Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "Pooling2dTestHelper.hpp" |
| 7 | |
| 8 | #include <armnn_delegate.hpp> |
| 9 | |
| 10 | #include <flatbuffers/flatbuffers.h> |
| 11 | #include <tensorflow/lite/interpreter.h> |
| 12 | #include <tensorflow/lite/kernels/register.h> |
| 13 | #include <tensorflow/lite/model.h> |
| 14 | #include <tensorflow/lite/schema/schema_generated.h> |
| 15 | #include <tensorflow/lite/version.h> |
| 16 | |
| 17 | #include <doctest/doctest.h> |
| 18 | |
| 19 | namespace armnnDelegate |
| 20 | { |
| 21 | |
| 22 | void MaxPool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends) |
| 23 | { |
| 24 | // Set input data |
| 25 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 26 | std::vector<int32_t> outputShape { 1, 1, 2, 1 }; |
| 27 | |
| 28 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 29 | 8.0f, 12.0f, -15.0f, 2.0f, |
| 30 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 31 | |
| 32 | std::vector<float> expectedOutputValues = { 12.0f, 7.0f }; |
| 33 | |
| 34 | Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 35 | ::tflite::TensorType_FLOAT32, |
| 36 | backends, |
| 37 | inputShape, |
| 38 | outputShape, |
| 39 | inputValues, |
| 40 | expectedOutputValues, |
| 41 | ::tflite::Padding_VALID, |
| 42 | 2, |
| 43 | 2, |
| 44 | 2, |
| 45 | 2); |
| 46 | } |
| 47 | |
| 48 | void MaxPool2dInt8PaddingValidTest(std::vector<armnn::BackendId>& backends) |
| 49 | { |
| 50 | // Set input data |
| 51 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 52 | std::vector<int32_t> outputShape { 1, 1, 2, 1 }; |
| 53 | |
| 54 | std::vector<int8_t > inputValues = { -5, 8, -10, 7, |
| 55 | 8, 12, -15, 2, |
| 56 | 3, -4, -1, -11 }; |
| 57 | |
| 58 | std::vector<int8_t> expectedOutputValues = { 12, 7 }; |
| 59 | |
| 60 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 61 | ::tflite::TensorType_INT8, |
| 62 | backends, |
| 63 | inputShape, |
| 64 | outputShape, |
| 65 | inputValues, |
| 66 | expectedOutputValues, |
| 67 | ::tflite::Padding_VALID, |
| 68 | 2, |
| 69 | 2, |
| 70 | 2, |
| 71 | 2, |
| 72 | tflite::ActivationFunctionType_NONE, |
| 73 | 2.5f, |
| 74 | 1); |
| 75 | } |
| 76 | |
| 77 | void MaxPool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 78 | { |
| 79 | // Set input data |
| 80 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 81 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 82 | |
| 83 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 84 | 8.0f, 12.0f, -15.0f, 2.0f, |
| 85 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 86 | |
| 87 | std::vector<float> expectedOutputValues = { 12.0f, 7.0f, 3.0f, -1.0f }; |
| 88 | |
| 89 | Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 90 | ::tflite::TensorType_FLOAT32, |
| 91 | backends, |
| 92 | inputShape, |
| 93 | outputShape, |
| 94 | inputValues, |
| 95 | expectedOutputValues, |
| 96 | ::tflite::Padding_SAME, |
| 97 | 2, |
| 98 | 2, |
| 99 | 2, |
| 100 | 2); |
| 101 | } |
| 102 | |
| 103 | void MaxPool2dInt8PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 104 | { |
| 105 | // Set input data |
| 106 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 107 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 108 | |
| 109 | std::vector<int8_t> inputValues = { -5, 8, -10, 7, |
| 110 | 8, 12, -15, 2, |
| 111 | 3, -4, -1, -11 }; |
| 112 | |
| 113 | std::vector<int8_t> expectedOutputValues = { 12, 7, 3, -1 }; |
| 114 | |
| 115 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 116 | ::tflite::TensorType_INT8, |
| 117 | backends, |
| 118 | inputShape, |
| 119 | outputShape, |
| 120 | inputValues, |
| 121 | expectedOutputValues, |
| 122 | ::tflite::Padding_SAME, |
| 123 | 2, |
| 124 | 2, |
| 125 | 2, |
| 126 | 2, |
| 127 | tflite::ActivationFunctionType_NONE, |
| 128 | 2.5f, |
| 129 | 1); |
| 130 | } |
| 131 | |
| 132 | void MaxPool2dFP32ReluTest(std::vector<armnn::BackendId>& backends) |
| 133 | { |
| 134 | // Set input data |
| 135 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 136 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 137 | |
| 138 | std::vector<float> inputValues = { -5.0f, -8.0f, -10.0f, 7.0f, |
| 139 | -8.0f, -12.0f, -15.0f, 2.0f, |
| 140 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 141 | |
| 142 | std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 7.0f, 3.0f, 0.0f, 2.0f }; |
| 143 | |
| 144 | Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 145 | ::tflite::TensorType_FLOAT32, |
| 146 | backends, |
| 147 | inputShape, |
| 148 | outputShape, |
| 149 | inputValues, |
| 150 | expectedOutputValues, |
| 151 | ::tflite::Padding_VALID, |
| 152 | 1, |
| 153 | 1, |
| 154 | 2, |
| 155 | 2, |
| 156 | ::tflite::ActivationFunctionType_RELU); |
| 157 | } |
| 158 | |
| 159 | void MaxPool2dInt8ReluTest(std::vector<armnn::BackendId>& backends) |
| 160 | { |
| 161 | // Set input data |
| 162 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 163 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 164 | |
| 165 | std::vector<int8_t> inputValues = { -5, -8, -10, 7, |
| 166 | -8, -12, -15, 2, |
| 167 | 3, -4, -1, -11 }; |
| 168 | |
| 169 | std::vector<int8_t> expectedOutputValues = { 1, 1, 7, 3, 1, 2 }; |
| 170 | |
| 171 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 172 | ::tflite::TensorType_INT8, |
| 173 | backends, |
| 174 | inputShape, |
| 175 | outputShape, |
| 176 | inputValues, |
| 177 | expectedOutputValues, |
| 178 | ::tflite::Padding_VALID, |
| 179 | 1, |
| 180 | 1, |
| 181 | 2, |
| 182 | 2, |
| 183 | ::tflite::ActivationFunctionType_RELU, |
| 184 | 2.0f, |
| 185 | 1); |
| 186 | } |
| 187 | |
| 188 | void MaxPool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends) |
| 189 | { |
| 190 | // Set input data |
| 191 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 192 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 193 | |
| 194 | std::vector<float> inputValues = { -5.0f, -8.0f, -10.0f, 7.0f, |
| 195 | -8.0f, -12.0f, -15.0f, 2.0f, |
| 196 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 197 | |
| 198 | std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 3.0f, 0.0f }; |
| 199 | |
| 200 | Pooling2dTest<float>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 201 | ::tflite::TensorType_FLOAT32, |
| 202 | backends, |
| 203 | inputShape, |
| 204 | outputShape, |
| 205 | inputValues, |
| 206 | expectedOutputValues, |
| 207 | ::tflite::Padding_SAME, |
| 208 | 2, |
| 209 | 2, |
| 210 | 1, |
| 211 | 1, |
| 212 | ::tflite::ActivationFunctionType_RELU6); |
| 213 | } |
| 214 | |
| 215 | void MaxPool2dInt8Relu6Test(std::vector<armnn::BackendId>& backends) |
| 216 | { |
| 217 | // Set input data |
| 218 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 219 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 220 | |
| 221 | std::vector<int8_t> inputValues = { -5, -8, -10, 7, |
| 222 | -8, -12, -15, 2, |
| 223 | 3, -4, -1, -11 }; |
| 224 | |
| 225 | std::vector<int8_t> expectedOutputValues = { 1, 1, 3, 1 }; |
| 226 | |
| 227 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 228 | ::tflite::TensorType_INT8, |
| 229 | backends, |
| 230 | inputShape, |
| 231 | outputShape, |
| 232 | inputValues, |
| 233 | expectedOutputValues, |
| 234 | ::tflite::Padding_SAME, |
| 235 | 2, |
| 236 | 2, |
| 237 | 1, |
| 238 | 1, |
| 239 | ::tflite::ActivationFunctionType_RELU6, |
| 240 | 2.0f, |
| 241 | 1); |
| 242 | } |
| 243 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 244 | void MaxPool2dUint8PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 245 | { |
| 246 | // Set input data |
| 247 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 248 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 249 | |
| 250 | std::vector<uint8_t> inputValues = { 5, 8, 10, 7, |
| 251 | 8, 12, 15, 2, |
| 252 | 3, 4, 1, 11 }; |
| 253 | |
| 254 | std::vector<uint8_t> expectedOutputValues = { 12, 15, 4, 11 }; |
| 255 | |
| 256 | Pooling2dTest<uint8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 257 | ::tflite::TensorType_UINT8, |
| 258 | backends, |
| 259 | inputShape, |
| 260 | outputShape, |
| 261 | inputValues, |
| 262 | expectedOutputValues, |
| 263 | ::tflite::Padding_SAME, |
| 264 | 2, |
| 265 | 2, |
| 266 | 2, |
| 267 | 2, |
| 268 | tflite::ActivationFunctionType_NONE, |
| 269 | 2.5f, |
| 270 | 1); |
| 271 | } |
| 272 | |
| 273 | void MaxPool2dUint8ReluTest(std::vector<armnn::BackendId>& backends) |
| 274 | { |
| 275 | // Set input data |
| 276 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 277 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 278 | |
| 279 | std::vector<uint8_t> inputValues = { 12, 8, 10, 15, |
| 280 | 8, 5, 7, 2, |
| 281 | 3, 4, 1, 11 }; |
| 282 | |
| 283 | std::vector<uint8_t> expectedOutputValues = { 12, 10, 15, 8, 7, 11 }; |
| 284 | |
| 285 | Pooling2dTest<uint8_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 286 | ::tflite::TensorType_UINT8, |
| 287 | backends, |
| 288 | inputShape, |
| 289 | outputShape, |
| 290 | inputValues, |
| 291 | expectedOutputValues, |
| 292 | ::tflite::Padding_VALID, |
| 293 | 1, |
| 294 | 1, |
| 295 | 2, |
| 296 | 2, |
| 297 | ::tflite::ActivationFunctionType_RELU, |
| 298 | 2.0f, |
| 299 | 1); |
| 300 | } |
| 301 | |
| 302 | void MaxPool2dInt16PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 303 | { |
| 304 | // Set input data |
| 305 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 306 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 307 | |
| 308 | std::vector<int16_t> inputValues = { -5, 8, -10, 7, |
| 309 | 8, 12, -15, 2, |
| 310 | 3, -4, -1, -11 }; |
| 311 | |
| 312 | std::vector<int16_t> expectedOutputValues = { 12, 7, 3, -1 }; |
| 313 | |
| 314 | Pooling2dTest<int16_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 315 | ::tflite::TensorType_INT16, |
| 316 | backends, |
| 317 | inputShape, |
| 318 | outputShape, |
| 319 | inputValues, |
| 320 | expectedOutputValues, |
| 321 | ::tflite::Padding_SAME, |
| 322 | 2, |
| 323 | 2, |
| 324 | 2, |
| 325 | 2, |
| 326 | tflite::ActivationFunctionType_NONE, |
| 327 | 2.5f, |
| 328 | 0); |
| 329 | } |
| 330 | |
| 331 | void MaxPool2dInt16ReluTest(std::vector<armnn::BackendId>& backends) |
| 332 | { |
| 333 | // Set input data |
| 334 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 335 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 336 | |
| 337 | std::vector<int16_t> inputValues = { -5, -8, -10, 7, |
| 338 | -8, -12, -15, 2, |
| 339 | 3, -4, -1, -11 }; |
| 340 | |
| 341 | std::vector<int16_t> expectedOutputValues = { 0, 0, 7, 3, 0, 2 }; |
| 342 | |
| 343 | Pooling2dTest<int16_t>(tflite::BuiltinOperator_MAX_POOL_2D, |
| 344 | ::tflite::TensorType_INT16, |
| 345 | backends, |
| 346 | inputShape, |
| 347 | outputShape, |
| 348 | inputValues, |
| 349 | expectedOutputValues, |
| 350 | ::tflite::Padding_VALID, |
| 351 | 1, |
| 352 | 1, |
| 353 | 2, |
| 354 | 2, |
| 355 | ::tflite::ActivationFunctionType_RELU, |
| 356 | 2.0f, |
| 357 | 0); |
| 358 | } |
| 359 | |
| 360 | void AveragePool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends) |
| 361 | { |
| 362 | // Set input data |
| 363 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 364 | std::vector<int32_t> outputShape { 1, 1, 2, 1 }; |
| 365 | |
| 366 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 367 | 8.0f, 12.0f, -15.0f, 2.0f, |
| 368 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 369 | |
| 370 | std::vector<float> expectedOutputValues = { 5.75f, -4.0f }; |
| 371 | |
| 372 | Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 373 | ::tflite::TensorType_FLOAT32, |
| 374 | backends, |
| 375 | inputShape, |
| 376 | outputShape, |
| 377 | inputValues, |
| 378 | expectedOutputValues, |
| 379 | ::tflite::Padding_VALID, |
| 380 | 2, |
| 381 | 2, |
| 382 | 2, |
| 383 | 2); |
| 384 | } |
| 385 | |
| 386 | void AveragePool2dInt8PaddingValidTest(std::vector<armnn::BackendId>& backends) |
| 387 | { |
| 388 | // Set input data |
| 389 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 390 | std::vector<int32_t> outputShape { 1, 1, 2, 1 }; |
| 391 | |
| 392 | std::vector<int8_t > inputValues = { -5, 8, -10, 7, |
| 393 | 8, 12, -15, 2, |
| 394 | 3, -4, -1, -11 }; |
| 395 | |
| 396 | std::vector<int8_t> expectedOutputValues = { 6, -4 }; |
| 397 | |
| 398 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 399 | ::tflite::TensorType_INT8, |
| 400 | backends, |
| 401 | inputShape, |
| 402 | outputShape, |
| 403 | inputValues, |
| 404 | expectedOutputValues, |
| 405 | ::tflite::Padding_VALID, |
| 406 | 2, |
| 407 | 2, |
| 408 | 2, |
| 409 | 2, |
| 410 | tflite::ActivationFunctionType_NONE, |
| 411 | 2.5f, |
| 412 | 1); |
| 413 | } |
| 414 | |
| 415 | void AveragePool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 416 | { |
| 417 | // Set input data |
| 418 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 419 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 420 | |
| 421 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 422 | 8.0f, 12.0f, -15.0f, 2.0f, |
| 423 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 424 | |
| 425 | std::vector<float> expectedOutputValues = { 5.75f, -4.0f, -0.5f, -6.0f }; |
| 426 | |
| 427 | Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 428 | ::tflite::TensorType_FLOAT32, |
| 429 | backends, |
| 430 | inputShape, |
| 431 | outputShape, |
| 432 | inputValues, |
| 433 | expectedOutputValues, |
| 434 | ::tflite::Padding_SAME, |
| 435 | 2, |
| 436 | 2, |
| 437 | 2, |
| 438 | 2); |
| 439 | } |
| 440 | |
| 441 | void AveragePool2dInt8PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 442 | { |
| 443 | // Set input data |
| 444 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 445 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 446 | |
| 447 | std::vector<int8_t > inputValues = { -5, 8, -10, 7, |
| 448 | 8, 12, -15, 2, |
| 449 | 3, -4, -1, -11 }; |
| 450 | |
| 451 | std::vector<int8_t> expectedOutputValues = { 6, -4, -1, -6 }; |
| 452 | |
| 453 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 454 | ::tflite::TensorType_INT8, |
| 455 | backends, |
| 456 | inputShape, |
| 457 | outputShape, |
| 458 | inputValues, |
| 459 | expectedOutputValues, |
| 460 | ::tflite::Padding_SAME, |
| 461 | 2, |
| 462 | 2, |
| 463 | 2, |
| 464 | 2, |
| 465 | tflite::ActivationFunctionType_NONE, |
| 466 | 2.5f, |
| 467 | 1); |
| 468 | } |
| 469 | |
| 470 | void AveragePool2dFP32ReluTest(std::vector<armnn::BackendId>& backends) |
| 471 | { |
| 472 | // Set input data |
| 473 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 474 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 475 | |
| 476 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 477 | -8.0f, 12.0f, -15.0f, 2.0f, |
| 478 | 3.0f, -4.0f, -1.0f, 11.0f }; |
| 479 | |
| 480 | std::vector<float> expectedOutputValues = { 1.75f, 0.0f, 0.0f, 0.75f, 0.0f, 0.0f }; |
| 481 | |
| 482 | Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 483 | ::tflite::TensorType_FLOAT32, |
| 484 | backends, |
| 485 | inputShape, |
| 486 | outputShape, |
| 487 | inputValues, |
| 488 | expectedOutputValues, |
| 489 | ::tflite::Padding_VALID, |
| 490 | 1, |
| 491 | 1, |
| 492 | 2, |
| 493 | 2, |
| 494 | ::tflite::ActivationFunctionType_RELU); |
| 495 | } |
| 496 | |
| 497 | void AveragePool2dInt8ReluTest(std::vector<armnn::BackendId>& backends) |
| 498 | { |
| 499 | // Set input data |
| 500 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 501 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 502 | |
| 503 | std::vector<int8_t> inputValues = { -5, 8, -10, 7, |
| 504 | -8, 12, -15, 2, |
| 505 | 3, -4, -1, 11 }; |
| 506 | |
| 507 | std::vector<int8_t> expectedOutputValues = { 2, 1, 1, 1, 1, 1 }; |
| 508 | |
| 509 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 510 | ::tflite::TensorType_INT8, |
| 511 | backends, |
| 512 | inputShape, |
| 513 | outputShape, |
| 514 | inputValues, |
| 515 | expectedOutputValues, |
| 516 | ::tflite::Padding_VALID, |
| 517 | 1, |
| 518 | 1, |
| 519 | 2, |
| 520 | 2, |
| 521 | ::tflite::ActivationFunctionType_RELU, |
| 522 | 2.5f, |
| 523 | 1); |
| 524 | } |
| 525 | |
| 526 | void AveragePool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends) |
| 527 | { |
| 528 | // Set input data |
| 529 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 530 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 531 | |
| 532 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 533 | -8.0f, 12.0f, -15.0f, 2.0f, |
| 534 | 3.0f, -4.0f, -1.0f, 11.0f }; |
| 535 | |
| 536 | std::vector<float> expectedOutputValues = { 0.0f, 0.0f, 3.0f, 0.0f }; |
| 537 | |
| 538 | Pooling2dTest<float>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 539 | ::tflite::TensorType_FLOAT32, |
| 540 | backends, |
| 541 | inputShape, |
| 542 | outputShape, |
| 543 | inputValues, |
| 544 | expectedOutputValues, |
| 545 | ::tflite::Padding_SAME, |
| 546 | 2, |
| 547 | 2, |
| 548 | 1, |
| 549 | 1, |
| 550 | ::tflite::ActivationFunctionType_RELU6); |
| 551 | } |
| 552 | |
| 553 | void AveragePool2dInt8Relu6Test(std::vector<armnn::BackendId>& backends) |
| 554 | { |
| 555 | // Set input data |
| 556 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 557 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 558 | |
| 559 | std::vector<int8_t> inputValues = { -5, 8, -10, 7, |
| 560 | -8, 12, -15, 2, |
| 561 | 3, -4, -1, 11 }; |
| 562 | |
| 563 | std::vector<int8_t> expectedOutputValues = { 1, 1, 3, 1 }; |
| 564 | |
| 565 | Pooling2dTest<int8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 566 | ::tflite::TensorType_INT8, |
| 567 | backends, |
| 568 | inputShape, |
| 569 | outputShape, |
| 570 | inputValues, |
| 571 | expectedOutputValues, |
| 572 | ::tflite::Padding_SAME, |
| 573 | 2, |
| 574 | 2, |
| 575 | 1, |
| 576 | 1, |
| 577 | ::tflite::ActivationFunctionType_RELU6, |
| 578 | 2.5f, |
| 579 | 1); |
| 580 | } |
| 581 | |
| 582 | void AveragePool2dUint8PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 583 | { |
| 584 | // Set input data |
| 585 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 586 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 587 | |
| 588 | std::vector<uint8_t> inputValues = { 5, 8, 10, 7, |
| 589 | 8, 12, 15, 2, |
| 590 | 3, 4, 1, 11 }; |
| 591 | |
| 592 | std::vector<uint8_t> expectedOutputValues = { 8, 9, 4, 6 }; |
| 593 | |
| 594 | Pooling2dTest<uint8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 595 | ::tflite::TensorType_UINT8, |
| 596 | backends, |
| 597 | inputShape, |
| 598 | outputShape, |
| 599 | inputValues, |
| 600 | expectedOutputValues, |
| 601 | ::tflite::Padding_SAME, |
| 602 | 2, |
| 603 | 2, |
| 604 | 2, |
| 605 | 2, |
| 606 | tflite::ActivationFunctionType_NONE, |
| 607 | 2.5f, |
| 608 | 1); |
| 609 | } |
| 610 | |
| 611 | void AveragePool2dUint8ReluTest(std::vector<armnn::BackendId>& backends) |
| 612 | { |
| 613 | // Set input data |
| 614 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 615 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 616 | |
| 617 | std::vector<uint8_t> inputValues = { 12, 8, 10, 15, |
| 618 | 8, 5, 7, 2, |
| 619 | 3, 4, 1, 11 }; |
| 620 | |
| 621 | std::vector<uint8_t> expectedOutputValues = { 8, 8, 9, 5, 4, 5 }; |
| 622 | |
| 623 | Pooling2dTest<uint8_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 624 | ::tflite::TensorType_UINT8, |
| 625 | backends, |
| 626 | inputShape, |
| 627 | outputShape, |
| 628 | inputValues, |
| 629 | expectedOutputValues, |
| 630 | ::tflite::Padding_VALID, |
| 631 | 1, |
| 632 | 1, |
| 633 | 2, |
| 634 | 2, |
| 635 | ::tflite::ActivationFunctionType_RELU, |
| 636 | 2.0f, |
| 637 | 1); |
| 638 | } |
| 639 | |
| 640 | void AveragePool2dInt16PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 641 | { |
| 642 | // Set input data |
| 643 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 644 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 645 | |
| 646 | std::vector<int16_t > inputValues = { -5, 8, -10, 7, |
| 647 | 8, 12, -15, 2, |
| 648 | 3, -4, -1, -11 }; |
| 649 | |
| 650 | std::vector<int16_t> expectedOutputValues = { 6, -4, -1, -6 }; |
| 651 | |
| 652 | Pooling2dTest<int16_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 653 | ::tflite::TensorType_INT16, |
| 654 | backends, |
| 655 | inputShape, |
| 656 | outputShape, |
| 657 | inputValues, |
| 658 | expectedOutputValues, |
| 659 | ::tflite::Padding_SAME, |
| 660 | 2, |
| 661 | 2, |
| 662 | 2, |
| 663 | 2, |
| 664 | tflite::ActivationFunctionType_NONE, |
| 665 | 2.5f, |
| 666 | 0); |
| 667 | } |
| 668 | |
| 669 | void AveragePool2dInt16ReluTest(std::vector<armnn::BackendId>& backends) |
| 670 | { |
| 671 | // Set input data |
| 672 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 673 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 674 | |
| 675 | std::vector<int16_t> inputValues = { -5, 8, -10, 7, |
| 676 | -8, 12, -15, 2, |
| 677 | 3, -4, -1, 11 }; |
| 678 | |
| 679 | std::vector<int16_t> expectedOutputValues = { 2, 0, 0, 1, 0, 0 }; |
| 680 | |
| 681 | Pooling2dTest<int16_t>(tflite::BuiltinOperator_AVERAGE_POOL_2D, |
| 682 | ::tflite::TensorType_INT16, |
| 683 | backends, |
| 684 | inputShape, |
| 685 | outputShape, |
| 686 | inputValues, |
| 687 | expectedOutputValues, |
| 688 | ::tflite::Padding_VALID, |
| 689 | 1, |
| 690 | 1, |
| 691 | 2, |
| 692 | 2, |
| 693 | ::tflite::ActivationFunctionType_RELU, |
| 694 | 2.5f, |
| 695 | 0); |
| 696 | } |
| 697 | |
| 698 | void L2Pool2dFP32PaddingValidTest(std::vector<armnn::BackendId>& backends) |
| 699 | { |
| 700 | // Set input data |
| 701 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 702 | std::vector<int32_t> outputShape { 1, 1, 2, 1 }; |
| 703 | |
| 704 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 705 | 8.0f, 12.0f, -15.0f, 2.0f, |
| 706 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 707 | |
| 708 | std::vector<float> expectedOutputValues = { 8.616844f, 9.721111f }; |
| 709 | |
| 710 | Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| 711 | ::tflite::TensorType_FLOAT32, |
| 712 | backends, |
| 713 | inputShape, |
| 714 | outputShape, |
| 715 | inputValues, |
| 716 | expectedOutputValues, |
| 717 | ::tflite::Padding_VALID, |
| 718 | 2, |
| 719 | 2, |
| 720 | 2, |
| 721 | 2); |
| 722 | } |
| 723 | |
| 724 | void L2Pool2dFP32PaddingSameTest(std::vector<armnn::BackendId>& backends) |
| 725 | { |
| 726 | // Set input data |
| 727 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 728 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 729 | |
| 730 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 731 | 8.0f, 12.0f, -15.0f, 2.0f, |
| 732 | 3.0f, -4.0f, -1.0f, -11.0f }; |
| 733 | |
| 734 | std::vector<float> expectedOutputValues = { 8.616844f, 9.721111f, 3.535534f, 7.81025f }; |
| 735 | |
| 736 | Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| 737 | ::tflite::TensorType_FLOAT32, |
| 738 | backends, |
| 739 | inputShape, |
| 740 | outputShape, |
| 741 | inputValues, |
| 742 | expectedOutputValues, |
| 743 | ::tflite::Padding_SAME, |
| 744 | 2, |
| 745 | 2, |
| 746 | 2, |
| 747 | 2); |
| 748 | } |
| 749 | |
| 750 | void L2Pool2dFP32ReluTest(std::vector<armnn::BackendId>& backends) |
| 751 | { |
| 752 | // Set input data |
| 753 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 754 | std::vector<int32_t> outputShape { 1, 2, 3, 1 }; |
| 755 | |
| 756 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 757 | -8.0f, 12.0f, -15.0f, 2.0f, |
| 758 | 3.0f, -4.0f, -1.0f, 11.0f }; |
| 759 | |
| 760 | std::vector<float> expectedOutputValues = { 8.616844f, 11.543396f, 9.721111f, 7.632169f, 9.8234415f, 9.367497f }; |
| 761 | |
| 762 | Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| 763 | ::tflite::TensorType_FLOAT32, |
| 764 | backends, |
| 765 | inputShape, |
| 766 | outputShape, |
| 767 | inputValues, |
| 768 | expectedOutputValues, |
| 769 | ::tflite::Padding_VALID, |
| 770 | 1, |
| 771 | 1, |
| 772 | 2, |
| 773 | 2, |
| 774 | ::tflite::ActivationFunctionType_RELU); |
| 775 | } |
| 776 | |
| 777 | void L2Pool2dFP32Relu6Test(std::vector<armnn::BackendId>& backends) |
| 778 | { |
| 779 | // Set input data |
| 780 | std::vector<int32_t> inputShape { 1, 3, 4, 1 }; |
| 781 | std::vector<int32_t> outputShape { 1, 2, 2, 1 }; |
| 782 | |
| 783 | std::vector<float> inputValues = { -5.0f, 8.0f, -10.0f, 7.0f, |
| 784 | -8.0f, 12.0f, -15.0f, 2.0f, |
| 785 | 3.0f, -4.0f, -1.0f, 11.0f }; |
| 786 | |
| 787 | std::vector<float> expectedOutputValues = { 5.0f, 6.0f, 3.0f, 1.0f }; |
| 788 | |
| 789 | Pooling2dTest<float>(tflite::BuiltinOperator_L2_POOL_2D, |
| 790 | ::tflite::TensorType_FLOAT32, |
| 791 | backends, |
| 792 | inputShape, |
| 793 | outputShape, |
| 794 | inputValues, |
| 795 | expectedOutputValues, |
| 796 | ::tflite::Padding_SAME, |
| 797 | 2, |
| 798 | 2, |
| 799 | 1, |
| 800 | 1, |
| 801 | ::tflite::ActivationFunctionType_RELU6); |
| 802 | } |
| 803 | |
| 804 | TEST_SUITE("Pooling2d_GpuAccTests") |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 805 | { |
| 806 | |
| 807 | TEST_CASE ("MaxPooling2d_FP32_PaddingValid_GpuAcc_Test") |
| 808 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 809 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 810 | MaxPool2dFP32PaddingValidTest(backends); |
| 811 | } |
| 812 | |
| 813 | TEST_CASE ("MaxPooling2d_Int8_PaddingValid_GpuAcc_Test") |
| 814 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 815 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 816 | MaxPool2dInt8PaddingValidTest(backends); |
| 817 | } |
| 818 | |
| 819 | TEST_CASE ("MaxPooling2d_FP32_PaddingSame_GpuAcc_Test") |
| 820 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 821 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 822 | MaxPool2dFP32PaddingSameTest(backends); |
| 823 | } |
| 824 | |
| 825 | TEST_CASE ("MaxPooling2d_Int8_PaddingSame_GpuAcc_Test") |
| 826 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 827 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 828 | MaxPool2dInt8PaddingSameTest(backends); |
| 829 | } |
| 830 | |
| 831 | TEST_CASE ("MaxPooling2d_FP32_Relu_GpuAcc_Test") |
| 832 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 833 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 834 | MaxPool2dFP32ReluTest(backends); |
| 835 | } |
| 836 | |
| 837 | TEST_CASE ("MaxPooling2d_Int8_Relu_GpuAcc_Test") |
| 838 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 839 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 840 | MaxPool2dInt8ReluTest(backends); |
| 841 | } |
| 842 | |
| 843 | TEST_CASE ("MaxPooling2d_FP32_Relu6_GpuAcc_Test") |
| 844 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 845 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 846 | MaxPool2dFP32Relu6Test(backends); |
| 847 | } |
| 848 | |
| 849 | TEST_CASE ("MaxPooling2d_Int8_Relu6_GpuAcc_Test") |
| 850 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 851 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 852 | MaxPool2dInt8Relu6Test(backends); |
| 853 | } |
| 854 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 855 | TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_GpuAcc_Test") |
| 856 | { |
| 857 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 858 | MaxPool2dUint8PaddingSameTest(backends); |
| 859 | } |
| 860 | |
| 861 | TEST_CASE ("MaxPooling2d_Uint8_Relu_GpuAcc_Test") |
| 862 | { |
| 863 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 864 | MaxPool2dUint8ReluTest(backends); |
| 865 | } |
| 866 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 867 | TEST_CASE ("AveragePooling2d_FP32_PaddingValid_GpuAcc_Test") |
| 868 | { |
| 869 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 870 | AveragePool2dFP32PaddingValidTest(backends); |
| 871 | } |
| 872 | |
| 873 | TEST_CASE ("AveragePooling2d_Int8_PaddingValid_GpuAcc_Test") |
| 874 | { |
| 875 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 876 | AveragePool2dInt8PaddingValidTest(backends); |
| 877 | } |
| 878 | |
| 879 | TEST_CASE ("AveragePooling2d_FP32_PaddingSame_GpuAcc_Test") |
| 880 | { |
| 881 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 882 | AveragePool2dFP32PaddingSameTest(backends); |
| 883 | } |
| 884 | |
| 885 | TEST_CASE ("AveragePooling2d_Int8_PaddingSame_GpuAcc_Test") |
| 886 | { |
| 887 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 888 | AveragePool2dInt8PaddingSameTest(backends); |
| 889 | } |
| 890 | |
| 891 | TEST_CASE ("AveragePooling2d_FP32_Relu_GpuAcc_Test") |
| 892 | { |
| 893 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 894 | AveragePool2dFP32ReluTest(backends); |
| 895 | } |
| 896 | |
| 897 | TEST_CASE ("AveragePooling2d_FP32_Relu6_GpuAcc_Test") |
| 898 | { |
| 899 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 900 | AveragePool2dFP32Relu6Test(backends); |
| 901 | } |
| 902 | |
| 903 | TEST_CASE ("AveragePooling2d_Int8_Relu_GpuAcc_Test") |
| 904 | { |
| 905 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 906 | AveragePool2dInt8ReluTest(backends); |
| 907 | } |
| 908 | |
| 909 | TEST_CASE ("AveragePooling2d_Int8_Relu6_GpuAcc_Test") |
| 910 | { |
| 911 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 912 | AveragePool2dInt8Relu6Test(backends); |
| 913 | } |
| 914 | |
| 915 | TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_GpuAcc_Test") |
| 916 | { |
| 917 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 918 | AveragePool2dUint8PaddingSameTest(backends); |
| 919 | } |
| 920 | |
| 921 | TEST_CASE ("AveragePooling2d_Uint8_Relu_GpuAcc_Test") |
| 922 | { |
| 923 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 924 | AveragePool2dUint8ReluTest(backends); |
| 925 | } |
| 926 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 927 | TEST_CASE ("L2Pooling2d_FP32_PaddingValid_GpuAcc_Test") |
| 928 | { |
| 929 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 930 | L2Pool2dFP32PaddingValidTest(backends); |
| 931 | } |
| 932 | |
| 933 | TEST_CASE ("L2Pooling2d_FP32_PaddingSame_GpuAcc_Test") |
| 934 | { |
| 935 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 936 | L2Pool2dFP32PaddingSameTest(backends); |
| 937 | } |
| 938 | |
| 939 | TEST_CASE ("L2Pooling2d_FP32_Relu_GpuAcc_Test") |
| 940 | { |
| 941 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 942 | L2Pool2dFP32ReluTest(backends); |
| 943 | } |
| 944 | |
| 945 | TEST_CASE ("L2Pooling2d_FP32_Relu6_GpuAcc_Test") |
| 946 | { |
| 947 | std::vector<armnn::BackendId> backends = { armnn::Compute::GpuAcc }; |
| 948 | L2Pool2dFP32Relu6Test(backends); |
| 949 | } |
| 950 | |
| 951 | } // TEST_SUITE("Pooling2d_GpuAccTests") |
| 952 | |
| 953 | TEST_SUITE("Pooling2d_CpuAccTests") |
| 954 | { |
| 955 | |
| 956 | TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuAcc_Test") |
| 957 | { |
| 958 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 959 | MaxPool2dFP32PaddingValidTest(backends); |
| 960 | } |
| 961 | |
| 962 | TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuAcc_Test") |
| 963 | { |
| 964 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 965 | MaxPool2dInt8PaddingValidTest(backends); |
| 966 | } |
| 967 | |
| 968 | TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuAcc_Test") |
| 969 | { |
| 970 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 971 | MaxPool2dFP32PaddingSameTest(backends); |
| 972 | } |
| 973 | |
| 974 | TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuAcc_Test") |
| 975 | { |
| 976 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 977 | MaxPool2dInt8PaddingSameTest(backends); |
| 978 | } |
| 979 | |
| 980 | TEST_CASE ("MaxPooling2d_FP32_Relu_CpuAcc_Test") |
| 981 | { |
| 982 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 983 | MaxPool2dFP32ReluTest(backends); |
| 984 | } |
| 985 | |
| 986 | TEST_CASE ("MaxPooling2d_Int8_Relu_CpuAcc_Test") |
| 987 | { |
| 988 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 989 | MaxPool2dInt8ReluTest(backends); |
| 990 | } |
| 991 | |
| 992 | TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuAcc_Test") |
| 993 | { |
| 994 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 995 | MaxPool2dFP32Relu6Test(backends); |
| 996 | } |
| 997 | |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 998 | TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuAcc_Test") |
| 999 | { |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 1000 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 1001 | MaxPool2dInt8Relu6Test(backends); |
| 1002 | } |
| 1003 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 1004 | TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_CpuAcc_Test") |
| 1005 | { |
| 1006 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1007 | MaxPool2dUint8PaddingSameTest(backends); |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 1008 | } |
| 1009 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 1010 | TEST_CASE ("MaxPooling2d_Uint8_Relu_CpuAcc_Test") |
| 1011 | { |
| 1012 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1013 | MaxPool2dUint8ReluTest(backends); |
| 1014 | } |
| 1015 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 1016 | TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuAcc_Test") |
| 1017 | { |
| 1018 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1019 | AveragePool2dFP32PaddingValidTest(backends); |
| 1020 | } |
| 1021 | |
| 1022 | TEST_CASE ("AveragePooling2d_Int8_PaddingValid_CpuAcc_Test") |
| 1023 | { |
| 1024 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1025 | AveragePool2dInt8PaddingValidTest(backends); |
| 1026 | } |
| 1027 | |
| 1028 | TEST_CASE ("AveragePooling2d_FP32_PaddingSame_CpuAcc_Test") |
| 1029 | { |
| 1030 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1031 | AveragePool2dFP32PaddingSameTest(backends); |
| 1032 | } |
| 1033 | |
| 1034 | TEST_CASE ("AveragePooling2d_Int8_PaddingSame_CpuAcc_Test") |
| 1035 | { |
| 1036 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1037 | AveragePool2dInt8PaddingSameTest(backends); |
| 1038 | } |
| 1039 | |
| 1040 | TEST_CASE ("AveragePooling2d_FP32_Relu_CpuAcc_Test") |
| 1041 | { |
| 1042 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1043 | AveragePool2dFP32ReluTest(backends); |
| 1044 | } |
| 1045 | |
| 1046 | TEST_CASE ("AveragePooling2d_FP32_Relu6_CpuAcc_Test") |
| 1047 | { |
| 1048 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1049 | AveragePool2dFP32Relu6Test(backends); |
| 1050 | } |
| 1051 | |
| 1052 | TEST_CASE ("AveragePooling2d_Int8_Relu_CpuAcc_Test") |
| 1053 | { |
| 1054 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1055 | AveragePool2dInt8ReluTest(backends); |
| 1056 | } |
| 1057 | |
| 1058 | TEST_CASE ("AveragePooling2d_Int8_Relu6_CpuAcc_Test") |
| 1059 | { |
| 1060 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1061 | AveragePool2dInt8Relu6Test(backends); |
| 1062 | } |
| 1063 | |
| 1064 | TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_CpuAcc_Test") |
| 1065 | { |
| 1066 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1067 | AveragePool2dUint8PaddingSameTest(backends); |
| 1068 | } |
| 1069 | |
| 1070 | TEST_CASE ("AveragePooling2d_Uint8_Relu_CpuAcc_Test") |
| 1071 | { |
| 1072 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1073 | AveragePool2dUint8ReluTest(backends); |
| 1074 | } |
| 1075 | |
Narumol Prangnawarat | 8081536 | 2020-11-11 11:33:03 +0000 | [diff] [blame] | 1076 | TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuAcc_Test") |
| 1077 | { |
| 1078 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1079 | L2Pool2dFP32PaddingValidTest(backends); |
| 1080 | } |
| 1081 | |
| 1082 | TEST_CASE ("L2Pooling2d_FP32_PaddingSame_CpuAcc_Test") |
| 1083 | { |
| 1084 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1085 | L2Pool2dFP32PaddingSameTest(backends); |
| 1086 | } |
| 1087 | |
| 1088 | TEST_CASE ("L2Pooling2d_FP32_Relu_CpuAcc_Test") |
| 1089 | { |
| 1090 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1091 | L2Pool2dFP32ReluTest(backends); |
| 1092 | } |
| 1093 | |
| 1094 | TEST_CASE ("L2Pooling2d_FP32_Relu6_CpuAcc_Test") |
| 1095 | { |
| 1096 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuAcc }; |
| 1097 | L2Pool2dFP32Relu6Test(backends); |
| 1098 | } |
| 1099 | |
| 1100 | } // TEST_SUITE("Pooling2d_CpuAccTests") |
| 1101 | |
| 1102 | TEST_SUITE("Pooling2d_CpuRefTests") |
| 1103 | { |
| 1104 | |
| 1105 | TEST_CASE ("MaxPooling2d_FP32_PaddingValid_CpuRef_Test") |
| 1106 | { |
| 1107 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1108 | MaxPool2dFP32PaddingValidTest(backends); |
| 1109 | } |
| 1110 | |
| 1111 | TEST_CASE ("MaxPooling2d_Int8_PaddingValid_CpuRef_Test") |
| 1112 | { |
| 1113 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1114 | MaxPool2dInt8PaddingValidTest(backends); |
| 1115 | } |
| 1116 | |
| 1117 | TEST_CASE ("MaxPooling2d_FP32_PaddingSame_CpuRef_Test") |
| 1118 | { |
| 1119 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1120 | MaxPool2dFP32PaddingSameTest(backends); |
| 1121 | } |
| 1122 | |
| 1123 | TEST_CASE ("MaxPooling2d_Int8_PaddingSame_CpuRef_Test") |
| 1124 | { |
| 1125 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1126 | MaxPool2dInt8PaddingSameTest(backends); |
| 1127 | } |
| 1128 | |
| 1129 | TEST_CASE ("MaxPooling2d_FP32_Relu_CpuRef_Test") |
| 1130 | { |
| 1131 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1132 | MaxPool2dFP32ReluTest(backends); |
| 1133 | } |
| 1134 | |
| 1135 | TEST_CASE ("MaxPooling2d_Int8_Relu_CpuRef_Test") |
| 1136 | { |
| 1137 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1138 | MaxPool2dInt8ReluTest(backends); |
| 1139 | } |
| 1140 | |
| 1141 | TEST_CASE ("MaxPooling2d_FP32_Relu6_CpuRef_Test") |
| 1142 | { |
| 1143 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1144 | MaxPool2dFP32Relu6Test(backends); |
| 1145 | } |
| 1146 | |
| 1147 | TEST_CASE ("MaxPooling2d_Int8_Relu6_CpuRef_Test") |
| 1148 | { |
| 1149 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1150 | MaxPool2dInt8Relu6Test(backends); |
| 1151 | } |
| 1152 | |
| 1153 | TEST_CASE ("MaxPooling2d_Uint8_PaddingSame_CpuRef_Test") |
| 1154 | { |
| 1155 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1156 | MaxPool2dUint8PaddingSameTest(backends); |
| 1157 | } |
| 1158 | |
| 1159 | TEST_CASE ("MaxPooling2d_Uint8_Relu_CpuRef_Test") |
| 1160 | { |
| 1161 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1162 | MaxPool2dUint8ReluTest(backends); |
| 1163 | } |
| 1164 | |
| 1165 | TEST_CASE ("MaxPooling2d_Int16_PaddingSame_CpuRef_Test") |
| 1166 | { |
| 1167 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1168 | MaxPool2dInt16PaddingSameTest(backends); |
| 1169 | } |
| 1170 | |
| 1171 | TEST_CASE ("MaxPooling2d_Int16_Relu_CpuRef_Test") |
| 1172 | { |
| 1173 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1174 | MaxPool2dInt16ReluTest(backends); |
| 1175 | } |
| 1176 | |
| 1177 | TEST_CASE ("AveragePooling2d_FP32_PaddingValid_CpuRef_Test") |
| 1178 | { |
| 1179 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1180 | AveragePool2dFP32PaddingValidTest(backends); |
| 1181 | } |
| 1182 | |
| 1183 | TEST_CASE ("AveragePooling2d_Int8_PaddingValid_CpuRef_Test") |
| 1184 | { |
| 1185 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1186 | AveragePool2dInt8PaddingValidTest(backends); |
| 1187 | } |
| 1188 | |
| 1189 | TEST_CASE ("AveragePooling2d_FP32_PaddingSame_CpuRef_Test") |
| 1190 | { |
| 1191 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1192 | AveragePool2dFP32PaddingSameTest(backends); |
| 1193 | } |
| 1194 | |
| 1195 | TEST_CASE ("AveragePooling2d_Int8_PaddingSame_CpuRef_Test") |
| 1196 | { |
| 1197 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1198 | AveragePool2dInt8PaddingSameTest(backends); |
| 1199 | } |
| 1200 | |
| 1201 | TEST_CASE ("AveragePooling2d_FP32_Relu_CpuRef_Test") |
| 1202 | { |
| 1203 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1204 | AveragePool2dFP32ReluTest(backends); |
| 1205 | } |
| 1206 | |
| 1207 | TEST_CASE ("AveragePooling2d_FP32_Relu6_CpuRef_Test") |
| 1208 | { |
| 1209 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1210 | AveragePool2dFP32Relu6Test(backends); |
| 1211 | } |
| 1212 | |
| 1213 | TEST_CASE ("AveragePooling2d_Int8_Relu_CpuRef_Test") |
| 1214 | { |
| 1215 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1216 | AveragePool2dInt8ReluTest(backends); |
| 1217 | } |
| 1218 | |
| 1219 | TEST_CASE ("AveragePooling2d_Int8_Relu6_CpuRef_Test") |
| 1220 | { |
| 1221 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1222 | AveragePool2dInt8Relu6Test(backends); |
| 1223 | } |
| 1224 | |
| 1225 | TEST_CASE ("AveragePooling2d_Uint8_PaddingSame_CpuRef_Test") |
| 1226 | { |
| 1227 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1228 | AveragePool2dUint8PaddingSameTest(backends); |
| 1229 | } |
| 1230 | |
| 1231 | TEST_CASE ("AveragePooling2d_Uint8_Relu_CpuRef_Test") |
| 1232 | { |
| 1233 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1234 | AveragePool2dUint8ReluTest(backends); |
| 1235 | } |
| 1236 | |
| 1237 | TEST_CASE ("AveragePooling2d_Int16_PaddingSame_CpuRef_Test") |
| 1238 | { |
| 1239 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1240 | AveragePool2dInt16PaddingSameTest(backends); |
| 1241 | } |
| 1242 | |
| 1243 | TEST_CASE ("AveragePooling2d_Int16_Relu_CpuRef_Test") |
| 1244 | { |
| 1245 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1246 | AveragePool2dInt16ReluTest(backends); |
| 1247 | } |
| 1248 | |
| 1249 | TEST_CASE ("L2Pooling2d_FP32_PaddingValid_CpuRef_Test") |
| 1250 | { |
| 1251 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1252 | L2Pool2dFP32PaddingValidTest(backends); |
| 1253 | } |
| 1254 | |
| 1255 | TEST_CASE ("L2Pooling2d_FP32_PaddingSame_CpuRef_Test") |
| 1256 | { |
| 1257 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1258 | L2Pool2dFP32PaddingSameTest(backends); |
| 1259 | } |
| 1260 | |
| 1261 | TEST_CASE ("L2Pooling2d_FP32_Relu_CpuRef_Test") |
| 1262 | { |
| 1263 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1264 | L2Pool2dFP32ReluTest(backends); |
| 1265 | } |
| 1266 | |
| 1267 | TEST_CASE ("L2Pooling2d_FP32_Relu6_CpuRef_Test") |
| 1268 | { |
| 1269 | std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; |
| 1270 | L2Pool2dFP32Relu6Test(backends); |
| 1271 | } |
| 1272 | |
| 1273 | } // TEST_SUITE("Pooling2d_CpuRefTests") |
| 1274 | |
Narumol Prangnawarat | 50c87d3 | 2020-11-09 18:42:11 +0000 | [diff] [blame] | 1275 | } // namespace armnnDelegate |