Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2017 ARM Limited. |
| 3 | * |
| 4 | * SPDX-License-Identifier: MIT |
| 5 | * |
| 6 | * Permission is hereby granted, free of charge, to any person obtaining a copy |
| 7 | * of this software and associated documentation files (the "Software"), to |
| 8 | * deal in the Software without restriction, including without limitation the |
| 9 | * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| 10 | * sell copies of the Software, and to permit persons to whom the Software is |
| 11 | * furnished to do so, subject to the following conditions: |
| 12 | * |
| 13 | * The above copyright notice and this permission notice shall be included in all |
| 14 | * copies or substantial portions of the Software. |
| 15 | * |
| 16 | * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| 17 | * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| 18 | * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| 19 | * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| 20 | * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| 21 | * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| 22 | * SOFTWARE. |
| 23 | */ |
| 24 | #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" |
| 31 | #include "arm_compute/core/NEON/NEFixedPoint.h" |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 32 | #include "arm_compute/core/NEON/NEMath.h" |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 33 | #include "arm_compute/core/TensorInfo.h" |
| 34 | #include "arm_compute/core/Utils.h" |
| 35 | #include "arm_compute/core/Validate.h" |
| 36 | #include "arm_compute/core/Window.h" |
| 37 | |
| 38 | #include <algorithm> |
| 39 | #include <arm_neon.h> |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 40 | #include <cmath> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 41 | #include <limits> |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 42 | #include <set> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 43 | #include <string> |
| 44 | #include <tuple> |
| 45 | |
| 46 | using namespace arm_compute; |
| 47 | |
| 48 | namespace |
| 49 | { |
| 50 | inline float calculate_avg_scale(const Coordinates &id, const int pool_size, const int upper_bound_w, const int upper_bound_h, |
| 51 | const int pad_x, const int pad_y, const int stride_x, const int stride_y) |
| 52 | { |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 53 | const int start_x = id.x() * stride_x - pad_x; |
| 54 | const int start_y = id.y() * stride_y - pad_y; |
| 55 | const int end_x = std::min(start_x + pool_size, upper_bound_w); |
| 56 | const int end_y = std::min(start_y + pool_size, upper_bound_h); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 57 | return 1.f / ((end_y - start_y) * (end_x - start_x)); |
| 58 | } |
| 59 | |
| 60 | inline qint8_t calculate_avg_scale_q8(const Coordinates &id, int pool_size, int upper_bound_w, int upper_bound_h, |
| 61 | int pad_x, int pad_y, int stride_x, int stride_y, int fixed_point_position) |
| 62 | { |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 63 | static const std::array<qint8_t, 10> scale_values_q8 = |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 64 | { { 0x0, 0x0, 0x40, 0x2A, 0x20, 0x19, 0x15, 0x12, 0x10, 0xE } }; |
| 65 | const int start_x = id.x() * stride_x - pad_x; |
| 66 | const int start_y = id.y() * stride_y - pad_y; |
| 67 | const int end_x = std::min(start_x + pool_size, upper_bound_w); |
| 68 | const int end_y = std::min(start_y + pool_size, upper_bound_h); |
| 69 | const int val = ((end_y - start_y) * (end_x - start_x)); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 70 | return sshr_qs8(scale_values_q8[val], (7 - fixed_point_position)); |
| 71 | } |
| 72 | |
| 73 | inline qint16_t calculate_avg_scale_q16(const Coordinates &id, int pool_size, int upper_bound_w, int upper_bound_h, |
| 74 | int pad_x, int pad_y, int stride_x, int stride_y, int fixed_point_position) |
| 75 | { |
| 76 | static std::array<qint16_t, 10> scale_values_q16 = |
| 77 | { { 0x0, 0x0, 0x4000, 0x2AAB, 0x2000, 0x199A, 0x1555, 0x1249, 0x1000, 0xE38 } }; |
| 78 | const int start_x = id.x() * stride_x - pad_x; |
| 79 | const int start_y = id.y() * stride_y - pad_y; |
| 80 | const int end_x = std::min(start_x + pool_size, upper_bound_w); |
| 81 | const int end_y = std::min(start_y + pool_size, upper_bound_h); |
| 82 | const int val = ((end_y - start_y) * (end_x - start_x)); |
| 83 | return sshr_qs16(scale_values_q16[val], (15 - fixed_point_position)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 84 | } |
| 85 | } // namespace |
| 86 | |
| 87 | NEPoolingLayerKernel::NEPoolingLayerKernel() |
| 88 | : _func(nullptr), _input(nullptr), _output(nullptr), _pool_info(), _num_elems_processed_per_iteration(0), _border_size(0) |
| 89 | { |
| 90 | } |
| 91 | |
| 92 | BorderSize NEPoolingLayerKernel::border_size() const |
| 93 | { |
| 94 | return _border_size; |
| 95 | } |
| 96 | |
| 97 | void NEPoolingLayerKernel::configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info) |
| 98 | { |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 99 | int pool_pad_x = 0; |
| 100 | int pool_pad_y = 0; |
| 101 | int pool_stride_x = 0; |
| 102 | int pool_stride_y = 0; |
| 103 | unsigned int pooled_w = 0; |
| 104 | unsigned int pooled_h = 0; |
| 105 | PoolingType pool_type = pool_info.pool_type(); |
| 106 | int pool_size = pool_info.pool_size(); |
| 107 | const PadStrideInfo pad_stride_info = pool_info.pad_stride_info(); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 108 | std::tie(pool_pad_x, pool_pad_y) = pad_stride_info.pad(); |
| 109 | std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
| 110 | |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 111 | static const std::set<int> supported_pool_sizes = { 2, 3, 7 }; |
| 112 | ARM_COMPUTE_UNUSED(supported_pool_sizes); |
| 113 | |
Georgios Pinitas | 1dad50e | 2017-07-03 17:51:34 +0100 | [diff] [blame] | 114 | ARM_COMPUTE_ERROR_ON_NULLPTR(output); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 115 | ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32); |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 116 | ARM_COMPUTE_ERROR_ON(pool_type == PoolingType::L2 && is_data_type_fixed_point(input->info()->data_type())); |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 117 | ARM_COMPUTE_ERROR_ON(supported_pool_sizes.find(pool_size) == supported_pool_sizes.end()); |
| 118 | ARM_COMPUTE_ERROR_ON(7 == pool_size && input->info()->data_type() != DataType::F32); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 119 | ARM_COMPUTE_ERROR_ON(pool_pad_x >= pool_size || pool_pad_y >= pool_size); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 120 | ARM_COMPUTE_ERROR_ON(is_data_type_fixed_point(input->info()->data_type()) && pool_stride_x > 2); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 121 | |
| 122 | // Check output dimensions |
| 123 | std::tie(pooled_w, pooled_h) = scaled_dimensions(input->info()->dimension(0), input->info()->dimension(1), |
Gian Marco Iodice | 4e28869 | 2017-06-27 11:41:59 +0100 | [diff] [blame] | 124 | pool_size, pool_size, pool_info.pad_stride_info()); |
Georgios Pinitas | 1dad50e | 2017-07-03 17:51:34 +0100 | [diff] [blame] | 125 | |
| 126 | // Output auto initialization if not yet initialized |
| 127 | { |
| 128 | TensorShape output_shape{ input->info()->tensor_shape() }; |
| 129 | output_shape.set(0, pooled_w); |
| 130 | output_shape.set(1, pooled_h); |
| 131 | |
| 132 | auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| 133 | } |
| 134 | |
| 135 | ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 136 | ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 137 | ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) != pooled_w) || (output->info()->dimension(1) != pooled_h)); |
| 138 | |
| 139 | unsigned int num_elems_read_per_iteration = 0; |
| 140 | unsigned int num_elems_processed_per_iteration = 0; |
| 141 | unsigned int num_elems_horizontal_window = 0; |
| 142 | |
| 143 | // Select element size |
| 144 | switch(input->info()->data_type()) |
| 145 | { |
| 146 | case DataType::QS8: |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 147 | num_elems_read_per_iteration = 16; |
| 148 | switch(pool_size) |
| 149 | { |
| 150 | case 2: |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 151 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 8 : 15; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 152 | break; |
| 153 | case 3: |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 154 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 7 : 14; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 155 | break; |
| 156 | default: |
| 157 | ARM_COMPUTE_ERROR("Pooling size not supported"); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 158 | break; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 159 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 160 | num_elems_horizontal_window = (pool_stride_x == 2) ? 8 : 16; |
| 161 | break; |
| 162 | case DataType::QS16: |
| 163 | num_elems_read_per_iteration = 8; |
| 164 | switch(pool_size) |
| 165 | { |
| 166 | case 2: |
| 167 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 4 : 7; |
| 168 | break; |
| 169 | case 3: |
| 170 | num_elems_processed_per_iteration = (pool_stride_x == 2) ? 3 : 6; |
| 171 | break; |
| 172 | default: |
| 173 | ARM_COMPUTE_ERROR("Pooling size not supported"); |
| 174 | } |
| 175 | num_elems_horizontal_window = (pool_stride_x == 2) ? 4 : 8; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 176 | break; |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 177 | #ifdef ARM_COMPUTE_ENABLE_FP16 |
| 178 | case DataType::F16: |
| 179 | switch(pool_size) |
| 180 | { |
| 181 | case 2: |
| 182 | num_elems_read_per_iteration = 16; |
| 183 | num_elems_processed_per_iteration = 8; |
| 184 | num_elems_horizontal_window = 8; |
| 185 | break; |
| 186 | case 3: |
| 187 | num_elems_read_per_iteration = 4; |
| 188 | num_elems_processed_per_iteration = 1; |
| 189 | num_elems_horizontal_window = 1; |
| 190 | break; |
| 191 | default: |
| 192 | ARM_COMPUTE_ERROR("Pooling size not supported"); |
| 193 | break; |
| 194 | } |
| 195 | break; |
| 196 | #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 197 | case DataType::F32: |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 198 | switch(pool_size) |
| 199 | { |
| 200 | case 2: |
| 201 | num_elems_read_per_iteration = 2; |
| 202 | break; |
| 203 | case 3: |
| 204 | num_elems_read_per_iteration = 4; // We use vload4 for pooling3 |
| 205 | break; |
| 206 | case 7: |
| 207 | num_elems_read_per_iteration = 8; // We use vload8 for pooling7 |
| 208 | break; |
| 209 | default: |
| 210 | ARM_COMPUTE_ERROR("Pooling size not supported"); |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 211 | break; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 212 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 213 | num_elems_processed_per_iteration = 1; |
| 214 | num_elems_horizontal_window = 1; |
| 215 | break; |
| 216 | default: |
| 217 | ARM_COMPUTE_ERROR("Element size not supported"); |
| 218 | break; |
| 219 | } |
| 220 | |
| 221 | _num_elems_processed_per_iteration = num_elems_processed_per_iteration; |
| 222 | const int input_width = input->info()->dimension(0); |
| 223 | const int input_height = input->info()->dimension(1); |
| 224 | const int upper_bound_w = ((pooled_w - 1) * pool_stride_x - pool_pad_x + num_elems_read_per_iteration) - input_width; |
| 225 | const int upper_bound_h = ((pooled_h - 1) * pool_stride_y - pool_pad_y + pool_size) - input_height; |
| 226 | |
| 227 | // Set instance variables |
| 228 | _input = input; |
| 229 | _output = output; |
| 230 | _pool_info = pool_info; |
| 231 | _border_size = BorderSize(pool_pad_y, pool_pad_x); |
| 232 | _border_size.right = std::max(upper_bound_w, pool_pad_x); |
| 233 | _border_size.bottom = std::max(upper_bound_h, pool_pad_y); |
| 234 | |
| 235 | // Select appropriate function |
| 236 | switch(pool_size) |
| 237 | { |
| 238 | case 2: |
| 239 | if(input->info()->data_type() == DataType::QS8) |
| 240 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 241 | switch(pool_type) |
| 242 | { |
| 243 | case PoolingType::AVG: |
| 244 | _func = &NEPoolingLayerKernel::pooling2_q8<PoolingType::AVG>; |
| 245 | break; |
| 246 | case PoolingType::MAX: |
| 247 | _func = &NEPoolingLayerKernel::pooling2_q8<PoolingType::MAX>; |
| 248 | break; |
| 249 | default: |
| 250 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 251 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 252 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 253 | else if(input->info()->data_type() == DataType::QS16) |
| 254 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 255 | switch(pool_type) |
| 256 | { |
| 257 | case PoolingType::AVG: |
| 258 | _func = &NEPoolingLayerKernel::pooling2_q16<PoolingType::AVG>; |
| 259 | break; |
| 260 | case PoolingType::MAX: |
| 261 | _func = &NEPoolingLayerKernel::pooling2_q16<PoolingType::MAX>; |
| 262 | break; |
| 263 | default: |
| 264 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 265 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 266 | } |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 267 | else if(input->info()->data_type() == DataType::F16) |
| 268 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 269 | switch(pool_type) |
| 270 | { |
| 271 | case PoolingType::AVG: |
| 272 | _func = &NEPoolingLayerKernel::pooling2_f16<PoolingType::AVG>; |
| 273 | break; |
| 274 | case PoolingType::L2: |
| 275 | _func = &NEPoolingLayerKernel::pooling2_f16<PoolingType::L2>; |
| 276 | break; |
| 277 | case PoolingType::MAX: |
| 278 | _func = &NEPoolingLayerKernel::pooling2_f16<PoolingType::MAX>; |
| 279 | break; |
| 280 | default: |
| 281 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 282 | } |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 283 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 284 | else if(input->info()->data_type() == DataType::F32) |
| 285 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 286 | switch(pool_type) |
| 287 | { |
| 288 | case PoolingType::AVG: |
| 289 | _func = &NEPoolingLayerKernel::pooling2_f32<PoolingType::AVG>; |
| 290 | break; |
| 291 | case PoolingType::L2: |
| 292 | _func = &NEPoolingLayerKernel::pooling2_f32<PoolingType::L2>; |
| 293 | break; |
| 294 | case PoolingType::MAX: |
| 295 | _func = &NEPoolingLayerKernel::pooling2_f32<PoolingType::MAX>; |
| 296 | break; |
| 297 | default: |
| 298 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 299 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 300 | } |
| 301 | break; |
| 302 | case 3: |
| 303 | if(input->info()->data_type() == DataType::QS8) |
| 304 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 305 | switch(pool_type) |
| 306 | { |
| 307 | case PoolingType::AVG: |
| 308 | _func = &NEPoolingLayerKernel::pooling3_q8<PoolingType::AVG>; |
| 309 | break; |
| 310 | case PoolingType::MAX: |
| 311 | _func = &NEPoolingLayerKernel::pooling3_q8<PoolingType::MAX>; |
| 312 | break; |
| 313 | default: |
| 314 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 315 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 316 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 317 | else if(input->info()->data_type() == DataType::QS16) |
| 318 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 319 | switch(pool_type) |
| 320 | { |
| 321 | case PoolingType::AVG: |
| 322 | _func = &NEPoolingLayerKernel::pooling3_q16<PoolingType::AVG>; |
| 323 | break; |
| 324 | case PoolingType::MAX: |
| 325 | _func = &NEPoolingLayerKernel::pooling3_q16<PoolingType::MAX>; |
| 326 | break; |
| 327 | default: |
| 328 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 329 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 330 | } |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 331 | else if(input->info()->data_type() == DataType::F16) |
| 332 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 333 | switch(pool_type) |
| 334 | { |
| 335 | case PoolingType::AVG: |
| 336 | _func = &NEPoolingLayerKernel::pooling3_f16<PoolingType::AVG>; |
| 337 | break; |
| 338 | case PoolingType::L2: |
| 339 | _func = &NEPoolingLayerKernel::pooling3_f16<PoolingType::L2>; |
| 340 | break; |
| 341 | case PoolingType::MAX: |
| 342 | _func = &NEPoolingLayerKernel::pooling3_f16<PoolingType::MAX>; |
| 343 | break; |
| 344 | default: |
| 345 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 346 | } |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 347 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 348 | else if(input->info()->data_type() == DataType::F32) |
| 349 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 350 | switch(pool_type) |
| 351 | { |
| 352 | case PoolingType::AVG: |
| 353 | _func = &NEPoolingLayerKernel::pooling3_f32<PoolingType::AVG>; |
| 354 | break; |
| 355 | case PoolingType::L2: |
| 356 | _func = &NEPoolingLayerKernel::pooling3_f32<PoolingType::L2>; |
| 357 | break; |
| 358 | case PoolingType::MAX: |
| 359 | _func = &NEPoolingLayerKernel::pooling3_f32<PoolingType::MAX>; |
| 360 | break; |
| 361 | default: |
| 362 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 363 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 364 | } |
| 365 | break; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 366 | case 7: |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 367 | switch(pool_type) |
| 368 | { |
| 369 | case PoolingType::AVG: |
| 370 | _func = &NEPoolingLayerKernel::pooling7_f32<PoolingType::AVG>; |
| 371 | break; |
| 372 | case PoolingType::L2: |
| 373 | _func = &NEPoolingLayerKernel::pooling7_f32<PoolingType::L2>; |
| 374 | break; |
| 375 | case PoolingType::MAX: |
| 376 | _func = &NEPoolingLayerKernel::pooling7_f32<PoolingType::MAX>; |
| 377 | break; |
| 378 | default: |
| 379 | ARM_COMPUTE_ERROR("Unsupported pooling type!"); |
| 380 | } |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 381 | break; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 382 | default: |
| 383 | ARM_COMPUTE_ERROR("Unsupported pooling size"); |
| 384 | break; |
| 385 | } |
| 386 | |
| 387 | // Configure kernel window |
| 388 | Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); |
| 389 | AccessWindowStatic input_access(input->info(), -pool_pad_x, -pool_pad_y, input_width + _border_size.right, input_height + _border_size.bottom); |
| 390 | AccessWindowHorizontal output_access(output->info(), 0, num_elems_horizontal_window); |
| 391 | update_window_and_padding(win, input_access, output_access); |
| 392 | output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| 393 | INEKernel::configure(win); |
| 394 | } |
| 395 | |
| 396 | template <PoolingType pooling_type> |
| 397 | void NEPoolingLayerKernel::pooling2_q8(const Window &window_input, const Window &window) |
| 398 | { |
| 399 | Iterator input(_input, window_input); |
| 400 | Iterator output(_output, window); |
| 401 | |
| 402 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 403 | constexpr int pool_size = 2; |
| 404 | int pool_pad_x = 0; |
| 405 | int pool_pad_y = 0; |
| 406 | int pool_stride_x = 0; |
| 407 | int pool_stride_y = 0; |
| 408 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 409 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 410 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 411 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 412 | |
| 413 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 414 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 415 | |
| 416 | execute_window_loop(window, [&](const Coordinates & id) |
| 417 | { |
| 418 | const auto top_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_top_ptr + input.offset())); |
| 419 | 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] | 420 | qint8x8_t lower_res = {}; |
| 421 | qint8x8_t upper_res = {}; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 422 | if(pooling_type == PoolingType::AVG) |
| 423 | { |
| 424 | // Calculate scale |
| 425 | const qint8_t scale = calculate_avg_scale_q8(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y, fixed_point_position); |
| 426 | const qint8x8_t scale_vec = vdup_n_qs8(scale); |
| 427 | |
| 428 | // Perform pooling |
| 429 | const qint8x16_t sum_data = vqaddq_qs8(top_data, bottom_data); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 430 | lower_res = vqmul_qs8(vpadd_s8(vget_low_s8(sum_data), vget_high_s8(sum_data)), scale_vec, fixed_point_position); |
| 431 | if(pool_stride_x == 1) |
| 432 | { |
| 433 | const qint8x16_t sum_data_shifted = vextq_s8(sum_data, sum_data, 1); |
| 434 | upper_res = vqmul_qs8(vpadd_s8(vget_low_s8(sum_data_shifted), vget_high_s8(sum_data_shifted)), scale_vec, fixed_point_position); |
| 435 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 436 | } |
| 437 | else |
| 438 | { |
| 439 | const qint8x16_t max_data = vmaxq_s8(top_data, bottom_data); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 440 | lower_res = vpmax_s8(vget_low_s8(max_data), vget_high_s8(max_data)); |
| 441 | if(pool_stride_x == 1) |
| 442 | { |
| 443 | const qint8x16_t max_data_shifted = vextq_s8(max_data, max_data, 1); |
| 444 | upper_res = vpmax_s8(vget_low_s8(max_data_shifted), vget_high_s8(max_data_shifted)); |
| 445 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 446 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 447 | if(pool_stride_x == 1) |
| 448 | { |
Georgios Pinitas | dc460f1 | 2017-08-24 19:02:44 +0100 | [diff] [blame] | 449 | const qint8x8x2_t res = { { lower_res, upper_res } }; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 450 | vst2_s8(reinterpret_cast<qint8_t *>(output.ptr()), res); |
| 451 | } |
| 452 | else |
| 453 | { |
| 454 | vst1_qs8(reinterpret_cast<qint8_t *>(output.ptr()), lower_res); |
| 455 | } |
| 456 | }, |
| 457 | input, output); |
| 458 | } |
| 459 | |
| 460 | template <PoolingType pooling_type> |
| 461 | void NEPoolingLayerKernel::pooling2_q16(const Window &window_input, const Window &window) |
| 462 | { |
| 463 | Iterator input(_input, window_input); |
| 464 | Iterator output(_output, window); |
| 465 | |
| 466 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 467 | constexpr int pool_size = 2; |
| 468 | int pool_pad_x = 0; |
| 469 | int pool_pad_y = 0; |
| 470 | int pool_stride_x = 0; |
| 471 | int pool_stride_y = 0; |
| 472 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 473 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 474 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 475 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 476 | |
| 477 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 478 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 479 | |
| 480 | execute_window_loop(window, [&](const Coordinates & id) |
| 481 | { |
| 482 | const auto top_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_top_ptr + input.offset())); |
| 483 | const auto bottom_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_bottom_ptr + input.offset())); |
| 484 | qint16x4_t lower_res = {}; |
| 485 | qint16x4_t upper_res = {}; |
| 486 | if(pooling_type == PoolingType::AVG) |
| 487 | { |
| 488 | // Calculate scale |
| 489 | const qint16_t scale = calculate_avg_scale_q16(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y, fixed_point_position); |
| 490 | const qint16x4_t scale_vec = vdup_n_qs16(scale); |
| 491 | |
| 492 | // Perform pooling |
| 493 | const qint16x8_t sum_data = vqaddq_qs16(top_data, bottom_data); |
| 494 | lower_res = vqmul_qs16(vpadd_s16(vget_low_s16(sum_data), vget_high_s16(sum_data)), scale_vec, fixed_point_position); |
| 495 | if(pool_stride_x == 1) |
| 496 | { |
| 497 | const qint16x8_t sum_data_shifted = vextq_s16(sum_data, sum_data, 1); |
| 498 | upper_res = vqmul_qs16(vpadd_s16(vget_low_s16(sum_data_shifted), vget_high_s16(sum_data_shifted)), scale_vec, fixed_point_position); |
| 499 | } |
| 500 | } |
| 501 | else |
| 502 | { |
| 503 | const qint16x8_t max_data = vmaxq_s16(top_data, bottom_data); |
| 504 | lower_res = vpmax_s16(vget_low_s16(max_data), vget_high_s16(max_data)); |
| 505 | if(pool_stride_x == 1) |
| 506 | { |
| 507 | const qint16x8_t max_data_shifted = vextq_s16(max_data, max_data, 1); |
| 508 | upper_res = vpmax_s16(vget_low_s16(max_data_shifted), vget_high_s16(max_data_shifted)); |
| 509 | } |
| 510 | } |
| 511 | if(pool_stride_x == 1) |
| 512 | { |
Georgios Pinitas | dc460f1 | 2017-08-24 19:02:44 +0100 | [diff] [blame] | 513 | const qint16x4x2_t res = { { lower_res, upper_res } }; |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 514 | vst2_s16(reinterpret_cast<qint16_t *>(output.ptr()), res); |
| 515 | } |
| 516 | else |
| 517 | { |
| 518 | vst1_qs16(reinterpret_cast<qint16_t *>(output.ptr()), lower_res); |
| 519 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 520 | }, |
| 521 | input, output); |
| 522 | } |
| 523 | |
| 524 | template <PoolingType pooling_type> |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 525 | void NEPoolingLayerKernel::pooling3_f16(const Window &window_input, const Window &window) |
| 526 | { |
| 527 | #ifdef ARM_COMPUTE_ENABLE_FP16 |
| 528 | Iterator input(_input, window_input); |
| 529 | Iterator output(_output, window); |
| 530 | |
| 531 | constexpr const int pool_size = 3; |
| 532 | int pool_pad_x = 0; |
| 533 | int pool_pad_y = 0; |
| 534 | int pool_stride_x = 0; |
| 535 | int pool_stride_y = 0; |
| 536 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 537 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 538 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 539 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 540 | |
| 541 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 542 | const unsigned char *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 543 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 2)); |
| 544 | |
| 545 | execute_window_loop(window, [&](const Coordinates & id) |
| 546 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 547 | float16x4_t top_data = vld1_f16(reinterpret_cast<const float16_t *>(input_top_ptr + input.offset())); |
| 548 | float16x4_t middle_data = vld1_f16(reinterpret_cast<const float16_t *>(input_middle_ptr + input.offset())); |
| 549 | float16x4_t bottom_data = vld1_f16(reinterpret_cast<const float16_t *>(input_bottom_ptr + input.offset())); |
| 550 | float16x4_t res = {}; |
| 551 | |
| 552 | // Get power of 2 in case of l2 pooling |
| 553 | if(pooling_type == PoolingType::L2) |
| 554 | { |
| 555 | top_data = vmul_f16(top_data, top_data); |
| 556 | middle_data = vmul_f16(middle_data, middle_data); |
| 557 | bottom_data = vmul_f16(bottom_data, bottom_data); |
| 558 | } |
| 559 | |
| 560 | if(pooling_type != PoolingType::MAX) |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 561 | { |
| 562 | // Calculate scale |
| 563 | const float scale = calculate_avg_scale(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y); |
| 564 | const float16x4_t scale_v = vdup_n_f16(scale); |
| 565 | // Perform pooling |
| 566 | const float16x4_t sum_data = vadd_f16(vadd_f16(top_data, bottom_data), middle_data); |
| 567 | res = vpadd_f16(vset_lane_f16(0.f, sum_data, 3), sum_data); |
| 568 | res = vmul_f16(vpadd_f16(res, res), scale_v); |
| 569 | } |
| 570 | else |
| 571 | { |
| 572 | const float16x4_t max_data = vmax_f16(vmax_f16(top_data, bottom_data), middle_data); |
| 573 | res = vpmax_f16(vset_lane_f16(-std::numeric_limits<float>::max(), max_data, 3), max_data); |
| 574 | res = vpmax_f16(res, res); |
| 575 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 576 | |
| 577 | // Calculate square-root in case of l2 pooling |
| 578 | if(pooling_type == PoolingType::L2) |
| 579 | { |
| 580 | res = vinv_f16(vinvsqrt_f16(res)); |
| 581 | } |
| 582 | |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 583 | *(reinterpret_cast<float16_t *>(output.ptr())) = vget_lane_f16(res, 0); |
| 584 | }, |
| 585 | input, output); |
| 586 | #else /* ARM_COMPUTE_ENABLE_FP16 */ |
| 587 | ARM_COMPUTE_UNUSED(window_input); |
| 588 | ARM_COMPUTE_UNUSED(window); |
| 589 | ARM_COMPUTE_ERROR("FP16 Not supported! Recompile the library with arch=arm64-v8.2-a"); |
| 590 | #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| 591 | } |
| 592 | |
| 593 | template <PoolingType pooling_type> |
| 594 | void NEPoolingLayerKernel::pooling2_f16(const Window &window_input, const Window &window) |
| 595 | { |
| 596 | #ifdef ARM_COMPUTE_ENABLE_FP16 |
| 597 | Iterator input(_input, window_input); |
| 598 | Iterator output(_output, window); |
| 599 | constexpr int pool_size = 2; |
| 600 | int pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y = 0; |
| 601 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 602 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 603 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 604 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 605 | |
| 606 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 607 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 608 | |
| 609 | execute_window_loop(window, [&](const Coordinates & id) |
| 610 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 611 | auto top_data = vld2q_f16(reinterpret_cast<const float16_t *>(input_top_ptr + input.offset())); |
| 612 | 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] | 613 | float16x8_t res = {}; |
| 614 | |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 615 | // Get power of 2 in case of l2 pooling |
| 616 | if(pooling_type == PoolingType::L2) |
| 617 | { |
| 618 | top_data.val[0] = vmulq_f16(top_data.val[0], top_data.val[0]); |
| 619 | top_data.val[1] = vmulq_f16(top_data.val[1], top_data.val[1]); |
| 620 | bottom_data.val[0] = vmulq_f16(bottom_data.val[0], bottom_data.val[0]); |
| 621 | bottom_data.val[1] = vmulq_f16(bottom_data.val[1], bottom_data.val[1]); |
| 622 | } |
| 623 | |
| 624 | if(pooling_type != PoolingType::MAX) |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 625 | { |
| 626 | const float scale = calculate_avg_scale(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y); |
| 627 | const float16x8_t scale_v = vdupq_n_f16(scale); |
| 628 | 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])))); |
| 629 | } |
| 630 | else |
| 631 | { |
| 632 | res = vmaxq_f16(bottom_data.val[1], vmaxq_f16(bottom_data.val[0], vmaxq_f16(top_data.val[0], top_data.val[1]))); |
| 633 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 634 | |
| 635 | // Calculate square-root in case of l2 pooling |
| 636 | if(pooling_type == PoolingType::L2) |
| 637 | { |
| 638 | res = vinvq_f16(vinvsqrtq_f16(res)); |
| 639 | } |
| 640 | |
| 641 | // Store result |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 642 | vst1q_f16(reinterpret_cast<float16_t *>(output.ptr()), res); |
| 643 | }, |
| 644 | input, output); |
| 645 | #else /* ARM_COMPUTE_ENABLE_FP16 */ |
| 646 | ARM_COMPUTE_UNUSED(window_input); |
| 647 | ARM_COMPUTE_UNUSED(window); |
| 648 | ARM_COMPUTE_ERROR("FP16 Not supported! Recompile the library with arch=arm64-v8.2-a"); |
| 649 | #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| 650 | } |
| 651 | |
| 652 | template <PoolingType pooling_type> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 653 | void NEPoolingLayerKernel::pooling2_f32(const Window &window_input, const Window &window) |
| 654 | { |
| 655 | Iterator input(_input, window_input); |
| 656 | Iterator output(_output, window); |
| 657 | |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 658 | constexpr int pool_size = 2; |
| 659 | int pool_pad_x = 0; |
| 660 | int pool_pad_y = 0; |
| 661 | int pool_stride_x = 0; |
| 662 | int pool_stride_y = 0; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 663 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 664 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 665 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 666 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 667 | |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 668 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 669 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 670 | |
| 671 | execute_window_loop(window, [&](const Coordinates & id) |
| 672 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 673 | float32x2_t top_data = vld1_f32(reinterpret_cast<const float *>(input_top_ptr + input.offset())); |
| 674 | float32x2_t bottom_data = vld1_f32(reinterpret_cast<const float *>(input_bottom_ptr + input.offset())); |
| 675 | float32x2_t res = {}; |
| 676 | float final_res = 0; |
| 677 | |
| 678 | // Get power of 2 in case of l2 pooling |
| 679 | if(pooling_type == PoolingType::L2) |
| 680 | { |
| 681 | top_data = vmul_f32(top_data, top_data); |
| 682 | bottom_data = vmul_f32(bottom_data, bottom_data); |
| 683 | } |
| 684 | |
| 685 | if(pooling_type != PoolingType::MAX) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 686 | { |
| 687 | // Calculate scale |
| 688 | float scale = calculate_avg_scale(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y); |
| 689 | const float32x2_t scale_v = vdup_n_f32(scale); |
| 690 | |
| 691 | // Perform pooling |
| 692 | const float32x2_t sum_data = vadd_f32(top_data, bottom_data); |
| 693 | res = vmul_f32(vpadd_f32(sum_data, sum_data), scale_v); |
| 694 | } |
| 695 | else |
| 696 | { |
| 697 | const float32x2_t max_data = vmax_f32(top_data, bottom_data); |
| 698 | res = vpmax_f32(max_data, max_data); |
| 699 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 700 | final_res = vget_lane_f32(res, 0); |
| 701 | |
| 702 | // Calculate square-root in case of l2 pooling |
| 703 | if(pooling_type == PoolingType::L2) |
| 704 | { |
| 705 | final_res = sqrt(final_res); |
| 706 | } |
| 707 | |
| 708 | // Store result |
| 709 | *(reinterpret_cast<float *>(output.ptr())) = final_res; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 710 | }, |
| 711 | input, output); |
| 712 | } |
| 713 | |
| 714 | template <PoolingType pooling_type> |
| 715 | void NEPoolingLayerKernel::pooling3_q8(const Window &window_input, const Window &window) |
| 716 | { |
| 717 | Iterator input(_input, window_input); |
| 718 | Iterator output(_output, window); |
| 719 | |
| 720 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 721 | constexpr int pool_size = 3; |
| 722 | int pool_pad_x = 0; |
| 723 | int pool_pad_y = 0; |
| 724 | int pool_stride_x = 0; |
| 725 | int pool_stride_y = 0; |
| 726 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 727 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 728 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 729 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 730 | |
| 731 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 732 | const uint8_t *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 733 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 2)); |
| 734 | |
| 735 | execute_window_loop(window, [&](const Coordinates & id) |
| 736 | { |
| 737 | const auto top_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_top_ptr + input.offset())); |
| 738 | const auto middle_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_middle_ptr + input.offset())); |
| 739 | const auto bottom_data = vld1q_qs8(reinterpret_cast<const qint8_t *>(input_bottom_ptr + input.offset())); |
| 740 | qint8x8_t res = {}; |
| 741 | if(pooling_type == PoolingType::AVG) |
| 742 | { |
| 743 | // Calculate scale |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 744 | const qint8_t scale = calculate_avg_scale_q8(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y, fixed_point_position); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 745 | |
| 746 | // Perform pooling for stride 2 |
| 747 | const qint8x16_t sum_data = vqaddq_qs8(vqaddq_qs8(top_data, bottom_data), middle_data); |
| 748 | const qint8x16_t sum_data2 = vextq_s8(sum_data, sum_data, 1); |
| 749 | const qint8x16_t sum_data3 = vextq_s8(sum_data, sum_data, 2); |
| 750 | const qint8x16_t final_sum = vqaddq_qs8(vqaddq_qs8(sum_data, sum_data2), sum_data3); |
| 751 | if(pool_stride_x == 2) |
| 752 | { |
| 753 | const qint8x8x2_t table = { { vget_low_s8(final_sum), vget_high_s8(final_sum) } }; |
| 754 | 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] | 755 | const qint8x8_t scale_vec = vdup_n_qs8(scale); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 756 | res = vtbl2_s8(table, lookup_val); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 757 | res = vqmul_qs8(res, scale_vec, fixed_point_position); |
| 758 | vst1_qs8(reinterpret_cast<qint8_t *>(output.ptr()), res); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 759 | } |
| 760 | else |
| 761 | { |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 762 | const qint8x16_t scale_vec = vdupq_n_qs8(scale); |
| 763 | 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] | 764 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 765 | } |
| 766 | else |
| 767 | { |
| 768 | const qint8x16_t max_data = vmaxq_s8(vmaxq_s8(top_data, bottom_data), middle_data); |
| 769 | const qint8x16_t max_data2 = vextq_s8(max_data, max_data, 1); |
| 770 | const qint8x16_t max_data3 = vextq_s8(max_data, max_data, 2); |
| 771 | const qint8x16_t final_max = vmaxq_s8(vmaxq_s8(max_data, max_data2), max_data3); |
| 772 | |
| 773 | if(pool_stride_x == 2) |
| 774 | { |
| 775 | const qint8x8x2_t table = { { vget_low_s8(final_max), vget_high_s8(final_max) } }; |
| 776 | static const qint8x8_t lookup_val = { 0, 2, 4, 6, 8, 10, 12, 14 }; |
| 777 | res = vtbl2_s8(table, lookup_val); |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 778 | vst1_qs8(reinterpret_cast<qint8_t *>(output.ptr()), res); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 779 | } |
| 780 | else |
| 781 | { |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 782 | vst1q_qs8(reinterpret_cast<qint8_t *>(output.ptr()), final_max); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 783 | } |
| 784 | } |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 785 | }, |
| 786 | input, output); |
| 787 | } |
| 788 | |
| 789 | template <PoolingType pooling_type> |
| 790 | void NEPoolingLayerKernel::pooling3_q16(const Window &window_input, const Window &window) |
| 791 | { |
| 792 | Iterator input(_input, window_input); |
| 793 | Iterator output(_output, window); |
| 794 | |
| 795 | const int fixed_point_position = _input->info()->fixed_point_position(); |
| 796 | constexpr int pool_size = 3; |
| 797 | int pool_pad_x = 0; |
| 798 | int pool_pad_y = 0; |
| 799 | int pool_stride_x = 0; |
| 800 | int pool_stride_y = 0; |
| 801 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 802 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 803 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 804 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 805 | |
| 806 | const unsigned char *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 807 | const unsigned char *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 808 | const unsigned char *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 2)); |
| 809 | |
| 810 | execute_window_loop(window, [&](const Coordinates & id) |
| 811 | { |
| 812 | const auto top_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_top_ptr + input.offset())); |
| 813 | const auto middle_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_middle_ptr + input.offset())); |
| 814 | const auto bottom_data = vld1q_qs16(reinterpret_cast<const qint16_t *>(input_bottom_ptr + input.offset())); |
| 815 | |
| 816 | if(pooling_type == PoolingType::AVG) |
| 817 | { |
| 818 | // Calculate scale |
| 819 | const qint16_t scale = calculate_avg_scale_q16(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y, fixed_point_position); |
| 820 | |
| 821 | // Perform pooling for stride 2 |
| 822 | const qint16x8_t sum_data = vqaddq_qs16(vqaddq_qs16(top_data, bottom_data), middle_data); |
| 823 | const qint16x8_t sum_data2 = vextq_s16(sum_data, sum_data, 1); |
| 824 | const qint16x8_t sum_data3 = vextq_s16(sum_data, sum_data, 2); |
| 825 | const qint16x8_t final_sum = vqaddq_qs16(vqaddq_qs16(sum_data, sum_data2), sum_data3); |
| 826 | if(pool_stride_x == 2) |
| 827 | { |
| 828 | 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) }; |
| 829 | const qint16x4_t scale_vec = vdup_n_qs16(scale); |
| 830 | vst1_qs16(reinterpret_cast<qint16_t *>(output.ptr()), vqmul_qs16(tmp, scale_vec, fixed_point_position)); |
| 831 | } |
| 832 | else |
| 833 | { |
| 834 | const qint16x8_t scale_vec = vdupq_n_qs16(scale); |
| 835 | vst1q_qs16(reinterpret_cast<qint16_t *>(output.ptr()), vqmulq_qs16(final_sum, scale_vec, fixed_point_position)); |
| 836 | } |
| 837 | } |
| 838 | else |
| 839 | { |
| 840 | const qint16x8_t max_data = vmaxq_s16(vmaxq_s16(top_data, bottom_data), middle_data); |
| 841 | const qint16x8_t max_data2 = vextq_s16(max_data, max_data, 1); |
| 842 | const qint16x8_t max_data3 = vextq_s16(max_data, max_data, 2); |
| 843 | const qint16x8_t final_max = vmaxq_s16(vmaxq_s16(max_data, max_data2), max_data3); |
| 844 | |
| 845 | if(pool_stride_x == 2) |
| 846 | { |
| 847 | 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) }; |
| 848 | vst1_qs16(reinterpret_cast<qint16_t *>(output.ptr()), tmp); |
| 849 | } |
| 850 | else |
| 851 | { |
| 852 | vst1q_qs16(reinterpret_cast<qint16_t *>(output.ptr()), final_max); |
| 853 | } |
| 854 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 855 | }, |
| 856 | input, output); |
| 857 | } |
| 858 | |
| 859 | template <PoolingType pooling_type> |
| 860 | void NEPoolingLayerKernel::pooling3_f32(const Window &window_input, const Window &window) |
| 861 | { |
| 862 | Iterator input(_input, window_input); |
| 863 | Iterator output(_output, window); |
| 864 | |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 865 | constexpr const int pool_size = 3; |
| 866 | int pool_pad_x = 0; |
| 867 | int pool_pad_y = 0; |
| 868 | int pool_stride_x = 0; |
| 869 | int pool_stride_y = 0; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 870 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 871 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 872 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 873 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 874 | |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 875 | const uint8_t *const input_top_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y))); |
| 876 | const uint8_t *const input_middle_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 1)); |
| 877 | const uint8_t *const input_bottom_ptr = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + 2)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 878 | |
| 879 | execute_window_loop(window, [&](const Coordinates & id) |
| 880 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 881 | float32x4_t top_data = vld1q_f32(reinterpret_cast<const float *>(input_top_ptr + input.offset())); |
| 882 | float32x4_t middle_data = vld1q_f32(reinterpret_cast<const float *>(input_middle_ptr + input.offset())); |
| 883 | float32x4_t bottom_data = vld1q_f32(reinterpret_cast<const float *>(input_bottom_ptr + input.offset())); |
| 884 | float32x2_t res = {}; |
| 885 | float final_res = 0; |
| 886 | |
| 887 | // Get power of 2 in case of l2 pooling |
| 888 | if(pooling_type == PoolingType::L2) |
| 889 | { |
| 890 | top_data = vmulq_f32(top_data, top_data); |
| 891 | middle_data = vmulq_f32(middle_data, middle_data); |
| 892 | bottom_data = vmulq_f32(bottom_data, bottom_data); |
| 893 | } |
| 894 | |
| 895 | if(pooling_type != PoolingType::MAX) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 896 | { |
| 897 | // Calculate scale |
| 898 | float scale = calculate_avg_scale(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y); |
| 899 | const float32x2_t scale_v = vdup_n_f32(scale); |
| 900 | |
| 901 | // Perform pooling |
| 902 | const float32x4_t sum_data = vaddq_f32(vaddq_f32(top_data, bottom_data), middle_data); |
| 903 | res = vpadd_f32(vget_high_f32(vsetq_lane_f32(0.f, sum_data, 3)), vget_low_f32(sum_data)); |
| 904 | res = vmul_f32(vpadd_f32(res, res), scale_v); |
| 905 | } |
| 906 | else |
| 907 | { |
| 908 | const float32x4_t max_data = vmaxq_f32(vmaxq_f32(top_data, bottom_data), middle_data); |
| 909 | res = vpmax_f32(vget_high_f32(vsetq_lane_f32(-std::numeric_limits<float>::max(), max_data, 3)), vget_low_f32(max_data)); |
| 910 | res = vpmax_f32(res, res); |
| 911 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 912 | final_res = vget_lane_f32(res, 0); |
| 913 | |
| 914 | // Calculate square-root in case of l2 pooling |
| 915 | if(pooling_type == PoolingType::L2) |
| 916 | { |
| 917 | final_res = sqrt(final_res); |
| 918 | } |
| 919 | |
| 920 | // Store result |
| 921 | *(reinterpret_cast<float *>(output.ptr())) = final_res; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 922 | }, |
| 923 | input, output); |
| 924 | } |
| 925 | |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 926 | template <PoolingType pooling_type> |
| 927 | void NEPoolingLayerKernel::pooling7_f32(const Window &window_input, const Window &window) |
| 928 | { |
| 929 | Iterator input(_input, window_input); |
| 930 | Iterator output(_output, window); |
| 931 | |
| 932 | constexpr const int pool_size = 7; |
| 933 | int pool_pad_x = 0; |
| 934 | int pool_pad_y = 0; |
| 935 | int pool_stride_x = 0; |
| 936 | int pool_stride_y = 0; |
| 937 | std::tie(pool_pad_x, pool_pad_y) = _pool_info.pad_stride_info().pad(); |
| 938 | std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info().stride(); |
| 939 | const int upper_bound_w = _input->info()->dimension(0) + pool_pad_x; |
| 940 | const int upper_bound_h = _input->info()->dimension(1) + pool_pad_y; |
| 941 | |
| 942 | std::array<const uint8_t *, pool_size> input_ptrs{ {} }; |
| 943 | for(int i = 0; i < pool_size; ++i) |
| 944 | { |
| 945 | input_ptrs[i] = _input->ptr_to_element(Coordinates(-static_cast<int>(pool_pad_x), -static_cast<int>(pool_pad_y) + i)); |
| 946 | } |
| 947 | |
| 948 | execute_window_loop(window, [&](const Coordinates & id) |
| 949 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 950 | float32x2_t res = {}; |
| 951 | float final_res = 0.f; |
| 952 | if(pooling_type != PoolingType::MAX) |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 953 | { |
| 954 | // Calculate scale |
| 955 | float scale = calculate_avg_scale(id, pool_size, upper_bound_w, upper_bound_h, pool_pad_x, pool_pad_y, pool_stride_x, pool_stride_y); |
| 956 | const float32x2_t scale_v = vdup_n_f32(scale); |
| 957 | |
| 958 | // Perform pooling |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 959 | float32x4x2_t data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[0] + input.offset())); |
| 960 | // Get power of 2 in case of l2 pooling |
| 961 | if(pooling_type == PoolingType::L2) |
| 962 | { |
| 963 | data.val[0] = vmulq_f32(data.val[0], data.val[0]); |
| 964 | data.val[1] = vmulq_f32(data.val[1], data.val[1]); |
| 965 | } |
| 966 | 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] | 967 | for(int i = 1; i < pool_size; ++i) |
| 968 | { |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 969 | data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[i] + input.offset())); |
| 970 | // Get power of 2 in case of l2 pooling |
| 971 | if(pooling_type == PoolingType::L2) |
| 972 | { |
| 973 | data.val[0] = vmulq_f32(data.val[0], data.val[0]); |
| 974 | data.val[1] = vmulq_f32(data.val[1], data.val[1]); |
| 975 | } |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 976 | sum_data = vaddq_f32(sum_data, data.val[0]); |
| 977 | sum_data = vaddq_f32(sum_data, vsetq_lane_f32(0.f, data.val[1], 3)); |
| 978 | } |
| 979 | res = vpadd_f32(vget_high_f32(sum_data), vget_low_f32(sum_data)); |
| 980 | res = vmul_f32(vpadd_f32(res, res), scale_v); |
| 981 | } |
| 982 | else |
| 983 | { |
| 984 | float32x4x2_t max_data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[0] + input.offset())); |
| 985 | for(int i = 1; i < pool_size; ++i) |
| 986 | { |
| 987 | const float32x4x2_t data = vld2q_f32(reinterpret_cast<const float *>(input_ptrs[i] + input.offset())); |
| 988 | max_data = vmax2q_f32(max_data, data); |
| 989 | } |
| 990 | 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])); |
| 991 | res = vpmax_f32(res, vpmax_f32(vget_high_f32(max_data.val[0]), vget_low_f32(max_data.val[0]))); |
| 992 | res = vpmax_f32(res, res); |
| 993 | } |
Georgios Pinitas | cdf5145 | 2017-08-31 14:21:36 +0100 | [diff] [blame] | 994 | final_res = vget_lane_f32(res, 0); |
| 995 | |
| 996 | // Calculate square-root in case of l2 pooling |
| 997 | if(pooling_type == PoolingType::L2) |
| 998 | { |
| 999 | final_res = sqrt(final_res); |
| 1000 | } |
| 1001 | |
| 1002 | // Store result |
| 1003 | *(reinterpret_cast<float *>(output.ptr())) = final_res; |
Michele Di Giorgio | 8af2dd6 | 2017-06-19 15:19:29 +0100 | [diff] [blame] | 1004 | }, |
| 1005 | input, output); |
| 1006 | } |
| 1007 | |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 1008 | void NEPoolingLayerKernel::run(const Window &window, const ThreadInfo &info) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1009 | { |
Moritz Pflanzer | c186b57 | 2017-09-07 09:48:04 +0100 | [diff] [blame] | 1010 | ARM_COMPUTE_UNUSED(info); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1011 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 1012 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 1013 | ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| 1014 | |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1015 | const unsigned int pool_stride_x = _pool_info.pad_stride_info().stride().first; |
| 1016 | const unsigned int pool_stride_y = _pool_info.pad_stride_info().stride().second; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1017 | |
| 1018 | // Set step for input in x and y direction for the input |
| 1019 | Window window_input(window); |
| 1020 | unsigned int window_x_inc = 0; |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1021 | switch(_input->info()->data_type()) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1022 | { |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1023 | case DataType::QS8: |
Michalis Spyrou | bbd9fb9 | 2017-06-22 12:57:51 +0100 | [diff] [blame] | 1024 | case DataType::QS16: |
Pablo Tello | 0c34fe2 | 2017-06-26 17:17:42 +0100 | [diff] [blame] | 1025 | case DataType::F16: |
| 1026 | { |
| 1027 | window_x_inc = (pool_stride_x == 2) ? _num_elems_processed_per_iteration * 2 : _num_elems_processed_per_iteration; |
| 1028 | break; |
| 1029 | } |
| 1030 | case DataType::F32: |
| 1031 | { |
| 1032 | window_x_inc = pool_stride_x; |
| 1033 | break; |
| 1034 | } |
| 1035 | default: |
| 1036 | { |
| 1037 | ARM_COMPUTE_ERROR("Not supported"); |
| 1038 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1039 | } |
| 1040 | window_input.set(Window::DimX, Window::Dimension(window.x().start() * pool_stride_x, window.x().end() * pool_stride_x, window_x_inc)); |
| 1041 | window_input.set(Window::DimY, Window::Dimension(window.y().start() * pool_stride_y, window.y().end() * pool_stride_y, pool_stride_y)); |
| 1042 | |
| 1043 | // Run function |
| 1044 | (this->*_func)(window_input, window); |
| 1045 | } |