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 "Reference.h" |
| 25 | |
| 26 | #include "Globals.h" |
| 27 | #include "Helpers.h" |
| 28 | #include "ReferenceCPP.h" |
| 29 | #include "TensorLibrary.h" |
| 30 | #include "validation/Helpers.h" |
| 31 | |
| 32 | #include <random> |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 33 | #include <vector> |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 34 | |
| 35 | using namespace arm_compute::test; |
| 36 | |
Isabella Gottardi | b797fa2 | 2017-06-23 15:02:11 +0100 | [diff] [blame^] | 37 | #ifndef DOXYGEN_SKIP_THIS |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 38 | namespace arm_compute |
| 39 | { |
| 40 | namespace test |
| 41 | { |
| 42 | namespace validation |
| 43 | { |
Giorgio Arena | 50f9fd7 | 2017-06-19 17:05:30 +0100 | [diff] [blame] | 44 | std::pair<RawTensor, RawTensor> Reference::compute_reference_sobel_3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) |
| 45 | { |
| 46 | // Create reference |
| 47 | RawTensor ref_src = library->get(shape, Format::U8); |
| 48 | RawTensor ref_dst_x = library->get(shape, Format::S16); |
| 49 | RawTensor ref_dst_y = library->get(shape, Format::S16); |
| 50 | |
| 51 | // Fill reference |
| 52 | library->fill_tensor_uniform(ref_src, 0); |
| 53 | |
| 54 | // Compute reference |
| 55 | ReferenceCPP::sobel_3x3(ref_src, ref_dst_x, ref_dst_y, border_mode, constant_border_value); |
| 56 | |
| 57 | return std::make_pair(ref_dst_x, ref_dst_y); |
| 58 | } |
| 59 | std::pair<RawTensor, RawTensor> Reference::compute_reference_sobel_5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) |
| 60 | { |
| 61 | // Create reference |
| 62 | RawTensor ref_src = library->get(shape, Format::U8); |
| 63 | RawTensor ref_dst_x = library->get(shape, Format::S16); |
| 64 | RawTensor ref_dst_y = library->get(shape, Format::S16); |
| 65 | |
| 66 | // Fill reference |
| 67 | library->fill_tensor_uniform(ref_src, 0); |
| 68 | |
| 69 | // Compute reference |
| 70 | ReferenceCPP::sobel_5x5(ref_src, ref_dst_x, ref_dst_y, border_mode, constant_border_value); |
| 71 | |
| 72 | return std::make_pair(ref_dst_x, ref_dst_y); |
| 73 | } |
Giorgio Arena | f795986 | 2017-06-13 15:19:51 +0100 | [diff] [blame] | 74 | std::pair<float, float> Reference::compute_reference_mean_and_standard_deviation(const TensorShape &shape) |
| 75 | { |
| 76 | // Create reference |
| 77 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 78 | |
| 79 | // Create output variables |
| 80 | float mean; |
| 81 | float std_dev; |
| 82 | |
| 83 | // Fill reference |
| 84 | library->fill_tensor_uniform(ref_src, 0); |
| 85 | |
| 86 | // Compute reference |
| 87 | ReferenceCPP::mean_and_standard_deviation(ref_src, mean, std_dev); |
| 88 | |
| 89 | return std::make_pair(mean, std_dev); |
| 90 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 91 | RawTensor Reference::compute_reference_integral_image(const TensorShape &shape) |
| 92 | { |
| 93 | // Create reference |
| 94 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 95 | RawTensor ref_dst = library->get(shape, DataType::U32); |
| 96 | |
| 97 | // Fill reference |
| 98 | library->fill_tensor_uniform(ref_src, 0); |
| 99 | |
| 100 | // Compute reference |
| 101 | ReferenceCPP::integral_image(ref_src, ref_dst); |
| 102 | |
| 103 | return ref_dst; |
| 104 | } |
| 105 | RawTensor Reference::compute_reference_absolute_difference(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out) |
| 106 | { |
| 107 | // Create reference |
| 108 | RawTensor ref_src1 = library->get(shape, dt_in0); |
| 109 | RawTensor ref_src2 = library->get(shape, dt_in1); |
| 110 | RawTensor ref_dst = library->get(shape, dt_out); |
| 111 | |
| 112 | // Fill reference |
| 113 | library->fill_tensor_uniform(ref_src1, 0); |
| 114 | library->fill_tensor_uniform(ref_src2, 1); |
| 115 | |
| 116 | // Compute reference |
| 117 | ReferenceCPP::absolute_difference(ref_src1, ref_src2, ref_dst); |
| 118 | |
| 119 | return ref_dst; |
| 120 | } |
| 121 | |
| 122 | RawTensor Reference::compute_reference_accumulate(const TensorShape &shape) |
| 123 | { |
| 124 | // Create reference |
| 125 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 126 | RawTensor ref_dst = library->get(shape, DataType::S16); |
| 127 | |
| 128 | // Fill reference |
| 129 | library->fill_tensor_uniform(ref_src, 0); |
| 130 | library->fill_tensor_uniform(ref_dst, 1); |
| 131 | |
| 132 | // Compute reference |
| 133 | ReferenceCPP::accumulate(ref_src, ref_dst); |
| 134 | |
| 135 | return ref_dst; |
| 136 | } |
| 137 | |
| 138 | RawTensor Reference::compute_reference_accumulate_squared(const TensorShape &shape, uint32_t shift) |
| 139 | { |
| 140 | // Create reference |
| 141 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 142 | RawTensor ref_dst = library->get(shape, DataType::S16); |
| 143 | |
| 144 | // Fill reference |
| 145 | // ref_dst tensor filled with non-negative values |
| 146 | library->fill_tensor_uniform(ref_src, 0); |
| 147 | library->fill_tensor_uniform(ref_dst, 1, static_cast<int16_t>(0), std::numeric_limits<int16_t>::max()); |
| 148 | |
| 149 | // Compute reference |
| 150 | ReferenceCPP::accumulate_squared(ref_src, ref_dst, shift); |
| 151 | |
| 152 | return ref_dst; |
| 153 | } |
| 154 | |
| 155 | RawTensor Reference::compute_reference_accumulate_weighted(const TensorShape &shape, float alpha) |
| 156 | { |
| 157 | // Create reference |
| 158 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 159 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 160 | |
| 161 | // Fill reference |
| 162 | library->fill_tensor_uniform(ref_src, 0); |
| 163 | library->fill_tensor_uniform(ref_dst, 1); |
| 164 | |
| 165 | // Compute reference |
| 166 | ReferenceCPP::accumulate_weighted(ref_src, ref_dst, alpha); |
| 167 | |
| 168 | return ref_dst; |
| 169 | } |
| 170 | |
| 171 | RawTensor Reference::compute_reference_arithmetic_addition(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy convert_policy) |
| 172 | { |
| 173 | // Create reference |
| 174 | RawTensor ref_src1 = library->get(shape, dt_in0); |
| 175 | RawTensor ref_src2 = library->get(shape, dt_in1); |
| 176 | RawTensor ref_dst = library->get(shape, dt_out); |
| 177 | |
| 178 | // Fill reference |
| 179 | library->fill_tensor_uniform(ref_src1, 0); |
| 180 | library->fill_tensor_uniform(ref_src2, 1); |
| 181 | |
| 182 | // Compute reference |
| 183 | ReferenceCPP::arithmetic_addition(ref_src1, ref_src2, ref_dst, convert_policy); |
| 184 | |
| 185 | return ref_dst; |
| 186 | } |
| 187 | |
| 188 | RawTensor Reference::compute_reference_arithmetic_subtraction(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, ConvertPolicy convert_policy) |
| 189 | { |
| 190 | // Create reference |
| 191 | RawTensor ref_src1 = library->get(shape, dt_in0); |
| 192 | RawTensor ref_src2 = library->get(shape, dt_in1); |
| 193 | RawTensor ref_dst = library->get(shape, dt_out); |
| 194 | |
| 195 | // Fill reference |
| 196 | library->fill_tensor_uniform(ref_src1, 0); |
| 197 | library->fill_tensor_uniform(ref_src2, 1); |
| 198 | |
| 199 | // Compute reference |
| 200 | ReferenceCPP::arithmetic_subtraction(ref_src1, ref_src2, ref_dst, convert_policy); |
| 201 | |
| 202 | return ref_dst; |
| 203 | } |
| 204 | |
| 205 | RawTensor Reference::compute_reference_bitwise_and(const TensorShape &shape) |
| 206 | { |
| 207 | // Create reference |
| 208 | RawTensor ref_src1 = library->get(shape, DataType::U8); |
| 209 | RawTensor ref_src2 = library->get(shape, DataType::U8); |
| 210 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 211 | |
| 212 | // Fill reference |
| 213 | library->fill_tensor_uniform(ref_src1, 0); |
| 214 | library->fill_tensor_uniform(ref_src2, 1); |
| 215 | |
| 216 | // Compute reference |
| 217 | ReferenceCPP::bitwise_and(ref_src1, ref_src2, ref_dst); |
| 218 | |
| 219 | return ref_dst; |
| 220 | } |
| 221 | |
| 222 | RawTensor Reference::compute_reference_bitwise_or(const TensorShape &shape) |
| 223 | { |
| 224 | // Create reference |
| 225 | RawTensor ref_src1 = library->get(shape, DataType::U8); |
| 226 | RawTensor ref_src2 = library->get(shape, DataType::U8); |
| 227 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 228 | |
| 229 | // Fill reference |
| 230 | library->fill_tensor_uniform(ref_src1, 0); |
| 231 | library->fill_tensor_uniform(ref_src2, 1); |
| 232 | |
| 233 | // Compute reference |
| 234 | ReferenceCPP::bitwise_or(ref_src1, ref_src2, ref_dst); |
| 235 | |
| 236 | return ref_dst; |
| 237 | } |
| 238 | |
| 239 | RawTensor Reference::compute_reference_bitwise_xor(const TensorShape &shape) |
| 240 | { |
| 241 | // Create reference |
| 242 | RawTensor ref_src1 = library->get(shape, DataType::U8); |
| 243 | RawTensor ref_src2 = library->get(shape, DataType::U8); |
| 244 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 245 | |
| 246 | // Fill reference |
| 247 | library->fill_tensor_uniform(ref_src1, 0); |
| 248 | library->fill_tensor_uniform(ref_src2, 1); |
| 249 | |
| 250 | // Compute reference |
| 251 | ReferenceCPP::bitwise_xor(ref_src1, ref_src2, ref_dst); |
| 252 | |
| 253 | return ref_dst; |
| 254 | } |
| 255 | |
| 256 | RawTensor Reference::compute_reference_bitwise_not(const TensorShape &shape) |
| 257 | { |
| 258 | // Create reference |
| 259 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 260 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 261 | |
| 262 | // Fill reference |
| 263 | library->fill_tensor_uniform(ref_src, 0); |
| 264 | |
| 265 | // Compute reference |
| 266 | ReferenceCPP::bitwise_not(ref_src, ref_dst); |
| 267 | |
| 268 | return ref_dst; |
| 269 | } |
| 270 | |
SiCong Li | bacaf9a | 2017-06-19 13:41:45 +0100 | [diff] [blame] | 271 | RawTensor Reference::compute_reference_box3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 272 | { |
| 273 | // Create reference |
| 274 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 275 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 276 | |
| 277 | // Fill reference |
| 278 | library->fill_tensor_uniform(ref_src, 0); |
| 279 | |
| 280 | // Compute reference |
SiCong Li | bacaf9a | 2017-06-19 13:41:45 +0100 | [diff] [blame] | 281 | ReferenceCPP::box3x3(ref_src, ref_dst, border_mode, constant_border_value); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 282 | |
| 283 | return ref_dst; |
| 284 | } |
| 285 | |
| 286 | RawTensor Reference::compute_reference_depth_convert(const TensorShape &shape, DataType dt_in, DataType dt_out, ConvertPolicy policy, uint32_t shift, uint32_t fixed_point_position) |
| 287 | { |
| 288 | RawTensor ref_src = library->get(shape, dt_in, 1, fixed_point_position); |
| 289 | RawTensor ref_dst = library->get(shape, dt_out, 1, fixed_point_position); |
| 290 | |
| 291 | // Fill reference |
| 292 | library->fill_tensor_uniform(ref_src, 0); |
| 293 | |
| 294 | // Compute reference |
| 295 | ReferenceCPP::depth_convert(ref_src, ref_dst, policy, shift); |
| 296 | |
| 297 | return ref_dst; |
| 298 | } |
| 299 | |
SiCong Li | 5a53664 | 2017-06-19 14:47:05 +0100 | [diff] [blame] | 300 | RawTensor Reference::compute_reference_gaussian3x3(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) |
| 301 | { |
| 302 | // Create reference |
| 303 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 304 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 305 | |
| 306 | // Fill reference |
| 307 | library->fill_tensor_uniform(ref_src, 0); |
| 308 | |
| 309 | // Compute reference |
| 310 | ReferenceCPP::gaussian3x3(ref_src, ref_dst, border_mode, constant_border_value); |
| 311 | |
| 312 | return ref_dst; |
| 313 | } |
| 314 | |
SiCong Li | 3eb263e | 2017-06-19 15:31:43 +0100 | [diff] [blame] | 315 | RawTensor Reference::compute_reference_gaussian5x5(const TensorShape &shape, BorderMode border_mode, uint8_t constant_border_value) |
| 316 | { |
| 317 | // Create reference |
| 318 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 319 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 320 | |
| 321 | // Fill reference |
| 322 | library->fill_tensor_uniform(ref_src, 0); |
| 323 | |
| 324 | // Compute reference |
| 325 | ReferenceCPP::gaussian5x5(ref_src, ref_dst, border_mode, constant_border_value); |
| 326 | |
| 327 | return ref_dst; |
| 328 | } |
| 329 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 330 | RawTensor Reference::compute_reference_gemm(const TensorShape &src_shape1, const TensorShape &src_shape2, const TensorShape &src_shape3, |
| 331 | const TensorShape &dst_shape, float alpha, float beta, DataType dt, int fixed_point_position) |
| 332 | { |
| 333 | RawTensor src1 = library->get(src_shape1, dt, 1, fixed_point_position); |
| 334 | RawTensor src2 = library->get(src_shape2, dt, 1, fixed_point_position); |
| 335 | RawTensor src3 = library->get(src_shape3, dt, 1, fixed_point_position); |
| 336 | RawTensor dst = library->get(dst_shape, dt, 1, fixed_point_position); |
| 337 | |
| 338 | // Fill reference |
Pablo Tello | 221f381 | 2017-06-28 17:27:56 +0100 | [diff] [blame] | 339 | if(dt == DataType::F16 || dt == DataType::F32) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 340 | { |
| 341 | std::uniform_real_distribution<> distribution(-1.0f, 1.0f); |
| 342 | library->fill(src1, distribution, 0); |
| 343 | library->fill(src2, distribution, 1); |
| 344 | library->fill(src3, distribution, 2); |
| 345 | } |
| 346 | else |
| 347 | { |
| 348 | library->fill_tensor_uniform(src1, 0); |
| 349 | library->fill_tensor_uniform(src2, 1); |
| 350 | library->fill_tensor_uniform(src3, 2); |
| 351 | } |
| 352 | |
| 353 | // Compute reference |
| 354 | ReferenceCPP::gemm(src1, src2, src3, dst, alpha, beta); |
| 355 | |
| 356 | return dst; |
| 357 | } |
| 358 | |
Isabella Gottardi | 3b77e9d | 2017-06-22 11:05:41 +0100 | [diff] [blame] | 359 | RawTensor Reference::compute_reference_non_linear_filter(const TensorShape &shape, NonLinearFilterFunction function, unsigned int mask_size, |
| 360 | MatrixPattern pattern, const uint8_t *mask, BorderMode border_mode, uint8_t constant_border_value) |
| 361 | { |
| 362 | // Create reference |
| 363 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 364 | RawTensor ref_dst = library->get(shape, DataType::U8); |
| 365 | |
| 366 | // Fill reference |
| 367 | library->fill_tensor_uniform(ref_src, 0); |
| 368 | |
| 369 | // Compute reference |
| 370 | ReferenceCPP::non_linear_filter(ref_src, ref_dst, function, mask_size, pattern, mask, border_mode, constant_border_value); |
| 371 | |
| 372 | return ref_dst; |
| 373 | } |
| 374 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 375 | RawTensor Reference::compute_reference_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, |
| 376 | RoundingPolicy rounding_policy) |
| 377 | { |
| 378 | // Create reference |
| 379 | RawTensor ref_src1 = library->get(shape, dt_in0); |
| 380 | RawTensor ref_src2 = library->get(shape, dt_in1); |
| 381 | RawTensor ref_dst = library->get(shape, dt_out); |
| 382 | |
| 383 | // Fill reference |
| 384 | library->fill_tensor_uniform(ref_src1, 0); |
| 385 | library->fill_tensor_uniform(ref_src2, 1); |
| 386 | |
| 387 | // Compute reference |
| 388 | ReferenceCPP::pixel_wise_multiplication(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy); |
| 389 | |
| 390 | return ref_dst; |
| 391 | } |
| 392 | |
| 393 | RawTensor Reference::compute_reference_fixed_point_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, int fixed_point_position, |
| 394 | ConvertPolicy convert_policy, RoundingPolicy rounding_policy) |
| 395 | { |
| 396 | // Create reference |
| 397 | RawTensor ref_src1 = library->get(shape, dt_in0, 1, fixed_point_position); |
| 398 | RawTensor ref_src2 = library->get(shape, dt_in1, 1, fixed_point_position); |
| 399 | RawTensor ref_dst = library->get(shape, dt_out, 1, fixed_point_position); |
| 400 | |
| 401 | // Fill reference |
| 402 | library->fill_tensor_uniform(ref_src1, 0); |
| 403 | library->fill_tensor_uniform(ref_src2, 1); |
| 404 | |
| 405 | // Compute reference |
| 406 | ReferenceCPP::fixed_point_pixel_wise_multiplication(ref_src1, ref_src2, ref_dst, scale, convert_policy, rounding_policy); |
| 407 | |
| 408 | return ref_dst; |
| 409 | } |
| 410 | |
Isabella Gottardi | b797fa2 | 2017-06-23 15:02:11 +0100 | [diff] [blame^] | 411 | template <typename T> |
| 412 | RawTensor Reference::compute_reference_table_lookup(const TensorShape &shape, DataType dt_inout, std::map<T, T> &lut) |
| 413 | { |
| 414 | // Create reference |
| 415 | RawTensor ref_src = library->get(shape, dt_inout); |
| 416 | RawTensor ref_dst = library->get(shape, dt_inout); |
| 417 | // Fill reference |
| 418 | library->fill_tensor_uniform(ref_src, 0); |
| 419 | |
| 420 | // Compute reference |
| 421 | ReferenceCPP::table_lookup(ref_src, ref_dst, lut); |
| 422 | |
| 423 | return ref_dst; |
| 424 | } |
| 425 | template RawTensor arm_compute::test::validation::Reference::compute_reference_table_lookup<uint8_t>(const TensorShape &shape, DataType dt_inout, std::map<uint8_t, uint8_t> &lut); |
| 426 | template RawTensor arm_compute::test::validation::Reference::compute_reference_table_lookup<int16_t>(const TensorShape &shape, DataType dt_inout, std::map<int16_t, int16_t> &lut); |
| 427 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 428 | RawTensor Reference::compute_reference_threshold(const TensorShape &shape, uint8_t threshold, uint8_t false_value, uint8_t true_value, ThresholdType type, uint8_t upper) |
| 429 | { |
| 430 | // Create reference |
Isabella Gottardi | b797fa2 | 2017-06-23 15:02:11 +0100 | [diff] [blame^] | 431 | RawTensor ref_src = library->get(shape, DataType::U8); |
| 432 | RawTensor ref_dst = library->get(shape, DataType::U8); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 433 | |
| 434 | // Fill reference |
Isabella Gottardi | b797fa2 | 2017-06-23 15:02:11 +0100 | [diff] [blame^] | 435 | library->fill_tensor_uniform(ref_src, 0); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 436 | |
| 437 | // Compute reference |
Isabella Gottardi | b797fa2 | 2017-06-23 15:02:11 +0100 | [diff] [blame^] | 438 | ReferenceCPP::threshold(ref_src, ref_dst, threshold, false_value, true_value, type, upper); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 439 | |
| 440 | return ref_dst; |
| 441 | } |
| 442 | |
| 443 | RawTensor Reference::compute_reference_activation_layer(const TensorShape &shape, DataType dt, ActivationLayerInfo act_info, int fixed_point_position) |
| 444 | { |
| 445 | // Create reference |
| 446 | RawTensor ref_src = library->get(shape, dt, 1, fixed_point_position); |
| 447 | RawTensor ref_dst = library->get(shape, dt, 1, fixed_point_position); |
| 448 | |
| 449 | // Fill reference |
| 450 | if(dt == DataType::F32) |
| 451 | { |
| 452 | float min_bound = 0; |
| 453 | float max_bound = 0; |
| 454 | std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<float>(act_info.activation()); |
| 455 | std::uniform_real_distribution<> distribution(min_bound, max_bound); |
| 456 | library->fill(ref_src, distribution, 0); |
| 457 | } |
| 458 | else |
| 459 | { |
| 460 | int min_bound = 0; |
| 461 | int max_bound = 0; |
| 462 | std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<int8_t>(act_info.activation(), fixed_point_position); |
| 463 | std::uniform_int_distribution<> distribution(min_bound, max_bound); |
| 464 | library->fill(ref_src, distribution, 0); |
| 465 | } |
| 466 | |
| 467 | // Compute reference |
| 468 | ReferenceCPP::activation_layer(ref_src, ref_dst, act_info); |
| 469 | |
| 470 | return ref_dst; |
| 471 | } |
| 472 | |
| 473 | RawTensor Reference::compute_reference_batch_normalization_layer(const TensorShape &shape0, const TensorShape &shape1, DataType dt, float epsilon, int fixed_point_position) |
| 474 | { |
| 475 | // Create reference |
| 476 | RawTensor ref_src = library->get(shape0, dt, 1, fixed_point_position); |
| 477 | RawTensor ref_dst = library->get(shape0, dt, 1, fixed_point_position); |
| 478 | RawTensor ref_mean = library->get(shape1, dt, 1, fixed_point_position); |
| 479 | RawTensor ref_var = library->get(shape1, dt, 1, fixed_point_position); |
| 480 | RawTensor ref_beta = library->get(shape1, dt, 1, fixed_point_position); |
| 481 | RawTensor ref_gamma = library->get(shape1, dt, 1, fixed_point_position); |
| 482 | |
| 483 | // Fill tensors with values from -1 to 1. |
| 484 | if(dt == DataType::F32) |
| 485 | { |
| 486 | float min_bound = 0.f; |
| 487 | float max_bound = 0.f; |
| 488 | std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<float>(); |
| 489 | std::uniform_real_distribution<> distribution(min_bound, max_bound); |
| 490 | std::uniform_real_distribution<> distribution_var(0, max_bound); |
| 491 | library->fill(ref_src, distribution, 0); |
| 492 | library->fill(ref_mean, distribution, 1); |
| 493 | library->fill(ref_var, distribution_var, 0); |
| 494 | library->fill(ref_beta, distribution, 3); |
| 495 | library->fill(ref_gamma, distribution, 4); |
| 496 | } |
| 497 | else |
| 498 | { |
| 499 | int min_bound = 0; |
| 500 | int max_bound = 0; |
| 501 | std::tie(min_bound, max_bound) = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position); |
| 502 | std::uniform_int_distribution<> distribution(min_bound, max_bound); |
| 503 | std::uniform_int_distribution<> distribution_var(0, max_bound); |
| 504 | library->fill(ref_src, distribution, 0); |
| 505 | library->fill(ref_mean, distribution, 1); |
| 506 | library->fill(ref_var, distribution_var, 0); |
| 507 | library->fill(ref_beta, distribution, 3); |
| 508 | library->fill(ref_gamma, distribution, 4); |
| 509 | } |
| 510 | |
| 511 | // Compute reference |
| 512 | ReferenceCPP::batch_normalization_layer(ref_src, ref_dst, ref_mean, ref_var, ref_beta, ref_gamma, epsilon, fixed_point_position); |
| 513 | |
| 514 | return ref_dst; |
| 515 | } |
| 516 | |
| 517 | RawTensor Reference::compute_reference_convolution_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt, |
| 518 | const PadStrideInfo &conv_info, int fixed_point_position) |
| 519 | { |
| 520 | // Create reference |
| 521 | RawTensor ref_src = library->get(input_shape, dt, 1, fixed_point_position); |
| 522 | RawTensor ref_weights = library->get(weights_shape, dt, 1, fixed_point_position); |
| 523 | RawTensor ref_bias = library->get(bias_shape, dt, 1, fixed_point_position); |
| 524 | RawTensor ref_dst = library->get(output_shape, dt, 1, fixed_point_position); |
| 525 | |
| 526 | // Fill reference |
Pablo Tello | dcdc85e | 2017-06-28 10:05:29 +0100 | [diff] [blame] | 527 | switch(dt) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 528 | { |
Pablo Tello | dcdc85e | 2017-06-28 10:05:29 +0100 | [diff] [blame] | 529 | case DataType::F32: |
| 530 | case DataType::F16: |
| 531 | { |
| 532 | std::uniform_real_distribution<> distribution(-1.0f, 1.0f); |
| 533 | library->fill(ref_src, distribution, 0); |
| 534 | library->fill(ref_weights, distribution, 1); |
| 535 | library->fill(ref_bias, distribution, 2); |
| 536 | break; |
| 537 | } |
| 538 | case DataType::QS16: |
| 539 | case DataType::QS8: |
| 540 | { |
| 541 | library->fill_tensor_uniform(ref_src, 0); |
| 542 | library->fill_tensor_uniform(ref_weights, 1); |
| 543 | library->fill_tensor_uniform(ref_bias, 2); |
| 544 | break; |
| 545 | } |
| 546 | default: |
| 547 | { |
| 548 | ARM_COMPUTE_ERROR("Not supported"); |
| 549 | break; |
| 550 | } |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 551 | } |
| 552 | |
| 553 | // Compute reference |
| 554 | ReferenceCPP::convolution_layer(ref_src, ref_weights, ref_bias, ref_dst, conv_info); |
| 555 | |
| 556 | return ref_dst; |
| 557 | } |
| 558 | |
Georgios Pinitas | ac4e873 | 2017-07-05 17:02:25 +0100 | [diff] [blame] | 559 | RawTensor Reference::compute_reference_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position) |
| 560 | { |
| 561 | std::vector<std::unique_ptr<RawTensor>> ref_srcs{}; |
| 562 | TensorShape dst_shape = calculate_depth_concatenate_shape(shapes); |
| 563 | |
| 564 | // Create tensors |
| 565 | for(unsigned int i = 0; i < shapes.size(); ++i) |
| 566 | { |
| 567 | ref_srcs.push_back(support::cpp14::make_unique<RawTensor>(RawTensor(shapes[i], dt, 1, fixed_point_position))); |
| 568 | } |
| 569 | RawTensor ref_dst = library->get(dst_shape, dt, 1, fixed_point_position); |
| 570 | |
| 571 | // Fill references |
| 572 | for(unsigned int i = 0; i < ref_srcs.size(); ++i) |
| 573 | { |
| 574 | library->fill_tensor_uniform(*ref_srcs[i], i); |
| 575 | } |
| 576 | |
| 577 | // Compute reference |
| 578 | ReferenceCPP::depth_concatenate_layer(ref_srcs, ref_dst); |
| 579 | |
| 580 | return ref_dst; |
| 581 | } |
| 582 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 583 | RawTensor Reference::compute_reference_fully_connected_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, |
| 584 | DataType dt, bool transpose_weights, int fixed_point_position) |
| 585 | { |
| 586 | // Create reference |
| 587 | RawTensor ref_src = library->get(input_shape, dt, 1, fixed_point_position); |
| 588 | RawTensor ref_bias = library->get(bias_shape, dt, 1, fixed_point_position); |
| 589 | RawTensor ref_dst = library->get(output_shape, dt, 1, fixed_point_position); |
| 590 | |
| 591 | // Swap the first and second dimension of weights' shape if transpose_weights is true |
| 592 | TensorShape ws = weights_shape; |
| 593 | if(transpose_weights) |
| 594 | { |
| 595 | const size_t dimx = ws.x(); |
| 596 | ws.set(0, ws.y()); |
| 597 | ws.set(1, dimx); |
| 598 | } |
| 599 | |
| 600 | RawTensor ref_weights = library->get(ws, dt, 1, fixed_point_position); |
| 601 | |
| 602 | // Fill reference |
Pablo Tello | dcdc85e | 2017-06-28 10:05:29 +0100 | [diff] [blame] | 603 | if(dt == DataType::F16 || dt == DataType::F32) |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 604 | { |
| 605 | std::uniform_real_distribution<> distribution(-1.0f, 1.0f); |
| 606 | library->fill(ref_src, distribution, 0); |
| 607 | library->fill(ref_weights, distribution, 1); |
| 608 | library->fill(ref_bias, distribution, 2); |
| 609 | } |
| 610 | else |
| 611 | { |
| 612 | library->fill_tensor_uniform(ref_src, 0); |
| 613 | library->fill_tensor_uniform(ref_weights, 1); |
| 614 | library->fill_tensor_uniform(ref_bias, 2); |
| 615 | } |
| 616 | |
| 617 | // Compute reference |
| 618 | ReferenceCPP::fully_connected_layer(ref_src, ref_weights, ref_bias, ref_dst); |
| 619 | |
| 620 | return ref_dst; |
| 621 | } |
| 622 | |
| 623 | RawTensor Reference::compute_reference_normalization_layer(const TensorShape &shape, DataType dt, NormalizationLayerInfo norm_info, int fixed_point_position) |
| 624 | { |
| 625 | // Create reference |
| 626 | RawTensor ref_src = library->get(shape, dt, 1, fixed_point_position); |
| 627 | RawTensor ref_dst = library->get(shape, dt, 1, fixed_point_position); |
| 628 | |
| 629 | // Fill reference |
| 630 | if(dt == DataType::QS8) |
| 631 | { |
| 632 | const int8_t one_fixed_point = 1 << fixed_point_position; |
| 633 | const int8_t minus_one_fixed_point = -one_fixed_point; |
| 634 | library->fill_tensor_uniform(ref_src, 0, minus_one_fixed_point, one_fixed_point); |
| 635 | } |
| 636 | else |
| 637 | { |
| 638 | library->fill_tensor_uniform(ref_src, 0); |
| 639 | } |
| 640 | |
| 641 | // Compute reference |
| 642 | ReferenceCPP::normalization_layer(ref_src, ref_dst, norm_info); |
| 643 | |
| 644 | return ref_dst; |
| 645 | } |
| 646 | |
| 647 | RawTensor Reference::compute_reference_pooling_layer(const TensorShape &shape_in, const TensorShape &shape_out, DataType dt, PoolingLayerInfo pool_info, int fixed_point_position) |
| 648 | { |
| 649 | // Create reference |
| 650 | RawTensor ref_src = library->get(shape_in, dt, 1, fixed_point_position); |
| 651 | RawTensor ref_dst = library->get(shape_out, dt, 1, fixed_point_position); |
| 652 | |
| 653 | // Fill reference |
| 654 | int min = 0; |
| 655 | int max = 0; |
| 656 | switch(dt) |
| 657 | { |
| 658 | case DataType::F32: |
| 659 | min = -1; |
| 660 | max = 1; |
| 661 | break; |
| 662 | case DataType::QS8: |
| 663 | min = -(1 << fixed_point_position); |
| 664 | max = (1 << fixed_point_position); |
| 665 | break; |
| 666 | default: |
| 667 | ARM_COMPUTE_ERROR("DataType not supported."); |
| 668 | } |
| 669 | std::uniform_real_distribution<> distribution(min, max); |
| 670 | library->fill(ref_src, distribution, 0.0); |
| 671 | |
| 672 | // Compute reference |
| 673 | ReferenceCPP::pooling_layer(ref_src, ref_dst, pool_info, fixed_point_position); |
| 674 | |
| 675 | return ref_dst; |
| 676 | } |
| 677 | |
Georgios Pinitas | 7b7858d | 2017-06-21 16:44:24 +0100 | [diff] [blame] | 678 | RawTensor Reference::compute_reference_roi_pooling_layer(const TensorShape &shape, DataType dt, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info) |
| 679 | { |
| 680 | TensorShape shape_dst; |
| 681 | shape_dst.set(0, pool_info.pooled_width()); |
| 682 | shape_dst.set(1, pool_info.pooled_height()); |
| 683 | shape_dst.set(2, shape.z()); |
| 684 | shape_dst.set(3, rois.size()); |
| 685 | |
| 686 | // Create reference |
| 687 | RawTensor ref_src = library->get(shape, dt); |
| 688 | RawTensor ref_dst = library->get(shape_dst, dt); |
| 689 | |
| 690 | // Fill reference |
| 691 | std::uniform_real_distribution<> distribution(-1, 1); |
| 692 | library->fill(ref_src, distribution, 0.0); |
| 693 | |
| 694 | // Compute reference |
| 695 | ReferenceCPP::roi_pooling_layer(ref_src, ref_dst, rois, pool_info); |
| 696 | |
| 697 | return ref_dst; |
| 698 | } |
| 699 | |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 700 | RawTensor Reference::compute_reference_softmax_layer(const TensorShape &shape, DataType dt, int fixed_point_position) |
| 701 | { |
| 702 | // Create reference |
| 703 | RawTensor ref_src = library->get(shape, dt, 1, fixed_point_position); |
| 704 | RawTensor ref_dst = library->get(shape, dt, 1, fixed_point_position); |
| 705 | |
| 706 | // Fill reference |
| 707 | if(arm_compute::is_data_type_float(dt)) |
| 708 | { |
Georgios Pinitas | e5f8fd6 | 2017-06-23 18:03:44 +0100 | [diff] [blame] | 709 | std::uniform_real_distribution<> distribution(-1000.f, 1000.f); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 710 | library->fill(ref_src, distribution, 0); |
| 711 | } |
| 712 | else |
| 713 | { |
| 714 | int one_fixed = 1 << fixed_point_position; |
| 715 | std::uniform_int_distribution<> distribution(-one_fixed, one_fixed); |
| 716 | library->fill(ref_src, distribution, 0); |
| 717 | } |
| 718 | |
| 719 | // Compute reference |
| 720 | ReferenceCPP::softmax_layer(ref_src, ref_dst); |
| 721 | |
| 722 | return ref_dst; |
| 723 | } |
| 724 | |
| 725 | RawTensor Reference::compute_reference_fixed_point_operation(const TensorShape &shape, DataType dt_in, DataType dt_out, FixedPointOp op, int fixed_point_position) |
| 726 | { |
| 727 | // Create reference |
| 728 | RawTensor ref_src = library->get(shape, dt_in, 1, fixed_point_position); |
| 729 | RawTensor ref_dst = library->get(shape, dt_out, 1, fixed_point_position); |
| 730 | |
| 731 | // Fill reference |
| 732 | int min = 0; |
| 733 | int max = 0; |
| 734 | switch(op) |
| 735 | { |
| 736 | case(FixedPointOp::INV_SQRT): |
Michalis Spyrou | 0a8334c | 2017-06-14 18:00:05 +0100 | [diff] [blame] | 737 | min = 1; |
| 738 | max = (dt_in == DataType::QS8) ? 0x7F : 0x7FFF; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 739 | break; |
| 740 | case(FixedPointOp::LOG): |
| 741 | min = (1 << (fixed_point_position - 1)); |
Michalis Spyrou | 0a8334c | 2017-06-14 18:00:05 +0100 | [diff] [blame] | 742 | max = (dt_in == DataType::QS8) ? 0x3F : 0x3FFF; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 743 | break; |
| 744 | case(FixedPointOp::EXP): |
Michalis Spyrou | 0a8334c | 2017-06-14 18:00:05 +0100 | [diff] [blame] | 745 | min = -(1 << (fixed_point_position - 1)); |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 746 | max = (1 << (fixed_point_position - 1)); |
| 747 | break; |
| 748 | case(FixedPointOp::RECIPROCAL): |
| 749 | min = 15; |
Michalis Spyrou | 0a8334c | 2017-06-14 18:00:05 +0100 | [diff] [blame] | 750 | max = (dt_in == DataType::QS8) ? 0x7F : 0x7FFF; |
Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 751 | break; |
| 752 | default: |
| 753 | ARM_COMPUTE_ERROR("Fixed point operation not supported"); |
| 754 | } |
| 755 | std::uniform_int_distribution<> distribution(min, max); |
| 756 | library->fill(ref_src, distribution, 0); |
| 757 | |
| 758 | // Compute reference |
| 759 | ReferenceCPP::fixed_point_operation(ref_src, ref_dst, op); |
| 760 | |
| 761 | return ref_dst; |
| 762 | } |
| 763 | |
| 764 | } // namespace validation |
| 765 | } // namespace test |
| 766 | } // namespace arm_compute |
Isabella Gottardi | b797fa2 | 2017-06-23 15:02:11 +0100 | [diff] [blame^] | 767 | #endif /* DOXYGEN_SKIP_THIS */ |