Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "MultiplicationTestImpl.hpp" |
| 7 | |
| 8 | #include "ElementwiseTestImpl.hpp" |
| 9 | |
| 10 | template<> |
| 11 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MultiplicationQueueDescriptor>( |
| 12 | const armnn::IWorkloadFactory& workloadFactory, |
| 13 | const armnn::WorkloadInfo& info, |
| 14 | const armnn::MultiplicationQueueDescriptor& descriptor) |
| 15 | { |
| 16 | return workloadFactory.CreateMultiplication(descriptor, info); |
| 17 | } |
| 18 | |
| 19 | LayerTestResult<float, 4> MultiplicationTest(armnn::IWorkloadFactory& workloadFactory, |
| 20 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 21 | { |
| 22 | const unsigned int width = 2u; |
| 23 | const unsigned int height = 2u; |
| 24 | const unsigned int channelCount = 2u; |
| 25 | const unsigned int batchSize = 2u; |
| 26 | |
| 27 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 28 | |
| 29 | std::vector<float> input0 = |
| 30 | { |
| 31 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 32 | 3, 3, 3, 3, 4, 4, 4, 4 |
| 33 | }; |
| 34 | |
| 35 | std::vector<float> input1 = |
| 36 | { |
| 37 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 38 | 4, 4, 4, 4, 5, 5, 5, 5 |
| 39 | }; |
| 40 | |
| 41 | std::vector<float> output = |
| 42 | { |
| 43 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 44 | 12, 12, 12, 12, 20, 20, 20, 20 |
| 45 | }; |
| 46 | |
| 47 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 48 | workloadFactory, |
| 49 | memoryManager, |
| 50 | shape, |
| 51 | input0, |
| 52 | shape, |
| 53 | input1, |
| 54 | shape, |
| 55 | output); |
| 56 | } |
| 57 | |
| 58 | LayerTestResult<float, 5> Multiplication5dTest(armnn::IWorkloadFactory& workloadFactory, |
| 59 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 60 | { |
| 61 | const unsigned int width = 3u; |
| 62 | const unsigned int height = 2u; |
| 63 | const unsigned int channelCount = 2u; |
| 64 | const unsigned int batchSize = 2u;; |
| 65 | const unsigned int depth = 2u; |
| 66 | |
| 67 | unsigned int shape[] = { depth, batchSize, channelCount, height, width }; |
| 68 | |
| 69 | std::vector<float> input0 = |
| 70 | { |
| 71 | 1.80f, 0.20f, 2.30f, 1.30f, 2.10f, 1.00f, |
| 72 | 2.60f, 0.60f, 2.10f, 2.30f, 2.30f, 2.00f, |
| 73 | |
| 74 | 2.50f, 1.00f, 2.90f, 3.10f, 1.50f, 2.40f, |
| 75 | 2.80f, 1.10f, 1.00f, 3.20f, 1.00f, 2.30f, |
| 76 | |
| 77 | |
| 78 | 0.30f, 2.20f, 1.00f, 0.20f, 1.60f, 1.40f, |
| 79 | 0.80f, 3.20f, 0.10f, 0.10f, 3.10f, 2.10f, |
| 80 | |
| 81 | 1.50f, 2.40f, 1.40f, 0.70f, 2.40f, 1.40f, |
| 82 | 1.60f, 1.20f, 1.90f, 0.80f, 0.00f, 0.10f, |
| 83 | }; |
| 84 | |
| 85 | std::vector<float> input1 = |
| 86 | { |
| 87 | 0.70f, 1.00f, 2.90f, 2.20f, 3.10f, 2.80f, |
| 88 | 1.80f, 2.00f, 0.50f, 2.30f, 1.20f, 2.70f, |
| 89 | |
| 90 | 2.40f, 0.20f, 3.20f, 1.60f, 0.20f, 2.50f, |
| 91 | 2.30f, 0.70f, 2.70f, 1.80f, 2.90f, 2.70f, |
| 92 | |
| 93 | |
| 94 | 3.20f, 3.20f, 0.70f, 1.90f, 2.70f, 2.50f, |
| 95 | 2.40f, 0.90f, 2.30f, 1.80f, 2.50f, 2.00f, |
| 96 | |
| 97 | 1.60f, 2.20f, 1.60f, 2.00f, 0.30f, 3.20f, |
| 98 | 0.40f, 3.00f, 2.60f, 0.30f, 0.00f, 2.50f, |
| 99 | }; |
| 100 | |
| 101 | std::vector<float> output = |
| 102 | { |
| 103 | 1.26f, 0.20f, 6.67f, 2.86f, 6.51f, 2.80f, |
| 104 | 4.68f, 1.20f, 1.05f, 5.29f, 2.76f, 5.40f, |
| 105 | |
| 106 | 6.00f, 0.20f, 9.28f, 4.96f, 0.30f, 6.00f, |
| 107 | 6.44f, 0.77f, 2.70f, 5.76f, 2.90f, 6.21f, |
| 108 | |
| 109 | |
| 110 | 0.96f, 7.04f, 0.70f, 0.38f, 4.32f, 3.50f, |
| 111 | 1.92f, 2.88f, 0.23f, 0.18f, 7.75f, 4.20f, |
| 112 | |
| 113 | 2.40f, 5.28f, 2.24f, 1.40f, 0.72f, 4.48f, |
| 114 | 0.64f, 3.60f, 4.94f, 0.24f, 0.00f, 0.25f, |
| 115 | }; |
| 116 | |
| 117 | return ElementwiseTestHelper<5, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 118 | workloadFactory, |
| 119 | memoryManager, |
| 120 | shape, |
| 121 | input0, |
| 122 | shape, |
| 123 | input1, |
| 124 | shape, |
| 125 | output); |
| 126 | } |
| 127 | |
| 128 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 129 | armnn::IWorkloadFactory& workloadFactory, |
| 130 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 131 | { |
| 132 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 133 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 134 | |
| 135 | std::vector<float> input0 = { 1, 2, 3, 4, 5, 6, 7, 8}; |
| 136 | |
| 137 | std::vector<float> input1 = { 2 }; |
| 138 | |
| 139 | std::vector<float> output = { 2, 4, 6, 8, 10, 12, 14, 16}; |
| 140 | |
| 141 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 142 | workloadFactory, |
| 143 | memoryManager, |
| 144 | shape0, |
| 145 | input0, |
| 146 | shape1, |
| 147 | input1, |
| 148 | shape0, |
| 149 | output); |
| 150 | } |
| 151 | |
| 152 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 153 | armnn::IWorkloadFactory& workloadFactory, |
| 154 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 155 | { |
| 156 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 157 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 158 | |
| 159 | std::vector<float> input0 = |
| 160 | { |
| 161 | 1, 2, 3, 4, 5, 6, |
| 162 | 7, 8, 9, 10, 11, 12, |
| 163 | 13, 14, 15, 16, 17, 18 |
| 164 | }; |
| 165 | |
| 166 | std::vector<float> input1 = { 1, 2 }; |
| 167 | |
| 168 | std::vector<float> output = |
| 169 | { |
| 170 | 1, 4, 3, 8, 5, 12, |
| 171 | 7, 16, 9, 20, 11, 24, |
| 172 | 13, 28, 15, 32, 17, 36 |
| 173 | }; |
| 174 | |
| 175 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 176 | workloadFactory, |
| 177 | memoryManager, |
| 178 | shape0, |
| 179 | input0, |
| 180 | shape1, |
| 181 | input1, |
| 182 | shape0, |
| 183 | output); |
| 184 | } |
| 185 | |
| 186 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 187 | armnn::IWorkloadFactory& workloadFactory, |
| 188 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 189 | { |
| 190 | constexpr unsigned int batchSize = 1u; |
| 191 | constexpr unsigned int channels = 2u; |
| 192 | constexpr unsigned int height = 2u; |
| 193 | constexpr unsigned int width = 3u; |
| 194 | |
| 195 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 196 | |
| 197 | // See dequantized values to the right |
| 198 | std::vector<uint8_t> input0 = |
| 199 | { |
| 200 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 201 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 202 | }; |
| 203 | |
| 204 | // See dequantized values to the right |
| 205 | std::vector<uint8_t> input1 = |
| 206 | { |
| 207 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 208 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 209 | }; |
| 210 | |
| 211 | // See dequantized values to the right |
| 212 | std::vector<uint8_t> output = |
| 213 | { |
| 214 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 215 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 216 | }; |
| 217 | |
| 218 | // Scale/offset chosen to have output values out of range |
| 219 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 220 | workloadFactory, |
| 221 | memoryManager, |
| 222 | shape, |
| 223 | input0, |
| 224 | 4.0f, |
| 225 | 1, |
| 226 | shape, |
| 227 | input1, |
| 228 | 3.0f, |
| 229 | -2, |
| 230 | shape, |
| 231 | output, |
| 232 | 1366.255f, |
| 233 | -5); |
| 234 | } |
| 235 | |
| 236 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 237 | armnn::IWorkloadFactory& workloadFactory, |
| 238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 239 | { |
| 240 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 241 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 242 | |
| 243 | std::vector<uint8_t> input0 = |
| 244 | { |
| 245 | 1, 2, 3, 4, 5, 6, |
| 246 | 7, 8, 9, 10, 11, 12 |
| 247 | }; |
| 248 | |
| 249 | std::vector<uint8_t> input1 = { 2 }; |
| 250 | |
| 251 | std::vector<uint8_t> output = |
| 252 | { |
| 253 | 2, 4, 6, 8, 10, 12, |
| 254 | 14, 16, 18, 20, 22, 24 |
| 255 | }; |
| 256 | |
| 257 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 258 | workloadFactory, |
| 259 | memoryManager, |
| 260 | shape0, |
| 261 | input0, |
| 262 | shape1, |
| 263 | input1, |
| 264 | shape0, |
| 265 | output); |
| 266 | } |
| 267 | |
| 268 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 269 | armnn::IWorkloadFactory& workloadFactory, |
| 270 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 271 | { |
| 272 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 273 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 274 | |
| 275 | std::vector<uint8_t> input0 = |
| 276 | { |
| 277 | 1, 2, 3, 4, 5, 6, |
| 278 | 7, 8, 9, 10, 11, 12 |
| 279 | }; |
| 280 | |
| 281 | std::vector<uint8_t> input1 = { 1, 2, 3 }; |
| 282 | |
| 283 | std::vector<uint8_t> output = |
| 284 | { |
| 285 | 1, 4, 9, 4, 10, 18, |
| 286 | 7, 16, 27, 10, 22, 36 |
| 287 | }; |
| 288 | |
| 289 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QuantisedAsymm8>( |
| 290 | workloadFactory, |
| 291 | memoryManager, |
| 292 | shape0, |
| 293 | input0, |
| 294 | shape1, |
| 295 | input1, |
| 296 | shape0, |
| 297 | output); |
| 298 | } |
| 299 | |
| 300 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 301 | armnn::IWorkloadFactory& workloadFactory, |
| 302 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 303 | { |
| 304 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 305 | |
| 306 | std::vector<int16_t> input0 = |
| 307 | { |
| 308 | 6, 7, 8, 9, 10, 11, |
| 309 | 12, 13, 14, 15, 16, 17 |
| 310 | }; |
| 311 | |
| 312 | std::vector<int16_t> input1 = |
| 313 | { |
| 314 | 1, 2, 3, 4, 5, 6, |
| 315 | 7, 8, 9, 10, 11, 12 |
| 316 | }; |
| 317 | |
| 318 | std::vector<int16_t> output = |
| 319 | { |
| 320 | 6, 14, 24, 36, 50, 66, |
| 321 | 84, 104, 126, 150, 176, 204 |
| 322 | }; |
| 323 | |
| 324 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 325 | workloadFactory, |
| 326 | memoryManager, |
| 327 | shape, |
| 328 | input0, |
| 329 | shape, |
| 330 | input1, |
| 331 | shape, |
| 332 | output); |
| 333 | } |
| 334 | |
| 335 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 336 | armnn::IWorkloadFactory& workloadFactory, |
| 337 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 338 | { |
| 339 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 340 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 341 | |
| 342 | std::vector<int16_t> input0 = |
| 343 | { |
| 344 | 1, 2, 3, 4, 5, 6, |
| 345 | 7, 8, 9, 10, 11, 12 |
| 346 | }; |
| 347 | |
| 348 | std::vector<int16_t> input1 = { 2 }; |
| 349 | |
| 350 | std::vector<int16_t> output = |
| 351 | { |
| 352 | 2, 4, 6, 8, 10, 12, |
| 353 | 14, 16, 18, 20, 22, 24 |
| 354 | }; |
| 355 | |
| 356 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 357 | workloadFactory, |
| 358 | memoryManager, |
| 359 | shape0, |
| 360 | input0, |
| 361 | shape1, |
| 362 | input1, |
| 363 | shape0, |
| 364 | output); |
| 365 | } |
| 366 | |
| 367 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 368 | armnn::IWorkloadFactory& workloadFactory, |
| 369 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 370 | { |
| 371 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 372 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 373 | |
| 374 | std::vector<int16_t> input0 = |
| 375 | { |
| 376 | 1, 2, 3, 4, 5, 6, |
| 377 | 7, 8, 9, 10, 11, 12 |
| 378 | }; |
| 379 | |
| 380 | std::vector<int16_t> input1 = { 1, 2, 3 }; |
| 381 | |
| 382 | std::vector<int16_t> output = |
| 383 | { |
| 384 | 1, 4, 9, 4, 10, 18, |
| 385 | 7, 16, 27, 10, 22, 36 |
| 386 | }; |
| 387 | |
| 388 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QuantisedSymm16>( |
| 389 | workloadFactory, |
| 390 | memoryManager, |
| 391 | shape0, |
| 392 | input0, |
| 393 | shape1, |
| 394 | input1, |
| 395 | shape0, |
| 396 | output); |
| 397 | } |
| 398 | |
| 399 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 400 | armnn::IWorkloadFactory& workloadFactory, |
| 401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 402 | armnn::IWorkloadFactory& refWorkloadFactory) |
| 403 | { |
| 404 | const unsigned int width = 16; |
| 405 | const unsigned int height = 32; |
| 406 | const unsigned int channelCount = 2; |
| 407 | const unsigned int batchSize = 5; |
| 408 | |
| 409 | armnn::TensorInfo inputTensorInfo0; |
| 410 | armnn::TensorInfo inputTensorInfo1; |
| 411 | armnn::TensorInfo outputTensorInfo; |
| 412 | |
| 413 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 414 | |
| 415 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 416 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 417 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 418 | |
| 419 | LayerTestResult<float,4> comparisonResult(outputTensorInfo); |
| 420 | |
| 421 | auto input0 = MakeRandomTensor<float, 4>(inputTensorInfo0, 803506992); |
| 422 | auto input1 = MakeRandomTensor<float, 4>(inputTensorInfo1, 54902257); |
| 423 | |
| 424 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = workloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 425 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = workloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 426 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 427 | |
| 428 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo0); |
| 429 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refWorkloadFactory.CreateTensorHandle(inputTensorInfo1); |
| 430 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 431 | |
| 432 | armnn::MultiplicationQueueDescriptor data; |
| 433 | armnn::WorkloadInfo info; |
| 434 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 435 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 436 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 437 | |
| 438 | armnn::MultiplicationQueueDescriptor refData = data; |
| 439 | armnn::WorkloadInfo refInfo = info; |
| 440 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 441 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 442 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 443 | |
| 444 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateMultiplication(data, info); |
| 445 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateMultiplication(refData, refInfo); |
| 446 | |
| 447 | inputHandle0->Allocate(); |
| 448 | inputHandle1->Allocate(); |
| 449 | outputHandle->Allocate(); |
| 450 | inputHandle0Ref->Allocate(); |
| 451 | inputHandle1Ref->Allocate(); |
| 452 | outputHandleRef->Allocate(); |
| 453 | |
| 454 | CopyDataToITensorHandle(inputHandle0.get(), input0.origin()); |
| 455 | CopyDataToITensorHandle(inputHandle1.get(), input1.origin()); |
| 456 | CopyDataToITensorHandle(inputHandle0Ref.get(), input0.origin()); |
| 457 | CopyDataToITensorHandle(inputHandle1Ref.get(), input1.origin()); |
| 458 | |
| 459 | workload->PostAllocationConfigure(); |
| 460 | workload->Execute(); |
| 461 | workloadRef->PostAllocationConfigure(); |
| 462 | workloadRef->Execute(); |
| 463 | CopyDataFromITensorHandle(comparisonResult.output.origin(), outputHandle.get()); |
| 464 | CopyDataFromITensorHandle(comparisonResult.outputExpected.origin(), outputHandleRef.get()); |
| 465 | |
| 466 | return comparisonResult; |
| 467 | } |