| Artsiom Ablavatski | 9791810 | 2020-10-27 15:52:59 -0700 | [diff] [blame] | 1 | // Copyright 2020 Google LLC |
| 2 | // |
| 3 | // This source code is licensed under the BSD-style license found in the |
| 4 | // LICENSE file in the root directory of this source tree. |
| 5 | |
| 6 | #include <gtest/gtest.h> |
| 7 | |
| 8 | #include "resize-bilinear-operator-tester.h" |
| 9 | |
| 10 | |
| 11 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_upscale_y) { |
| 12 | for (size_t input_height = 2; input_height <= 3; input_height++) { |
| 13 | for (size_t output_height = input_height + 1; output_height < 15; output_height *= 3) { |
| 14 | ResizeBilinearOperatorTester() |
| 15 | .input_size(input_height, 2) |
| 16 | .output_size(output_height, 2) |
| 17 | .channels(17) |
| 18 | .iterations(3) |
| 19 | .TestNCHWxF32(); |
| 20 | } |
| 21 | } |
| 22 | } |
| 23 | |
| 24 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_upscale_x) { |
| 25 | for (size_t input_width = 2; input_width <= 3; input_width++) { |
| 26 | for (size_t output_width = input_width + 1; output_width < 15; output_width *= 3) { |
| 27 | ResizeBilinearOperatorTester() |
| 28 | .input_size(2, input_width) |
| 29 | .output_size(2, output_width) |
| 30 | .channels(17) |
| 31 | .iterations(3) |
| 32 | .TestNCHWxF32(); |
| 33 | } |
| 34 | } |
| 35 | } |
| 36 | |
| 37 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_upscale) { |
| 38 | for (size_t output_height = 3; output_height <= 5; output_height += 2) { |
| 39 | for (size_t output_width = 3; output_width <= 5; output_width += 2) { |
| 40 | ResizeBilinearOperatorTester() |
| 41 | .input_size(2, 2) |
| 42 | .output_size(output_height, output_width) |
| 43 | .channels(17) |
| 44 | .iterations(3) |
| 45 | .TestNCHWxF32(); |
| 46 | } |
| 47 | } |
| 48 | } |
| 49 | |
| 50 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_downscale_y) { |
| 51 | for (size_t output_height = 1; output_height <= 3; output_height++) { |
| 52 | for (size_t input_height = output_height + 1; input_height < 15; input_height *= 3) { |
| 53 | ResizeBilinearOperatorTester() |
| 54 | .input_size(input_height, 2) |
| 55 | .output_size(output_height, 2) |
| 56 | .channels(17) |
| 57 | .iterations(3) |
| 58 | .TestNCHWxF32(); |
| 59 | } |
| 60 | } |
| 61 | } |
| 62 | |
| 63 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_downscale_x) { |
| 64 | for (size_t output_width = 2; output_width <= 3; output_width++) { |
| 65 | for (size_t input_width = output_width + 1; input_width < 15; input_width *= 3) { |
| 66 | ResizeBilinearOperatorTester() |
| 67 | .input_size(2, input_width) |
| 68 | .output_size(2, output_width) |
| 69 | .channels(17) |
| 70 | .iterations(3) |
| 71 | .TestNCHWxF32(); |
| 72 | } |
| 73 | } |
| 74 | } |
| 75 | |
| 76 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_downscale) { |
| 77 | for (size_t input_height = 3; input_height <= 5; input_height += 2) { |
| 78 | for (size_t input_width = 3; input_width <= 5; input_width += 2) { |
| 79 | ResizeBilinearOperatorTester() |
| 80 | .input_size(input_height, input_width) |
| 81 | .output_size(2, 2) |
| 82 | .channels(17) |
| 83 | .iterations(3) |
| 84 | .TestNCHWxF32(); |
| 85 | } |
| 86 | } |
| 87 | } |
| 88 | |
| 89 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_identical_size) { |
| 90 | for (size_t height = 2; height < 10; height *= 3) { |
| 91 | for (size_t width = 2; width < 10; width *= 3) { |
| 92 | ResizeBilinearOperatorTester() |
| 93 | .input_size(height, width) |
| 94 | .output_size(height, width) |
| 95 | .channels(17) |
| 96 | .iterations(3) |
| 97 | .TestNCHWxF32(); |
| 98 | } |
| 99 | } |
| 100 | } |
| 101 | |
| 102 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_varying_channels) { |
| 103 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 104 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 105 | for (size_t channels = 15; channels <= 19; channels++) { |
| 106 | ResizeBilinearOperatorTester() |
| 107 | .input_size(input_size, input_size) |
| 108 | .output_size(output_size, output_size) |
| 109 | .channels(channels) |
| 110 | .iterations(3) |
| 111 | .TestNCHWxF32(); |
| 112 | } |
| 113 | } |
| 114 | } |
| 115 | } |
| 116 | |
| 117 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_with_input_stride) { |
| 118 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 119 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 120 | for (size_t channels = 15; channels <= 19; channels++) { |
| 121 | ResizeBilinearOperatorTester() |
| 122 | .input_size(input_size, input_size) |
| 123 | .output_size(output_size, output_size) |
| 124 | .channels(channels) |
| 125 | .input_pixel_stride(23) |
| 126 | .iterations(3) |
| 127 | .TestNCHWxF32(); |
| 128 | } |
| 129 | } |
| 130 | } |
| 131 | } |
| 132 | |
| 133 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_with_output_stride) { |
| 134 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 135 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 136 | for (size_t channels = 15; channels <= 19; channels++) { |
| 137 | ResizeBilinearOperatorTester() |
| 138 | .input_size(input_size, input_size) |
| 139 | .output_size(output_size, output_size) |
| 140 | .channels(channels) |
| 141 | .output_pixel_stride(29) |
| 142 | .iterations(3) |
| 143 | .TestNCHWxF32(); |
| 144 | } |
| 145 | } |
| 146 | } |
| 147 | } |
| 148 | |
| 149 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_centers_varying_batch_size) { |
| 150 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 151 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 152 | for (size_t batch_size = 2; batch_size <= 3; batch_size++) { |
| 153 | ResizeBilinearOperatorTester() |
| 154 | .batch_size(batch_size) |
| 155 | .input_size(input_size, input_size) |
| 156 | .output_size(output_size, output_size) |
| 157 | .iterations(3) |
| 158 | .TestNCHWxF32(); |
| 159 | } |
| 160 | } |
| 161 | } |
| 162 | } |
| 163 | |
| 164 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_upscale_y) { |
| 165 | for (size_t input_height = 2; input_height <= 3; input_height++) { |
| 166 | for (size_t output_height = input_height + 1; output_height < 15; output_height *= 3) { |
| 167 | ResizeBilinearOperatorTester() |
| 168 | .align_corners(true) |
| 169 | .input_size(input_height, 2) |
| 170 | .output_size(output_height, 2) |
| 171 | .channels(17) |
| 172 | .iterations(3) |
| 173 | .TestNCHWxF32(); |
| 174 | } |
| 175 | } |
| 176 | } |
| 177 | |
| 178 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_upscale_x) { |
| 179 | for (size_t input_width = 2; input_width <= 3; input_width++) { |
| 180 | for (size_t output_width = input_width + 1; output_width < 15; output_width *= 3) { |
| 181 | ResizeBilinearOperatorTester() |
| 182 | .align_corners(true) |
| 183 | .input_size(2, input_width) |
| 184 | .output_size(2, output_width) |
| 185 | .channels(17) |
| 186 | .iterations(3) |
| 187 | .TestNCHWxF32(); |
| 188 | } |
| 189 | } |
| 190 | } |
| 191 | |
| 192 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_upscale) { |
| 193 | for (size_t output_height = 3; output_height <= 5; output_height += 2) { |
| 194 | for (size_t output_width = 3; output_width <= 5; output_width += 2) { |
| 195 | ResizeBilinearOperatorTester() |
| 196 | .align_corners(true) |
| 197 | .input_size(2, 2) |
| 198 | .output_size(output_height, output_width) |
| 199 | .channels(17) |
| 200 | .iterations(3) |
| 201 | .TestNCHWxF32(); |
| 202 | } |
| 203 | } |
| 204 | } |
| 205 | |
| 206 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_downscale_y) { |
| 207 | for (size_t output_height = 2; output_height <= 3; output_height++) { |
| 208 | for (size_t input_height = output_height + 1; input_height < 15; input_height *= 3) { |
| 209 | ResizeBilinearOperatorTester() |
| 210 | .input_size(input_height, 2) |
| 211 | .output_size(output_height, 2) |
| 212 | .channels(17) |
| 213 | .iterations(3) |
| 214 | .TestNCHWxF32(); |
| 215 | } |
| 216 | } |
| 217 | } |
| 218 | |
| 219 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_downscale_x) { |
| 220 | for (size_t output_width = 2; output_width <= 3; output_width++) { |
| 221 | for (size_t input_width = output_width + 1; input_width < 15; input_width *= 3) { |
| 222 | ResizeBilinearOperatorTester() |
| 223 | .input_size(2, input_width) |
| 224 | .output_size(2, output_width) |
| 225 | .channels(17) |
| 226 | .iterations(3) |
| 227 | .TestNCHWxF32(); |
| 228 | } |
| 229 | } |
| 230 | } |
| 231 | |
| 232 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_downscale) { |
| 233 | for (size_t input_height = 3; input_height <= 5; input_height += 2) { |
| 234 | for (size_t input_width = 3; input_width <= 5; input_width += 2) { |
| 235 | ResizeBilinearOperatorTester() |
| 236 | .input_size(input_height, input_width) |
| 237 | .output_size(2, 2) |
| 238 | .channels(17) |
| 239 | .iterations(3) |
| 240 | .TestNCHWxF32(); |
| 241 | } |
| 242 | } |
| 243 | } |
| 244 | |
| 245 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_identical_size) { |
| 246 | for (size_t height = 2; height < 10; height *= 3) { |
| 247 | for (size_t width = 2; width < 10; width *= 3) { |
| 248 | ResizeBilinearOperatorTester() |
| 249 | .align_corners(true) |
| 250 | .input_size(height, width) |
| 251 | .output_size(height, width) |
| 252 | .channels(17) |
| 253 | .iterations(3) |
| 254 | .TestNCHWxF32(); |
| 255 | } |
| 256 | } |
| 257 | } |
| 258 | |
| 259 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_varying_channels) { |
| 260 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 261 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 262 | for (size_t channels = 15; channels <= 19; channels++) { |
| 263 | ResizeBilinearOperatorTester() |
| 264 | .align_corners(true) |
| 265 | .input_size(output_size, output_size) |
| 266 | .output_size(output_size, output_size) |
| 267 | .channels(channels) |
| 268 | .iterations(3) |
| 269 | .TestNCHWxF32(); |
| 270 | } |
| 271 | } |
| 272 | } |
| 273 | } |
| 274 | |
| 275 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_with_input_stride) { |
| 276 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 277 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 278 | for (size_t channels = 15; channels <= 19; channels++) { |
| 279 | ResizeBilinearOperatorTester() |
| 280 | .align_corners(true) |
| 281 | .input_size(output_size, output_size) |
| 282 | .output_size(output_size, output_size) |
| 283 | .channels(channels) |
| 284 | .input_pixel_stride(23) |
| 285 | .iterations(3) |
| 286 | .TestNCHWxF32(); |
| 287 | } |
| 288 | } |
| 289 | } |
| 290 | } |
| 291 | |
| 292 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_with_output_stride) { |
| 293 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 294 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 295 | for (size_t channels = 15; channels <= 19; channels++) { |
| 296 | ResizeBilinearOperatorTester() |
| 297 | .align_corners(true) |
| 298 | .input_size(output_size, output_size) |
| 299 | .output_size(output_size, output_size) |
| 300 | .channels(channels) |
| 301 | .output_pixel_stride(29) |
| 302 | .iterations(3) |
| 303 | .TestNCHWxF32(); |
| 304 | } |
| 305 | } |
| 306 | } |
| 307 | } |
| 308 | |
| 309 | TEST(RESIZE_BILINEAR_NCHW_F32, aligned_corners_varying_batch_size) { |
| 310 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 311 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 312 | for (size_t batch_size = 2; batch_size <= 3; batch_size++) { |
| 313 | ResizeBilinearOperatorTester() |
| 314 | .align_corners(true) |
| 315 | .batch_size(batch_size) |
| 316 | .input_size(output_size, output_size) |
| 317 | .output_size(output_size, output_size) |
| 318 | .iterations(3) |
| 319 | .TestNCHWxF32(); |
| 320 | } |
| 321 | } |
| 322 | } |
| 323 | } |
| 324 | |
| 325 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_upscale_y) { |
| 326 | for (size_t input_height = 2; input_height <= 3; input_height++) { |
| 327 | for (size_t output_height = input_height + 1; output_height < 15; output_height *= 3) { |
| 328 | ResizeBilinearOperatorTester() |
| 329 | .tf_legacy_mode(true) |
| 330 | .input_size(input_height, 2) |
| 331 | .output_size(output_height, 2) |
| 332 | .channels(17) |
| 333 | .iterations(3) |
| 334 | .TestNCHWxF32(); |
| 335 | } |
| 336 | } |
| 337 | } |
| 338 | |
| 339 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_upscale_x) { |
| 340 | for (size_t input_width = 2; input_width <= 3; input_width++) { |
| 341 | for (size_t output_width = input_width + 1; output_width < 15; output_width *= 3) { |
| 342 | ResizeBilinearOperatorTester() |
| 343 | .tf_legacy_mode(true) |
| 344 | .input_size(2, input_width) |
| 345 | .output_size(2, output_width) |
| 346 | .channels(17) |
| 347 | .iterations(3) |
| 348 | .TestNCHWxF32(); |
| 349 | } |
| 350 | } |
| 351 | } |
| 352 | |
| 353 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_upscale) { |
| 354 | for (size_t output_height = 3; output_height <= 5; output_height += 2) { |
| 355 | for (size_t output_width = 3; output_width <= 5; output_width += 2) { |
| 356 | ResizeBilinearOperatorTester() |
| 357 | .tf_legacy_mode(true) |
| 358 | .input_size(2, 2) |
| 359 | .output_size(output_height, output_width) |
| 360 | .channels(17) |
| 361 | .iterations(3) |
| 362 | .TestNCHWxF32(); |
| 363 | } |
| 364 | } |
| 365 | } |
| 366 | |
| 367 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_downscale_y) { |
| 368 | for (size_t output_height = 1; output_height <= 3; output_height++) { |
| 369 | for (size_t input_height = output_height + 1; input_height < 15; input_height *= 3) { |
| 370 | ResizeBilinearOperatorTester() |
| 371 | .tf_legacy_mode(true) |
| 372 | .input_size(input_height, 2) |
| 373 | .output_size(output_height, 2) |
| 374 | .channels(17) |
| 375 | .iterations(3) |
| 376 | .TestNCHWxF32(); |
| 377 | } |
| 378 | } |
| 379 | } |
| 380 | |
| 381 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_downscale_x) { |
| 382 | for (size_t output_width = 1; output_width <= 3; output_width++) { |
| 383 | for (size_t input_width = output_width + 1; input_width < 15; input_width *= 3) { |
| 384 | ResizeBilinearOperatorTester() |
| 385 | .tf_legacy_mode(true) |
| 386 | .input_size(2, input_width) |
| 387 | .output_size(2, output_width) |
| 388 | .channels(17) |
| 389 | .iterations(3) |
| 390 | .TestNCHWxF32(); |
| 391 | } |
| 392 | } |
| 393 | } |
| 394 | |
| 395 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_downscale) { |
| 396 | for (size_t input_height = 3; input_height <= 5; input_height += 2) { |
| 397 | for (size_t input_width = 3; input_width <= 5; input_width += 2) { |
| 398 | ResizeBilinearOperatorTester() |
| 399 | .tf_legacy_mode(true) |
| 400 | .input_size(input_height, input_width) |
| 401 | .output_size(2, 2) |
| 402 | .channels(17) |
| 403 | .iterations(3) |
| 404 | .TestNCHWxF32(); |
| 405 | } |
| 406 | } |
| 407 | } |
| 408 | |
| 409 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_identical_size) { |
| 410 | for (size_t height = 2; height < 10; height *= 3) { |
| 411 | for (size_t width = 2; width < 10; width *= 3) { |
| 412 | ResizeBilinearOperatorTester() |
| 413 | .tf_legacy_mode(true) |
| 414 | .input_size(height, width) |
| 415 | .output_size(height, width) |
| 416 | .channels(17) |
| 417 | .iterations(3) |
| 418 | .TestNCHWxF32(); |
| 419 | } |
| 420 | } |
| 421 | } |
| 422 | |
| 423 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_varying_channels) { |
| 424 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 425 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 426 | for (size_t channels = 15; channels <= 19; channels++) { |
| 427 | ResizeBilinearOperatorTester() |
| 428 | .tf_legacy_mode(true) |
| 429 | .input_size(output_size, output_size) |
| 430 | .output_size(output_size, output_size) |
| 431 | .channels(channels) |
| 432 | .iterations(3) |
| 433 | .TestNCHWxF32(); |
| 434 | } |
| 435 | } |
| 436 | } |
| 437 | } |
| 438 | |
| 439 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_with_input_stride) { |
| 440 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 441 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 442 | for (size_t channels = 15; channels <= 19; channels++) { |
| 443 | ResizeBilinearOperatorTester() |
| 444 | .tf_legacy_mode(true) |
| 445 | .input_size(output_size, output_size) |
| 446 | .output_size(output_size, output_size) |
| 447 | .channels(channels) |
| 448 | .input_pixel_stride(23) |
| 449 | .iterations(3) |
| 450 | .TestNCHWxF32(); |
| 451 | } |
| 452 | } |
| 453 | } |
| 454 | } |
| 455 | |
| 456 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_with_output_stride) { |
| 457 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 458 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 459 | for (size_t channels = 15; channels <= 19; channels++) { |
| 460 | ResizeBilinearOperatorTester() |
| 461 | .tf_legacy_mode(true) |
| 462 | .input_size(output_size, output_size) |
| 463 | .output_size(output_size, output_size) |
| 464 | .channels(channels) |
| 465 | .output_pixel_stride(29) |
| 466 | .iterations(3) |
| 467 | .TestNCHWxF32(); |
| 468 | } |
| 469 | } |
| 470 | } |
| 471 | } |
| 472 | |
| 473 | TEST(RESIZE_BILINEAR_NCHW_F32, tf_mode_aligned_centers_varying_batch_size) { |
| 474 | for (size_t input_size = 2; input_size <= 6; input_size += 2) { |
| 475 | for (size_t output_size = 2; output_size <= 6; output_size += 2) { |
| 476 | for (size_t batch_size = 2; batch_size <= 3; batch_size++) { |
| 477 | ResizeBilinearOperatorTester() |
| 478 | .tf_legacy_mode(true) |
| 479 | .batch_size(batch_size) |
| 480 | .input_size(output_size, output_size) |
| 481 | .output_size(output_size, output_size) |
| 482 | .iterations(3) |
| 483 | .TestNCHWxF32(); |
| 484 | } |
| 485 | } |
| 486 | } |
| 487 | } |