); |
| 1488 | res = vpmax_f32(vget_high_f32(vsetq_lane_f32(-std::numeric_limits<float>::max(), max_data, 3)), vget_low_f32(max_data)); |
| 1489 | res = vpmax_f32(res, res); |
| 1490 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1491 | final_res = vget_lane_f32(res, 0); |
| 1492 | |
| 1493 | // Calculate square-root in case of l2 pooling |
| 1494 | if(pooling_type == PoolingType::L2) |
| 1495 | { |
| 1496 | final_res = sqrt(final_res); |
| 1497 | } |
| 1498 | |
| 1499 | // Store result |
| 1500 | *(reinterpret_cast<float *>(output.ptr())) = final_res; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1501 | }, |
| 1502 | input, output); |
| 1503 | } |
| 1504 | |
Georgios Pinitas | adaae7e | 2017-10-30 15:56:32 +0000 | [diff] [blame] | 1505 | template <PoolingType pooling_type, bool exclude_padding> |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1506 | void NEPoolingLayerKernel::pooling7_f32(const Window &window_input, const Window &window) |
| 1507 | { |
| 1508 | Iterator input(_input, window_input); |
| 1509 | Iterator output(_output, window); |
| 1510 | |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1511 | constexpr const int pool_size = 7; |
| 1512 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1513 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1514 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1515 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1516 | int pool_stride_x = 0; |
| 1517 | int pool_stride_y = 0; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1518 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1519 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1520 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1521 | |
| 1522 | std::array<const uint8_t *, pool_size> input_ptrs{ {} }; |
| 1523 | for(int i = 0; i < pool_size; ++i) |
| 1524 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1525 | input_ptrs[i] = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_left), -static_cast<int>(pool_pad_top) + i)); |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1526 | } |
| 1527 | |
| 1528 | execute_window_loop(window, [&](const Coordinates & id) |
| 1529 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1530 | float32x2_t res = {}; |
| 1531 | float final_res = 0.f; |
| 1532 | if(pooling_type != PoolingType::MAX) |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1533 | { |
| 1534 | // Calculate scale |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1535 | float scale = calculate_avg_scale<exclude_padding>(id, pool_size, pool_size, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1536 | const float32x2_t scale_v = vdup_n_f32(scale); |
| 1537 | |
| 1538 | // Perform pooling |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1539 | float32x4x2_t data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[0] + input.offset())); |
| 1540 | // Get power of 2 in case of l2 pooling |
| 1541 | if(pooling_type == PoolingType::L2) |
| 1542 | { |
| 1543 | data.val[0] = vmulq_f32(data.val[0], data.val[0]); |
| 1544 | data.val[1] = vmulq_f32(data.val[1], data.val[1]); |
| 1545 | } |
| 1546 | float32x4_t sum_data = vaddq_f32(data.val[0], vsetq_lane_f32(0.f, data.val[1], 3)); |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1547 | for(int i = 1; i < pool_size; ++i) |
| 1548 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1549 | data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[i] + input.offset())); |
| 1550 | // Get power of 2 in case of l2 pooling |
| 1551 | if(pooling_type == PoolingType::L2) |
| 1552 | { |
| 1553 | data.val[0] = vmulq_f32(data.val[0], data.val[0]); |
| 1554 | data.val[1] = vmulq_f32(data.val[1], data.val[1]); |
| 1555 | } |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1556 | sum_data = vaddq_f32(sum_data, data.val[0]); |
| 1557 | sum_data = vaddq_f32(sum_data, vsetq_lane_f32(0.f, data.val[1], 3)); |
| 1558 | } |
| 1559 | res = vpadd_f32(vget_high_f32(sum_data), vget_low_f32(sum_data)); |
| 1560 | res = vmul_f32(vpadd_f32(res, res), scale_v); |
| 1561 | } |
| 1562 | else |
| 1563 | { |
| 1564 | float32x4x2_t max_data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[0] + input.offset())); |
| 1565 | for(int i = 1; i < pool_size; ++i) |
| 1566 | { |
| 1567 | const float32x4x2_t data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[i] + input.offset())); |
| 1568 | max_data = vmax2q_f32(max_data, data); |
| 1569 | } |
| 1570 | res = vpmax_f32(vget_high_f32(vsetq_lane_f32(-std::numeric_limits<float>::max(), max_data.val[1], 3)), vget_low_f32(max_data.val[1])); |
| 1571 | res = vpmax_f32(res, vpmax_f32(vget_high_f32(max_data.val[0]), vget_low_f32(max_data.val[0]))); |
| 1572 | res = vpmax_f32(res, res); |
| 1573 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 1574 | final_res = vget_lane_f32(res, 0); |
| 1575 | |
| 1576 | // Calculate square-root in case of l2 pooling |
| 1577 | if(pooling_type == PoolingType::L2) |
| 1578 | { |
| 1579 | final_res = sqrt(final_res); |
| 1580 | } |
| 1581 | |
| 1582 | // Store result |
| 1583 | *(reinterpret_cast<float *>(output.ptr())) = final_res; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1584 | }, |
| 1585 | input, output); |
| 1586 | } |
| 1587 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1588 | template <PoolingType pooling_type> |
| 1589 | void NEPoolingLayerKernel::poolingMxN_q8(const Window &window_input, const Window &window) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1590 | { |
| 1591 | Iterator input(_input, window_input); |
| 1592 | Iterator output(_output, window); |
| 1593 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1594 | const int pool_size_x = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().x() : _pool_info.pool_size().width; |
| 1595 | const int pool_size_y = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().y() : _pool_info.pool_size().height; |
| 1596 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1597 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1598 | int pool_stride_x = 0; |
| 1599 | int pool_stride_y = 0; |
| 1600 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 1601 | |
| 1602 | execute_window_loop(window, [&](const Coordinates & id) |
| 1603 | { |
| 1604 | qint8x16_t vres = {}; |
| 1605 | qint8_t res = {}; |
| 1606 | |
| 1607 | //PoolingType::MAX |
| 1608 | for(int y = 0; y < pool_size_y; ++y) |
| 1609 | { |
| 1610 | int x = 0; |
| 1611 | for(; x <= (pool_size_x - 16); x += 16) |
| 1612 | { |
| 1613 | const qint8x16_t data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1614 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1615 | vres = vmaxq_s8(vres, data); |
| 1616 | } |
| 1617 | |
| 1618 | // Leftover for loop |
| 1619 | for(; x < pool_size_x; ++x) |
| 1620 | { |
| 1621 | qint8_t data = *(reinterpret_cast<const qint8_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1622 | res = std::max(res, data); |
| 1623 | } |
| 1624 | } |
| 1625 | //Reduce |
| 1626 | const qint8x8_t half_vres = vpmax_s8(vget_low_s8(vres), vget_high_s8(vres)); |
| 1627 | res = std::max(res, vget_lane_s8(half_vres, 0)); |
| 1628 | res = std::max(res, vget_lane_s8(half_vres, 1)); |
| 1629 | res = std::max(res, vget_lane_s8(half_vres, 2)); |
| 1630 | res = std::max(res, vget_lane_s8(half_vres, 3)); |
| 1631 | res = std::max(res, vget_lane_s8(half_vres, 4)); |
| 1632 | res = std::max(res, vget_lane_s8(half_vres, 5)); |
| 1633 | res = std::max(res, vget_lane_s8(half_vres, 6)); |
| 1634 | res = std::max(res, vget_lane_s8(half_vres, 7)); |
| 1635 | |
| 1636 | // Store result |
| 1637 | *(reinterpret_cast<qint8_t *>(output.ptr())) = res; |
| 1638 | }, |
| 1639 | input, output); |
| 1640 | } |
| 1641 | |
| 1642 | template <PoolingType pooling_type> |
| 1643 | void NEPoolingLayerKernel::poolingMxN_q16(const Window &window_input, const Window &window) |
| 1644 | { |
| 1645 | Iterator input(_input, window_input); |
| 1646 | Iterator output(_output, window); |
| 1647 | |
| 1648 | const int pool_size_x = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().x() : _pool_info.pool_size().width; |
| 1649 | const int pool_size_y = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().y() : _pool_info.pool_size().height; |
| 1650 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1651 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1652 | int pool_stride_x = 0; |
| 1653 | int pool_stride_y = 0; |
| 1654 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 1655 | |
| 1656 | execute_window_loop(window, [&](const Coordinates & id) |
| 1657 | { |
| 1658 | qint16x8_t vres = {}; |
| 1659 | qint16_t res = {}; |
| 1660 | |
| 1661 | //PoolingType::MAX |
| 1662 | for(int y = 0; y < pool_size_y; ++y) |
| 1663 | { |
| 1664 | int x = 0; |
| 1665 | for(; x <= (pool_size_x - 8); x += 8) |
| 1666 | { |
| 1667 | const qint16x8_t data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1668 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1669 | vres = vmaxq_s16(vres, data); |
| 1670 | } |
| 1671 | |
| 1672 | // Leftover for loop |
| 1673 | for(; x < pool_size_x; ++x) |
| 1674 | { |
| 1675 | qint16_t data = *(reinterpret_cast<const qint16_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1676 | res = std::max(res, data); |
| 1677 | } |
| 1678 | } |
| 1679 | //Reduce |
| 1680 | const qint16x4_t half_vres = vpmax_s16(vget_low_s16(vres), vget_high_s16(vres)); |
| 1681 | res = std::max(res, vget_lane_s16(half_vres, 0)); |
| 1682 | res = std::max(res, vget_lane_s16(half_vres, 1)); |
| 1683 | res = std::max(res, vget_lane_s16(half_vres, 2)); |
| 1684 | res = std::max(res, vget_lane_s16(half_vres, 3)); |
| 1685 | |
| 1686 | // Store result |
| 1687 | *(reinterpret_cast<qint16_t *>(output.ptr())) = res; |
| 1688 | }, |
| 1689 | input, output); |
| 1690 | } |
| 1691 | |
| 1692 | template <PoolingType pooling_type, bool exclude_padding> |
| 1693 | void NEPoolingLayerKernel::poolingMxN_f16(const Window &window_input, const Window &window) |
| 1694 | { |
| 1695 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 1696 | Iterator input(_input, window_input); |
| 1697 | Iterator output(_output, window); |
| 1698 | |
| 1699 | const int pool_size_x = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().x() : _pool_info.pool_size().width; |
| 1700 | const int pool_size_y = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().y() : _pool_info.pool_size().height; |
| 1701 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1702 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1703 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1704 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1705 | int pool_stride_x = 0; |
| 1706 | int pool_stride_y = 0; |
| 1707 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 1708 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1709 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
| 1710 | |
| 1711 | execute_window_loop(window, [&](const Coordinates & id) |
| 1712 | { |
| 1713 | float16_t res = 0.0f; |
| 1714 | float16x8_t vres = vdupq_n_f16(0.0f); |
| 1715 | |
| 1716 | if(pooling_type != PoolingType::MAX) |
| 1717 | { |
| 1718 | // Calculate scale |
| 1719 | const float scale = calculate_avg_scale<exclude_padding>(id, pool_size_x, pool_size_y, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
| 1720 | |
| 1721 | // Perform pooling |
| 1722 | |
| 1723 | for(int y = 0; y < pool_size_y; ++y) |
| 1724 | { |
| 1725 | int x = 0; |
| 1726 | for(; x <= (pool_size_x - 8); x += 8) |
| 1727 | { |
| 1728 | const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1729 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1730 | |
| 1731 | // Get power of 2 in case of l2 pooling and accumulate |
| 1732 | if(pooling_type == PoolingType::L2) |
| 1733 | { |
| 1734 | vres = vaddq_f16(vres, vmulq_f16(data, data)); |
| 1735 | } |
| 1736 | else |
| 1737 | { |
| 1738 | vres = vaddq_f16(vres, data); |
| 1739 | } |
| 1740 | } |
| 1741 | |
| 1742 | // Leftover for loop |
| 1743 | for(; x < pool_size_x; ++x) |
| 1744 | { |
| 1745 | float16_t data = *(reinterpret_cast<const float16_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1746 | |
| 1747 | // Get power of 2 in case of l2 pooling |
| 1748 | if(pooling_type == PoolingType::L2) |
| 1749 | { |
| 1750 | data *= data; |
| 1751 | } |
| 1752 | |
| 1753 | res += data; |
| 1754 | } |
| 1755 | } |
| 1756 | |
| 1757 | // Reduction |
| 1758 | float16x4_t tmp = vpadd_f16(vget_high_f16(vres), vget_low_f16(vres)); |
| 1759 | res += vget_lane_f16(tmp, 0); |
| 1760 | res += vget_lane_f16(tmp, 1); |
| 1761 | res += vget_lane_f16(tmp, 2); |
| 1762 | res += vget_lane_f16(tmp, 3); |
| 1763 | |
| 1764 | // Divide by scale |
| 1765 | res *= scale; |
| 1766 | } |
| 1767 | else |
| 1768 | { |
| 1769 | float16x8_t vres = vdupq_n_f16(std::numeric_limits<float>::lowest()); |
| 1770 | res = std::numeric_limits<float>::lowest(); |
| 1771 | |
| 1772 | for(int y = 0; y < pool_size_y; ++y) |
| 1773 | { |
| 1774 | int x = 0; |
| 1775 | for(; x <= (pool_size_x - 8); x += 8) |
| 1776 | { |
| 1777 | const float16x8_t data = vld1q_f16(reinterpret_cast<const float16_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1778 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1779 | vres = vmaxq_f16(vres, data); |
| 1780 | } |
| 1781 | |
| 1782 | // Leftover for loop |
| 1783 | for(; x < pool_size_x; ++x) |
| 1784 | { |
| 1785 | const float16_t data = *(reinterpret_cast<const float16_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
| 1786 | res = std::max(res, data); |
| 1787 | } |
| 1788 | } |
| 1789 | |
| 1790 | float16x4_t tmp = vpmax_f16(vget_high_f16(vres), vget_low_f16(vres)); |
| 1791 | res = std::max(res, vget_lane_f16(tmp, 0)); |
| 1792 | res = std::max(res, vget_lane_f16(tmp, 1)); |
| 1793 | res = std::max(res, vget_lane_f16(tmp, 2)); |
| 1794 | res = std::max(res, vget_lane_f16(tmp, 3)); |
| 1795 | } |
| 1796 | |
| 1797 | // Calculate square-root in case of l2 pooling |
| 1798 | if(pooling_type == PoolingType::L2) |
| 1799 | { |
| 1800 | res = std::sqrt(res); |
| 1801 | } |
| 1802 | |
| 1803 | // Store result |
| 1804 | *(reinterpret_cast<float16_t *>(output.ptr())) = res; |
| 1805 | }, |
| 1806 | input, output); |
| 1807 | |
| 1808 | #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 1809 | ARM_COMPUTE_UNUSED(window_input); |
| 1810 | ARM_COMPUTE_UNUSED(window); |
| 1811 | ARM_COMPUTE_ERROR("FP16 Not supported! Recompile the library with arch=arm64-v8.2-a"); |
| 1812 | #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| 1813 | } |
| 1814 | |
| 1815 | template <PoolingType pooling_type, bool exclude_padding> |
| 1816 | void NEPoolingLayerKernel::poolingMxN_f32(const Window &window_input, const Window &window) |
| 1817 | { |
| 1818 | Iterator input(_input, window_input); |
| 1819 | Iterator output(_output, window); |
| 1820 | |
| 1821 | const int pool_size_x = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().x() : _pool_info.pool_size().width; |
| 1822 | const int pool_size_y = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().y() : _pool_info.pool_size().height; |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1823 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1824 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1825 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1826 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1827 | int pool_stride_x = 0; |
| 1828 | int pool_stride_y = 0; |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1829 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1830 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1831 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1832 | |
| 1833 | execute_window_loop(window, [&](const Coordinates & id) |
| 1834 | { |
| 1835 | float res = 0.0f; |
| 1836 | |
| 1837 | if(pooling_type != PoolingType::MAX) |
| 1838 | { |
| 1839 | // Calculate scale |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1840 | const float scale = calculate_avg_scale<exclude_padding>(id, pool_size_x, pool_size_y, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1841 | |
| 1842 | // Perform pooling |
| 1843 | float32x4_t vres = vdupq_n_f32(0.0f); |
| 1844 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1845 | for(int y = 0; y < pool_size_y; ++y) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1846 | { |
| 1847 | int x = 0; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1848 | for(; x <= (pool_size_x - 4); x += 4) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1849 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1850 | const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1851 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1852 | |
| 1853 | // Get power of 2 in case of l2 pooling and accumulate |
| 1854 | if(pooling_type == PoolingType::L2) |
| 1855 | { |
| 1856 | vres = vmlaq_f32(vres, data, data); |
| 1857 | } |
| 1858 | else |
| 1859 | { |
| 1860 | vres = vaddq_f32(vres, data); |
| 1861 | } |
| 1862 | } |
| 1863 | |
| 1864 | // Leftover for loop |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1865 | for(; x < pool_size_x; ++x) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1866 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1867 | float data = *(reinterpret_cast<const float *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1868 | |
| 1869 | // Get power of 2 in case of l2 pooling |
| 1870 | if(pooling_type == PoolingType::L2) |
| 1871 | { |
| 1872 | data *= data; |
| 1873 | } |
| 1874 | |
| 1875 | res += data; |
| 1876 | } |
| 1877 | } |
| 1878 | |
| 1879 | #if defined(__aarch64__) |
| 1880 | // Reduction operation available on 64 bit architectures only |
| 1881 | res += vaddvq_f32(vres); |
| 1882 | #else // __aarch64__ |
| 1883 | // Reduction |
| 1884 | float32x2_t tmp = vpadd_f32(vget_high_f32(vres), vget_low_f32(vres)); |
| 1885 | tmp = vpadd_f32(tmp, tmp); |
| 1886 | |
| 1887 | res += vget_lane_f32(tmp, 0); |
| 1888 | #endif // __aarch64__ |
| 1889 | // Divide by scale |
| 1890 | res *= scale; |
| 1891 | } |
| 1892 | else |
| 1893 | { |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1894 | float32x4_t vres = vdupq_n_f32(std::numeric_limits<float>::lowest()); |
| 1895 | res = std::numeric_limits<float>::lowest(); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1896 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1897 | for(int y = 0; y < pool_size_y; ++y) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1898 | { |
| 1899 | int x = 0; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1900 | for(; x <= (pool_size_x - 4); x += 4) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1901 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1902 | const float32x4_t data = vld1q_f32(reinterpret_cast<const float *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1903 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1904 | vres = vmaxq_f32(vres, data); |
| 1905 | } |
| 1906 | |
| 1907 | // Leftover for loop |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1908 | for(; x < pool_size_x; ++x) |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1909 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1910 | const float data = *(reinterpret_cast<const float *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Gian Marco Iodice | 1682430 | 2017-09-28 15:41:37 +0100 | [diff] [blame] | 1911 | res = std::max(res, data); |
| 1912 | } |
| 1913 | } |
| 1914 | |
| 1915 | #if defined(__aarch64__) |
| 1916 | // Reduction operation available on 64 bit architectures only |
| 1917 | res = std::max(vmaxvq_f32(vres), res); |
| 1918 | #else // __aarch64__ |
| 1919 | float32x2_t tmp = vpmax_f32(vget_high_f32(vres), vget_low_f32(vres)); |
| 1920 | tmp = vpmax_f32(tmp, tmp); |
| 1921 | |
| 1922 | res = std::max(res, vget_lane_f32(tmp, 0)); |
| 1923 | #endif // __aarch64__ |
| 1924 | } |
| 1925 | |
| 1926 | // Calculate square-root in case of l2 pooling |
| 1927 | if(pooling_type == PoolingType::L2) |
| 1928 | { |
| 1929 | res = std::sqrt(res); |
| 1930 | } |
| 1931 | |
| 1932 | // Store result |
| 1933 | *(reinterpret_cast<float *>(output.ptr())) = res; |
| 1934 | }, |
| 1935 | input, output); |
| 1936 | } |
| 1937 | |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1938 | template <PoolingType pooling_type, bool exclude_padding> |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1939 | void NEPoolingLayerKernel::poolingMxN_qasymm8(const Window &window_input, const Window &window) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1940 | { |
| 1941 | Iterator input(_input, window_input); |
| 1942 | Iterator output(_output, window); |
| 1943 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1944 | const int pool_size_x = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().x() : _pool_info.pool_size().width; |
| 1945 | const int pool_size_y = _pool_info.is_global_pooling() ? _input->info()->tensor_shape().y() : _pool_info.pool_size().height; |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1946 | const int pool_pad_right = _pool_info.pad_stride_info().pad_right(); |
| 1947 | const int pool_pad_top = _pool_info.pad_stride_info().pad_top(); |
| 1948 | const int pool_pad_left = _pool_info.pad_stride_info().pad_left(); |
| 1949 | const int pool_pad_bottom = _pool_info.pad_stride_info().pad_bottom(); |
| 1950 | int pool_stride_x = 0; |
| 1951 | int pool_stride_y = 0; |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1952 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1953 | const int upper_bound_w = _input->info()->dimension(0) + (exclude_padding ? 0 : pool_pad_right); |
| 1954 | const int upper_bound_h = _input->info()->dimension(1) + (exclude_padding ? 0 : pool_pad_bottom); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1955 | |
| 1956 | execute_window_loop(window, [&](const Coordinates & id) |
| 1957 | { |
| 1958 | uint8_t res = 0; |
| 1959 | |
| 1960 | if(pooling_type != PoolingType::MAX) |
| 1961 | { |
| 1962 | uint32x4_t vres = vdupq_n_u32(0); |
| 1963 | uint32_t sres = 0; |
| 1964 | |
| 1965 | // Calculate scale |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1966 | const float scale = calculate_avg_scale<exclude_padding>(id, pool_size_x, pool_size_y, upper_bound_w, upper_bound_h, pool_pad_left, pool_pad_top, pool_stride_x, pool_stride_y); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1967 | |
| 1968 | // Perform pooling |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1969 | for(int y = 0; y < pool_size_y; ++y) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1970 | { |
| 1971 | int x = 0; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1972 | for(; x <= (pool_size_x - 8); x += 8) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1973 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1974 | const uint8x8_t data = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 1975 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1976 | |
| 1977 | const uint16x8_t data_u16 = vmovl_u8(data); |
| 1978 | vres = vaddq_u32(vres, vaddl_u16(vget_high_u16(data_u16), vget_low_u16(data_u16))); |
| 1979 | } |
| 1980 | |
| 1981 | // Leftover for loop |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 1982 | for(; x < pool_size_x; ++x) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1983 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 1984 | uint8_t data = *(reinterpret_cast<const uint8_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 1985 | sres += data; |
| 1986 | } |
| 1987 | } |
| 1988 | |
| 1989 | // Reduction |
| 1990 | const auto tmp = vpadd_u32(vget_high_u32(vres), vget_low_u32(vres)); |
| 1991 | sres += vget_lane_u32(tmp, 0) + vget_lane_u32(tmp, 1); |
| 1992 | |
| 1993 | // Divide by scale |
| 1994 | res = static_cast<uint8_t>(support::cpp11::round(sres * scale)); |
| 1995 | } |
| 1996 | else |
| 1997 | { |
| 1998 | uint8x8_t vres = vdup_n_u8(0); |
| 1999 | res = 0; |
| 2000 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2001 | for(int y = 0; y < pool_size_y; ++y) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2002 | { |
| 2003 | int x = 0; |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2004 | for(; x <= (pool_size_x - 8); x += 8) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2005 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 2006 | const uint8x8_t data = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + |
| 2007 | (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2008 | vres = vmax_u8(vres, data); |
| 2009 | } |
| 2010 | |
| 2011 | // Leftover for loop |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2012 | for(; x < pool_size_x; ++x) |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2013 | { |
Michalis Spyrou | bd0e612 | 2018-01-23 09:52:16 +0000 | [diff] [blame] | 2014 | const uint8_t data = *(reinterpret_cast<const uint8_t *>(input.ptr() + (x - pool_pad_left) * _input->info()->strides_in_bytes().x() + (y - pool_pad_top) * _input->info()->strides_in_bytes().y())); |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2015 | res = std::max(res, data); |
| 2016 | } |
| 2017 | } |
| 2018 | |
| 2019 | // Reduce max |
| 2020 | vres = vpmax_u8(vres, vres); |
| 2021 | vres = vpmax_u8(vres, vres); |
| 2022 | vres = vpmax_u8(vres, vres); |
| 2023 | |
| 2024 | // Get max value |
| 2025 | res = std::max(res, vget_lane_u8(vres, 0)); |
| 2026 | } |
| 2027 | |
| 2028 | // Store result |
| 2029 | *(reinterpret_cast<uint8_t *>(output.ptr())) = res; |
| 2030 | }, |
| 2031 | input, output); |
| 2032 | } |
| 2033 | |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 2034 | Status NEPoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info) |
| 2035 | { |
| 2036 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); |
| 2037 | |
| 2038 | unsigned int pooled_w = 0; |
| 2039 | unsigned int pooled_h = 0; |
| 2040 | unsigned int num_elems_processed_per_iteration = 0; |
| 2041 | BorderSize border_size(0); |
| 2042 | |
| 2043 | const bool is_global_pooling = pool_info.is_global_pooling(); |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2044 | const unsigned int pool_size_x = is_global_pooling ? input->tensor_shape().x() : pool_info.pool_size().width; |
| 2045 | const unsigned int pool_size_y = is_global_pooling ? input->tensor_shape().y() : pool_info.pool_size().height; |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 2046 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2047 | // Validate pool info before calling scaled_dimensions |
| 2048 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_pool_info(pool_size_x, pool_size_y)); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 2049 | |
| 2050 | // Check output dimensions |
| 2051 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->dimension(0), |
| 2052 | input->dimension(1), |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2053 | pool_size_x, |
| 2054 | pool_size_y, |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 2055 | pool_info.pad_stride_info()); |
| 2056 | |
Isabella Gottardi | 7567f5f | 2018-01-30 15:26:00 +0000 | [diff] [blame] | 2057 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, pool_info, pooled_w, pooled_h, pool_size_x)); |
| 2058 | ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), pool_info, num_elems_processed_per_iteration, border_size, pooled_w, pooled_h, |
| 2059 | pool_size_x, pool_size_y) |
| 2060 | .first); |
Michalis Spyrou | afa5d81 | 2017-11-30 14:25:57 +0000 | [diff] [blame] | 2061 | |
| 2062 | return Status{}; |
| 2063 | } |
| 2064 | |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 2065 | void NEPoolingLayerKernel::run(const Window &window, const ThreadInfo &info) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2066 | { |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 2067 | ARM_COMPUTE_UNUSED(info); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2068 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 2069 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 2070 | ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| 2071 | |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 2072 | const unsigned int pool_stride_x = _pool_info.pad_stride_info().stride().first; |
| 2073 | const unsigned int pool_stride_y = _pool_info.pad_stride_info().stride().second; |
Isabella Gottardi | 6e464c3 | 2018-01-26 12:32:45 +0000 | [diff] [blame] | 2074 | const unsigned int pool_size = _pool_info.pool_size().width; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2075 | |
| 2076 | // Set step for input in x and y direction for the input |
| 2077 | Window window_input(window); |
| 2078 | unsigned int window_x_inc = 0; |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 2079 | switch(_input->info()->data_type()) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2080 | { |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 2081 | case DataType::QS8: |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 2082 | case DataType::QS16: |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 2083 | case DataType::F16: |
| 2084 | { |
| 2085 | window_x_inc = (pool_stride_x == 2) ? _num_elems_processed_per_iteration * 2 : _num_elems_processed_per_iteration; |
| 2086 | break; |
| 2087 | } |
Georgios Pinitas | 5518671 | 2018-01-08 17:37:12 +0000 | [diff] [blame] | 2088 | case DataType::QASYMM8: |
| 2089 | { |
| 2090 | window_x_inc = pool_stride_x; |
| 2091 | if((pool_size == 2 || pool_size == 3) && pool_stride_x < 3) |
| 2092 | { |
| 2093 | window_x_inc = (pool_stride_x == 2) ? _num_elems_processed_per_iteration * 2 : _num_elems_processed_per_iteration; |
| 2094 | } |
| 2095 | break; |
| 2096 | } |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 2097 | case DataType::F32: |
| 2098 | { |
| 2099 | window_x_inc = pool_stride_x; |
| 2100 | break; |
| 2101 | } |
| 2102 | default: |
| 2103 | { |
| 2104 | ARM_COMPUTE_ERROR("Not supported"); |
| 2105 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 2106 | } |
| 2107 | window_input.set(Window::DimX, Window::Dimension(window.x().start() * pool_stride_x, window.x().end() * pool_stride_x, window_x_inc)); |
| 2108 | window_input.set(Window::DimY, Window::Dimension(window.y().start() * pool_stride_y, window.y().end() * pool_stride_y, pool_stride_y)); |
| 2109 | |
| 2110 | // Run function |
| 2111 | (this->*_func)(window_input, window); |
| 2112 | } |