Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2019 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/NEROIAlignLayerKernel.h" |
| 25 | |
| 26 | #include "arm_compute/core/AccessWindowStatic.h" |
| 27 | #include "arm_compute/core/CPP/Validate.h" |
| 28 | #include "arm_compute/core/Helpers.h" |
| 29 | #include "arm_compute/core/TensorInfo.h" |
| 30 | #include "arm_compute/core/Utils.h" |
| 31 | #include "arm_compute/core/Window.h" |
| 32 | #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| 33 | #include "arm_compute/core/utils/misc/Utility.h" |
| 34 | |
| 35 | #include <arm_neon.h> |
| 36 | |
| 37 | using namespace arm_compute::misc::shape_calculator; |
| 38 | |
| 39 | namespace arm_compute |
| 40 | { |
| 41 | namespace |
| 42 | { |
| 43 | Status validate_arguments(const ITensorInfo *input, const ITensorInfo *rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info) |
| 44 | { |
| 45 | ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, rois, output); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 46 | ARM_COMPUTE_RETURN_ERROR_ON(rois->dimension(0) != 5); |
| 47 | ARM_COMPUTE_RETURN_ERROR_ON(rois->num_dimensions() > 2); |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 48 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F32, DataType::F16); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 49 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(input, DataLayout::NHWC, DataLayout::NCHW); |
| 50 | ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0)); |
| 51 | ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| 52 | |
| 53 | if(output->total_size() != 0) |
| 54 | { |
| 55 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| 56 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| 57 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(compute_roi_align_shape(*input, *rois, pool_info), output->tensor_shape()); |
| 58 | } |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 59 | |
| 60 | if(input->data_type() == DataType::QASYMM8) |
| 61 | { |
| 62 | ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rois, 1, DataType::QASYMM16); |
| 63 | |
| 64 | const UniformQuantizationInfo rois_qinfo = rois->quantization_info().uniform(); |
| 65 | ARM_COMPUTE_RETURN_ERROR_ON(rois_qinfo.scale != 0.125f); |
| 66 | ARM_COMPUTE_RETURN_ERROR_ON(rois_qinfo.offset != 0); |
| 67 | } |
| 68 | else |
| 69 | { |
| 70 | ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, rois); |
| 71 | } |
| 72 | |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 73 | return Status{}; |
| 74 | } |
| 75 | |
| 76 | std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info) |
| 77 | { |
| 78 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 79 | |
| 80 | // Output auto inizialitation if not yet initialized |
| 81 | const TensorShape output_shape = compute_roi_align_shape(*input, *rois, pool_info); |
| 82 | auto_init_if_empty((*output), output_shape, 1, input->data_type()); |
| 83 | output->set_data_layout(input->data_layout()); |
| 84 | |
| 85 | const unsigned int num_rois = rois->dimension(1); |
| 86 | Window window; |
| 87 | window.set(Window::DimX, Window::Dimension(0, num_rois)); |
| 88 | window.set(Window::DimY, Window::Dimension(0, 1)); |
| 89 | |
| 90 | AccessWindowStatic input_access(input, |
| 91 | input->valid_region().start(0), |
| 92 | input->valid_region().start(1), |
| 93 | input->valid_region().end(0), |
| 94 | input->valid_region().end(1)); |
| 95 | AccessWindowStatic output_access(output, 0, 0, pool_info.pooled_width(), pool_info.pooled_height()); |
| 96 | |
| 97 | const bool window_changed = update_window_and_padding(window, input_access, output_access); |
| 98 | output_access.set_valid_region(window, ValidRegion(Coordinates(), output->tensor_shape())); |
| 99 | |
| 100 | Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| 101 | return std::make_pair(err, window); |
| 102 | } |
| 103 | } // namespace |
| 104 | |
| 105 | NEROIAlignLayerKernel::NEROIAlignLayerKernel() |
| 106 | : _input(nullptr), _output(nullptr), _rois(nullptr), _pool_info(0, 0, 0.f) |
| 107 | { |
| 108 | } |
| 109 | |
| 110 | void NEROIAlignLayerKernel::configure(const ITensor *input, const ITensor *rois, ITensor *output, const ROIPoolingLayerInfo &pool_info) |
| 111 | { |
| 112 | ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, rois); |
| 113 | ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), rois->info(), output->info(), pool_info)); |
| 114 | // Configure kernel window |
| 115 | auto win_config = validate_and_configure_window(input->info(), rois->info(), output->info(), pool_info); |
| 116 | ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| 117 | |
| 118 | // Set instance variables |
| 119 | _input = input; |
| 120 | _rois = rois; |
| 121 | _output = output; |
| 122 | _pool_info = pool_info; |
| 123 | |
| 124 | INEKernel::configure(win_config.second); |
| 125 | } |
| 126 | |
| 127 | Status NEROIAlignLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info) |
| 128 | { |
| 129 | ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, rois, output, pool_info)); |
| 130 | return Status{}; |
| 131 | } |
| 132 | |
| 133 | /** Average pooling over an aligned window */ |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 134 | template <typename input_data_type, DataLayout data_layout> |
| 135 | inline input_data_type roi_align_1x1(const ITensor *input, |
| 136 | unsigned int roi_batch, |
| 137 | float region_start_x, |
| 138 | float bin_size_x, |
| 139 | int grid_size_x, |
| 140 | float region_end_x, |
| 141 | float region_start_y, |
| 142 | float bin_size_y, |
| 143 | int grid_size_y, |
| 144 | float region_end_y, |
| 145 | int pz) |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 146 | { |
| 147 | if((region_end_x <= region_start_x) || (region_end_y <= region_start_y)) |
| 148 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 149 | return input_data_type(0); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 150 | } |
| 151 | else |
| 152 | { |
| 153 | float avg = 0; |
| 154 | // Iterate through the aligned pooling region |
| 155 | for(int iy = 0; iy < grid_size_y; ++iy) |
| 156 | { |
| 157 | for(int ix = 0; ix < grid_size_x; ++ix) |
| 158 | { |
| 159 | // Align the window in the middle of every bin |
| 160 | float y = region_start_y + (iy + 0.5) * bin_size_y / float(grid_size_y); |
| 161 | float x = region_start_x + (ix + 0.5) * bin_size_x / float(grid_size_x); |
| 162 | |
| 163 | // Interpolation in the [0,0] [0,1] [1,0] [1,1] square |
| 164 | const int y_low = y; |
| 165 | const int x_low = x; |
| 166 | const int y_high = y_low + 1; |
| 167 | const int x_high = x_low + 1; |
| 168 | |
| 169 | const float ly = y - y_low; |
| 170 | const float lx = x - x_low; |
| 171 | const float hy = 1. - ly; |
| 172 | const float hx = 1. - lx; |
| 173 | |
| 174 | const float w1 = hy * hx; |
| 175 | const float w2 = hy * lx; |
| 176 | const float w3 = ly * hx; |
| 177 | const float w4 = ly * lx; |
| 178 | if(data_layout == DataLayout::NCHW) |
| 179 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 180 | const auto data1 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_low, y_low, pz, roi_batch))); |
| 181 | const auto data2 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_high, y_low, pz, roi_batch))); |
| 182 | const auto data3 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_low, y_high, pz, roi_batch))); |
| 183 | const auto data4 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_high, y_high, pz, roi_batch))); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 184 | avg += w1 * data1 + w2 * data2 + w3 * data3 + w4 * data4; |
| 185 | } |
| 186 | else |
| 187 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 188 | const auto data1 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_low, y_low, roi_batch))); |
| 189 | const auto data2 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_high, y_low, roi_batch))); |
| 190 | const auto data3 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_low, y_high, roi_batch))); |
| 191 | const auto data4 = *reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_high, y_high, roi_batch))); |
| 192 | avg += w1 * data1 + w2 * data2 + w3 * data3 + w4 * data4; |
| 193 | } |
| 194 | } |
| 195 | } |
| 196 | |
| 197 | avg /= grid_size_x * grid_size_y; |
| 198 | return input_data_type(avg); |
| 199 | } |
| 200 | } |
| 201 | |
| 202 | /** Average pooling over an aligned window */ |
| 203 | template <typename input_data_type, DataLayout data_layout> |
| 204 | inline input_data_type roi_align_1x1_qasymm8(const ITensor *input, |
| 205 | unsigned int roi_batch, |
| 206 | float region_start_x, |
| 207 | float bin_size_x, |
| 208 | int grid_size_x, |
| 209 | float region_end_x, |
| 210 | float region_start_y, |
| 211 | float bin_size_y, |
| 212 | int grid_size_y, |
| 213 | float region_end_y, |
| 214 | int pz, |
| 215 | const QuantizationInfo &out_qinfo) |
| 216 | { |
| 217 | if((region_end_x <= region_start_x) || (region_end_y <= region_start_y)) |
| 218 | { |
| 219 | return input_data_type(out_qinfo.uniform().offset); |
| 220 | } |
| 221 | else |
| 222 | { |
| 223 | float avg = 0; |
| 224 | const UniformQuantizationInfo input_qinfo = input->info()->quantization_info().uniform(); |
| 225 | // Iterate through the aligned pooling region |
| 226 | for(int iy = 0; iy < grid_size_y; ++iy) |
| 227 | { |
| 228 | for(int ix = 0; ix < grid_size_x; ++ix) |
| 229 | { |
| 230 | // Align the window in the middle of every bin |
| 231 | float y = region_start_y + (iy + 0.5) * bin_size_y / float(grid_size_y); |
| 232 | float x = region_start_x + (ix + 0.5) * bin_size_x / float(grid_size_x); |
| 233 | |
| 234 | // Interpolation in the [0,0] [0,1] [1,0] [1,1] square |
| 235 | const int y_low = y; |
| 236 | const int x_low = x; |
| 237 | const int y_high = y_low + 1; |
| 238 | const int x_high = x_low + 1; |
| 239 | |
| 240 | const float ly = y - y_low; |
| 241 | const float lx = x - x_low; |
| 242 | const float hy = 1. - ly; |
| 243 | const float hx = 1. - lx; |
| 244 | |
| 245 | const float w1 = hy * hx; |
| 246 | const float w2 = hy * lx; |
| 247 | const float w3 = ly * hx; |
| 248 | const float w4 = ly * lx; |
| 249 | |
| 250 | if(data_layout == DataLayout::NCHW) |
| 251 | { |
| 252 | float data1 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_low, y_low, pz, roi_batch))), input_qinfo); |
| 253 | float data2 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_high, y_low, pz, roi_batch))), input_qinfo); |
| 254 | float data3 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_low, y_high, pz, roi_batch))), input_qinfo); |
| 255 | float data4 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(x_high, y_high, pz, roi_batch))), input_qinfo); |
| 256 | avg += w1 * data1 + w2 * data2 + w3 * data3 + w4 * data4; |
| 257 | } |
| 258 | else |
| 259 | { |
| 260 | const auto data1 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_low, y_low, roi_batch))), input_qinfo); |
| 261 | const auto data2 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_high, y_low, roi_batch))), input_qinfo); |
| 262 | const auto data3 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_low, y_high, roi_batch))), input_qinfo); |
| 263 | const auto data4 = dequantize_qasymm8(*reinterpret_cast<const input_data_type *>(input->ptr_to_element(Coordinates(pz, x_high, y_high, roi_batch))), input_qinfo); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 264 | avg += w1 * data1 + w2 * data2 + w3 * data3 + w4 * data4; |
| 265 | } |
| 266 | } |
| 267 | } |
| 268 | |
| 269 | avg /= grid_size_x * grid_size_y; |
| 270 | |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 271 | return quantize_qasymm8(avg, out_qinfo); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 272 | } |
| 273 | } |
| 274 | |
| 275 | inline float compute_region_coordinate(int p, float bin_size, float roi_anchor, float max_value) |
| 276 | { |
| 277 | const float region_start = p * bin_size + roi_anchor; |
| 278 | return utility::clamp(region_start, 0.0f, max_value); |
| 279 | } |
| 280 | |
| 281 | void NEROIAlignLayerKernel::run(const Window &window, const ThreadInfo &info) |
| 282 | { |
| 283 | if(_input->info()->data_layout() == DataLayout::NCHW) |
| 284 | { |
| 285 | switch(_input->info()->data_type()) |
| 286 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 287 | case DataType::QASYMM8: |
| 288 | { |
| 289 | NEROIAlignLayerKernel::internal_run<DataLayout::NCHW, uint8_t, uint16_t>(window, info); |
| 290 | break; |
| 291 | } |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 292 | case DataType::F32: |
| 293 | { |
| 294 | NEROIAlignLayerKernel::internal_run<DataLayout::NCHW, float>(window, info); |
| 295 | break; |
| 296 | } |
| 297 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 298 | case DataType::F16: |
| 299 | { |
| 300 | NEROIAlignLayerKernel::internal_run<DataLayout::NCHW, float16_t>(window, info); |
| 301 | break; |
| 302 | } |
| 303 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 304 | default: |
| 305 | { |
| 306 | ARM_COMPUTE_ERROR("DataType not supported"); |
| 307 | break; |
| 308 | } |
| 309 | } |
| 310 | } |
| 311 | else if(_input->info()->data_layout() == DataLayout::NHWC) |
| 312 | { |
| 313 | switch(_input->info()->data_type()) |
| 314 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 315 | case DataType::QASYMM8: |
| 316 | { |
| 317 | NEROIAlignLayerKernel::internal_run<DataLayout::NHWC, uint8_t, uint16_t>(window, info); |
| 318 | break; |
| 319 | } |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 320 | case DataType::F32: |
| 321 | { |
| 322 | NEROIAlignLayerKernel::internal_run<DataLayout::NHWC, float>(window, info); |
| 323 | break; |
| 324 | } |
| 325 | #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 326 | case DataType::F16: |
| 327 | { |
| 328 | NEROIAlignLayerKernel::internal_run<DataLayout::NHWC, float16_t>(window, info); |
| 329 | break; |
| 330 | } |
| 331 | #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| 332 | default: |
| 333 | { |
| 334 | ARM_COMPUTE_ERROR("DataType not supported"); |
| 335 | break; |
| 336 | } |
| 337 | } |
| 338 | } |
| 339 | else |
| 340 | { |
| 341 | ARM_COMPUTE_ERROR("Invalid layout"); |
| 342 | } |
| 343 | } |
| 344 | |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 345 | template <DataLayout data_layout, typename input_data_type, typename roi_data_type> |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 346 | void NEROIAlignLayerKernel::internal_run(const Window &window, const ThreadInfo &info) |
| 347 | { |
| 348 | ARM_COMPUTE_UNUSED(info); |
| 349 | ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| 350 | ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| 351 | |
| 352 | const size_t values_per_roi = _rois->info()->dimension(0); |
| 353 | |
| 354 | const int roi_list_start = window.x().start(); |
| 355 | const int roi_list_end = window.x().end(); |
| 356 | |
| 357 | const unsigned int idx_width = get_data_layout_dimension_index(_input->info()->data_layout(), DataLayoutDimension::WIDTH); |
| 358 | const unsigned int idx_height = get_data_layout_dimension_index(_input->info()->data_layout(), DataLayoutDimension::HEIGHT); |
| 359 | const unsigned int idx_depth = get_data_layout_dimension_index(_input->info()->data_layout(), DataLayoutDimension::CHANNEL); |
| 360 | |
| 361 | const int input_width = _input->info()->dimension(idx_width); |
| 362 | const int input_height = _input->info()->dimension(idx_height); |
| 363 | const int input_chanels = _input->info()->dimension(idx_depth); |
| 364 | const int pooled_w = _pool_info.pooled_width(); |
| 365 | const int pooled_h = _pool_info.pooled_height(); |
| 366 | |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 367 | const DataType data_type = _input->info()->data_type(); |
| 368 | const bool is_qasymm = is_data_type_quantized_asymmetric(data_type); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 369 | |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 370 | const auto *rois_ptr = reinterpret_cast<const roi_data_type *>(_rois->buffer()); |
| 371 | const QuantizationInfo &rois_qinfo = _rois->info()->quantization_info(); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 372 | for(int roi_indx = roi_list_start; roi_indx < roi_list_end; ++roi_indx) |
| 373 | { |
| 374 | const unsigned int roi_batch = rois_ptr[values_per_roi * roi_indx]; |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 375 | |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 376 | roi_data_type qx1 = rois_ptr[values_per_roi * roi_indx + 1]; |
| 377 | roi_data_type qy1 = rois_ptr[values_per_roi * roi_indx + 2]; |
| 378 | roi_data_type qx2 = rois_ptr[values_per_roi * roi_indx + 3]; |
| 379 | roi_data_type qy2 = rois_ptr[values_per_roi * roi_indx + 4]; |
| 380 | float x1(qx1); |
| 381 | float x2(qx2); |
| 382 | float y1(qy1); |
| 383 | float y2(qy2); |
| 384 | if(is_qasymm) |
| 385 | { |
| 386 | x1 = dequantize_qasymm16(qx1, rois_qinfo); |
| 387 | x2 = dequantize_qasymm16(qx2, rois_qinfo); |
| 388 | y1 = dequantize_qasymm16(qy1, rois_qinfo); |
| 389 | y2 = dequantize_qasymm16(qy2, rois_qinfo); |
| 390 | } |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 391 | const float roi_anchor_x = x1 * _pool_info.spatial_scale(); |
| 392 | const float roi_anchor_y = y1 * _pool_info.spatial_scale(); |
| 393 | const float roi_dims_x = std::max((x2 - x1) * _pool_info.spatial_scale(), 1.0f); |
| 394 | const float roi_dims_y = std::max((y2 - y1) * _pool_info.spatial_scale(), 1.0f); |
| 395 | float bin_size_x = roi_dims_x / _pool_info.pooled_width(); |
| 396 | float bin_size_y = roi_dims_y / _pool_info.pooled_height(); |
| 397 | |
| 398 | // Iterate through all feature maps |
| 399 | for(int ch = 0; ch < input_chanels; ++ch) |
| 400 | { |
| 401 | // Iterate through all output pixels |
| 402 | for(int py = 0; py < pooled_h; ++py) |
| 403 | { |
| 404 | for(int px = 0; px < pooled_w; ++px) |
| 405 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 406 | const float region_start_x = compute_region_coordinate(px, bin_size_x, roi_anchor_x, input_width); |
| 407 | const float region_start_y = compute_region_coordinate(py, bin_size_y, roi_anchor_y, input_height); |
| 408 | const float region_end_x = compute_region_coordinate(px + 1, bin_size_x, roi_anchor_x, input_width); |
| 409 | const float region_end_y = compute_region_coordinate(py + 1, bin_size_y, roi_anchor_y, input_height); |
| 410 | const int roi_bin_grid_x = (_pool_info.sampling_ratio() > 0) ? _pool_info.sampling_ratio() : int(ceil(bin_size_x)); |
| 411 | const int roi_bin_grid_y = (_pool_info.sampling_ratio() > 0) ? _pool_info.sampling_ratio() : int(ceil(bin_size_y)); |
| 412 | input_data_type out_val(0); |
| 413 | if(is_qasymm) |
| 414 | { |
| 415 | out_val = roi_align_1x1_qasymm8<input_data_type, data_layout>( |
| 416 | _input, roi_batch, region_start_x, bin_size_x, |
| 417 | roi_bin_grid_x, region_end_x, region_start_y, bin_size_y, |
| 418 | roi_bin_grid_y, region_end_y, ch, _output->info()->quantization_info()); |
| 419 | } |
| 420 | else |
| 421 | { |
| 422 | out_val = roi_align_1x1<input_data_type, data_layout>( |
| 423 | _input, roi_batch, region_start_x, bin_size_x, |
| 424 | roi_bin_grid_x, region_end_x, region_start_y, bin_size_y, |
| 425 | roi_bin_grid_y, region_end_y, ch); |
| 426 | } |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 427 | |
| 428 | if(data_layout == DataLayout::NCHW) |
| 429 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 430 | auto out_ptr = reinterpret_cast<input_data_type *>(_output->ptr_to_element(Coordinates(px, py, ch, roi_indx))); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 431 | *out_ptr = out_val; |
| 432 | } |
| 433 | else |
| 434 | { |
Pablo Tello | ebe2e8c | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 435 | auto out_ptr = reinterpret_cast<input_data_type *>(_output->ptr_to_element(Coordinates(ch, px, py, roi_indx))); |
Pablo Tello | d75f9e9 | 2019-08-23 16:26:26 +0100 | [diff] [blame] | 436 | *out_ptr = out_val; |
| 437 | } |
| 438 | } |
| 439 | } |
| 440 | } |
| 441 | } |
| 442 | } |
| 443 | } // namespace arm_compute |