Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "MultiplicationTestImpl.hpp" |
| 7 | |
| 8 | #include "ElementwiseTestImpl.hpp" |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 9 | #include <reference/test/RefWorkloadFactoryHelper.hpp> |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 10 | |
| 11 | template<> |
| 12 | std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::MultiplicationQueueDescriptor>( |
| 13 | const armnn::IWorkloadFactory& workloadFactory, |
| 14 | const armnn::WorkloadInfo& info, |
| 15 | const armnn::MultiplicationQueueDescriptor& descriptor) |
| 16 | { |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 17 | return workloadFactory.CreateWorkload(armnn::LayerType::Multiplication, descriptor, info); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 18 | } |
| 19 | |
| 20 | LayerTestResult<float, 4> MultiplicationTest(armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 21 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 22 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 23 | { |
| 24 | const unsigned int width = 2u; |
| 25 | const unsigned int height = 2u; |
| 26 | const unsigned int channelCount = 2u; |
| 27 | const unsigned int batchSize = 2u; |
| 28 | |
| 29 | unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 30 | |
| 31 | std::vector<float> input0 = |
| 32 | { |
| 33 | 1, 1, 1, 1, 2, 2, 2, 2, |
| 34 | 3, 3, 3, 3, 4, 4, 4, 4 |
| 35 | }; |
| 36 | |
| 37 | std::vector<float> input1 = |
| 38 | { |
| 39 | 2, 2, 2, 2, 3, 3, 3, 3, |
| 40 | 4, 4, 4, 4, 5, 5, 5, 5 |
| 41 | }; |
| 42 | |
| 43 | std::vector<float> output = |
| 44 | { |
| 45 | 2, 2, 2, 2, 6, 6, 6, 6, |
| 46 | 12, 12, 12, 12, 20, 20, 20, 20 |
| 47 | }; |
| 48 | |
| 49 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 50 | workloadFactory, |
| 51 | memoryManager, |
| 52 | shape, |
| 53 | input0, |
| 54 | shape, |
| 55 | input1, |
| 56 | shape, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 57 | output, |
| 58 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 59 | } |
| 60 | |
| 61 | LayerTestResult<float, 5> Multiplication5dTest(armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 62 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 63 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 64 | { |
| 65 | const unsigned int width = 3u; |
| 66 | const unsigned int height = 2u; |
| 67 | const unsigned int channelCount = 2u; |
| 68 | const unsigned int batchSize = 2u;; |
| 69 | const unsigned int depth = 2u; |
| 70 | |
| 71 | unsigned int shape[] = { depth, batchSize, channelCount, height, width }; |
| 72 | |
| 73 | std::vector<float> input0 = |
| 74 | { |
| 75 | 1.80f, 0.20f, 2.30f, 1.30f, 2.10f, 1.00f, |
| 76 | 2.60f, 0.60f, 2.10f, 2.30f, 2.30f, 2.00f, |
| 77 | |
| 78 | 2.50f, 1.00f, 2.90f, 3.10f, 1.50f, 2.40f, |
| 79 | 2.80f, 1.10f, 1.00f, 3.20f, 1.00f, 2.30f, |
| 80 | |
| 81 | |
| 82 | 0.30f, 2.20f, 1.00f, 0.20f, 1.60f, 1.40f, |
| 83 | 0.80f, 3.20f, 0.10f, 0.10f, 3.10f, 2.10f, |
| 84 | |
| 85 | 1.50f, 2.40f, 1.40f, 0.70f, 2.40f, 1.40f, |
| 86 | 1.60f, 1.20f, 1.90f, 0.80f, 0.00f, 0.10f, |
| 87 | }; |
| 88 | |
| 89 | std::vector<float> input1 = |
| 90 | { |
| 91 | 0.70f, 1.00f, 2.90f, 2.20f, 3.10f, 2.80f, |
| 92 | 1.80f, 2.00f, 0.50f, 2.30f, 1.20f, 2.70f, |
| 93 | |
| 94 | 2.40f, 0.20f, 3.20f, 1.60f, 0.20f, 2.50f, |
| 95 | 2.30f, 0.70f, 2.70f, 1.80f, 2.90f, 2.70f, |
| 96 | |
| 97 | |
| 98 | 3.20f, 3.20f, 0.70f, 1.90f, 2.70f, 2.50f, |
| 99 | 2.40f, 0.90f, 2.30f, 1.80f, 2.50f, 2.00f, |
| 100 | |
| 101 | 1.60f, 2.20f, 1.60f, 2.00f, 0.30f, 3.20f, |
| 102 | 0.40f, 3.00f, 2.60f, 0.30f, 0.00f, 2.50f, |
| 103 | }; |
| 104 | |
| 105 | std::vector<float> output = |
| 106 | { |
| 107 | 1.26f, 0.20f, 6.67f, 2.86f, 6.51f, 2.80f, |
| 108 | 4.68f, 1.20f, 1.05f, 5.29f, 2.76f, 5.40f, |
| 109 | |
| 110 | 6.00f, 0.20f, 9.28f, 4.96f, 0.30f, 6.00f, |
| 111 | 6.44f, 0.77f, 2.70f, 5.76f, 2.90f, 6.21f, |
| 112 | |
| 113 | |
| 114 | 0.96f, 7.04f, 0.70f, 0.38f, 4.32f, 3.50f, |
| 115 | 1.92f, 2.88f, 0.23f, 0.18f, 7.75f, 4.20f, |
| 116 | |
| 117 | 2.40f, 5.28f, 2.24f, 1.40f, 0.72f, 4.48f, |
| 118 | 0.64f, 3.60f, 4.94f, 0.24f, 0.00f, 0.25f, |
| 119 | }; |
| 120 | |
| 121 | return ElementwiseTestHelper<5, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 122 | workloadFactory, |
| 123 | memoryManager, |
| 124 | shape, |
| 125 | input0, |
| 126 | shape, |
| 127 | input1, |
| 128 | shape, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 129 | output, |
| 130 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 131 | } |
| 132 | |
| 133 | LayerTestResult<float, 4> MultiplicationBroadcast1ElementTest( |
| 134 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 135 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 136 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 137 | { |
| 138 | unsigned int shape0[] = { 1, 2, 2, 2 }; |
| 139 | unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 140 | |
| 141 | std::vector<float> input0 = { 1, 2, 3, 4, 5, 6, 7, 8}; |
| 142 | |
| 143 | std::vector<float> input1 = { 2 }; |
| 144 | |
| 145 | std::vector<float> output = { 2, 4, 6, 8, 10, 12, 14, 16}; |
| 146 | |
| 147 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 148 | workloadFactory, |
| 149 | memoryManager, |
| 150 | shape0, |
| 151 | input0, |
| 152 | shape1, |
| 153 | input1, |
| 154 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 155 | output, |
| 156 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 157 | } |
| 158 | |
| 159 | LayerTestResult<float, 4> MultiplicationBroadcast1DVectorTest( |
| 160 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 161 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 162 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 163 | { |
| 164 | unsigned int shape0[] = { 1, 3, 3, 2 }; |
| 165 | unsigned int shape1[] = { 1, 1, 1, 2 }; |
| 166 | |
| 167 | std::vector<float> input0 = |
| 168 | { |
| 169 | 1, 2, 3, 4, 5, 6, |
| 170 | 7, 8, 9, 10, 11, 12, |
| 171 | 13, 14, 15, 16, 17, 18 |
| 172 | }; |
| 173 | |
| 174 | std::vector<float> input1 = { 1, 2 }; |
| 175 | |
| 176 | std::vector<float> output = |
| 177 | { |
| 178 | 1, 4, 3, 8, 5, 12, |
| 179 | 7, 16, 9, 20, 11, 24, |
| 180 | 13, 28, 15, 32, 17, 36 |
| 181 | }; |
| 182 | |
| 183 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Float32>( |
| 184 | workloadFactory, |
| 185 | memoryManager, |
| 186 | shape0, |
| 187 | input0, |
| 188 | shape1, |
| 189 | input1, |
| 190 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 191 | output, |
| 192 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 193 | } |
| 194 | |
| 195 | LayerTestResult<uint8_t, 4> MultiplicationUint8Test( |
| 196 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 197 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 198 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 199 | { |
| 200 | constexpr unsigned int batchSize = 1u; |
| 201 | constexpr unsigned int channels = 2u; |
| 202 | constexpr unsigned int height = 2u; |
| 203 | constexpr unsigned int width = 3u; |
| 204 | |
| 205 | const unsigned int shape[] = { batchSize, channels, height, width }; |
| 206 | |
| 207 | // See dequantized values to the right |
| 208 | std::vector<uint8_t> input0 = |
| 209 | { |
| 210 | 62, 37, 3, 172, 13, 111, // 244, 144, 8, 684, 48, 440, |
| 211 | 188, 20, 73, 31, 23, 31 // 748, 76, 288, 120, 88, 120 |
| 212 | }; |
| 213 | |
| 214 | // See dequantized values to the right |
| 215 | std::vector<uint8_t> input1 = |
| 216 | { |
| 217 | 126, 240, 252, 183, 121, 247, // 384, 726, 762, 555, 369, 747, |
| 218 | 48, 115, 151, 79, 78, 97 // 150, 351, 459, 243, 240, 297 |
| 219 | }; |
| 220 | |
| 221 | // See dequantized values to the right |
| 222 | std::vector<uint8_t> output = |
| 223 | { |
| 224 | 64, 72, 0, 255, 8, 236, // 93696, 104544, 6096(clamped), 379620(clamped), 17712, 328680, |
| 225 | 77, 15, 92, 16, 10, 21, // 112200, 26676, 132192, 29160, 21120, 35640 |
| 226 | }; |
| 227 | |
| 228 | // Scale/offset chosen to have output values out of range |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 229 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 230 | workloadFactory, |
| 231 | memoryManager, |
| 232 | shape, |
| 233 | input0, |
| 234 | 4.0f, |
| 235 | 1, |
| 236 | shape, |
| 237 | input1, |
| 238 | 3.0f, |
| 239 | -2, |
| 240 | shape, |
| 241 | output, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 242 | tensorHandleFactory, |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 243 | 1366.255f, |
| 244 | -5); |
| 245 | } |
| 246 | |
| 247 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1ElementUint8Test( |
| 248 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 249 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 250 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 251 | { |
| 252 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 253 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 254 | |
| 255 | std::vector<uint8_t> input0 = |
| 256 | { |
| 257 | 1, 2, 3, 4, 5, 6, |
| 258 | 7, 8, 9, 10, 11, 12 |
| 259 | }; |
| 260 | |
| 261 | std::vector<uint8_t> input1 = { 2 }; |
| 262 | |
| 263 | std::vector<uint8_t> output = |
| 264 | { |
| 265 | 2, 4, 6, 8, 10, 12, |
| 266 | 14, 16, 18, 20, 22, 24 |
| 267 | }; |
| 268 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 269 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 270 | workloadFactory, |
| 271 | memoryManager, |
| 272 | shape0, |
| 273 | input0, |
| 274 | shape1, |
| 275 | input1, |
| 276 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 277 | output, |
| 278 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 279 | } |
| 280 | |
| 281 | LayerTestResult<uint8_t, 4> MultiplicationBroadcast1DVectorUint8Test( |
| 282 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 283 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 284 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 285 | { |
| 286 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 287 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 288 | |
| 289 | std::vector<uint8_t> input0 = |
| 290 | { |
| 291 | 1, 2, 3, 4, 5, 6, |
| 292 | 7, 8, 9, 10, 11, 12 |
| 293 | }; |
| 294 | |
| 295 | std::vector<uint8_t> input1 = { 1, 2, 3 }; |
| 296 | |
| 297 | std::vector<uint8_t> output = |
| 298 | { |
| 299 | 1, 4, 9, 4, 10, 18, |
| 300 | 7, 16, 27, 10, 22, 36 |
| 301 | }; |
| 302 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 303 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 304 | workloadFactory, |
| 305 | memoryManager, |
| 306 | shape0, |
| 307 | input0, |
| 308 | shape1, |
| 309 | input1, |
| 310 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 311 | output, |
| 312 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 313 | } |
| 314 | |
| 315 | LayerTestResult<int16_t, 4> MultiplicationInt16Test( |
| 316 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 317 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 318 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 319 | { |
| 320 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 321 | |
| 322 | std::vector<int16_t> input0 = |
| 323 | { |
| 324 | 6, 7, 8, 9, 10, 11, |
| 325 | 12, 13, 14, 15, 16, 17 |
| 326 | }; |
| 327 | |
| 328 | std::vector<int16_t> input1 = |
| 329 | { |
| 330 | 1, 2, 3, 4, 5, 6, |
| 331 | 7, 8, 9, 10, 11, 12 |
| 332 | }; |
| 333 | |
| 334 | std::vector<int16_t> output = |
| 335 | { |
| 336 | 6, 14, 24, 36, 50, 66, |
| 337 | 84, 104, 126, 150, 176, 204 |
| 338 | }; |
| 339 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 340 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 341 | workloadFactory, |
| 342 | memoryManager, |
| 343 | shape, |
| 344 | input0, |
| 345 | shape, |
| 346 | input1, |
| 347 | shape, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 348 | output, |
| 349 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 350 | } |
| 351 | |
| 352 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1ElementInt16Test( |
| 353 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 354 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 355 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 356 | { |
| 357 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 358 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 359 | |
| 360 | std::vector<int16_t> input0 = |
| 361 | { |
| 362 | 1, 2, 3, 4, 5, 6, |
| 363 | 7, 8, 9, 10, 11, 12 |
| 364 | }; |
| 365 | |
| 366 | std::vector<int16_t> input1 = { 2 }; |
| 367 | |
| 368 | std::vector<int16_t> output = |
| 369 | { |
| 370 | 2, 4, 6, 8, 10, 12, |
| 371 | 14, 16, 18, 20, 22, 24 |
| 372 | }; |
| 373 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 374 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 375 | workloadFactory, |
| 376 | memoryManager, |
| 377 | shape0, |
| 378 | input0, |
| 379 | shape1, |
| 380 | input1, |
| 381 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 382 | output, |
| 383 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 384 | } |
| 385 | |
| 386 | LayerTestResult<int16_t, 4> MultiplicationBroadcast1DVectorInt16Test( |
| 387 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 388 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 389 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 390 | { |
| 391 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 392 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 393 | |
| 394 | std::vector<int16_t> input0 = |
| 395 | { |
| 396 | 1, 2, 3, 4, 5, 6, |
| 397 | 7, 8, 9, 10, 11, 12 |
| 398 | }; |
| 399 | |
| 400 | std::vector<int16_t> input1 = { 1, 2, 3 }; |
| 401 | |
| 402 | std::vector<int16_t> output = |
| 403 | { |
| 404 | 1, 4, 9, 4, 10, 18, |
| 405 | 7, 16, 27, 10, 22, 36 |
| 406 | }; |
| 407 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 408 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 409 | workloadFactory, |
| 410 | memoryManager, |
| 411 | shape0, |
| 412 | input0, |
| 413 | shape1, |
| 414 | input1, |
| 415 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 416 | output, |
| 417 | tensorHandleFactory); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 418 | } |
| 419 | |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 420 | LayerTestResult<int32_t, 4> MultiplicationInt32Test( |
| 421 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 422 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 423 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 424 | { |
| 425 | const unsigned int shape[] = { 1, 2, 2, 3 }; |
| 426 | |
| 427 | std::vector<int32_t> input0 = |
| 428 | { |
| 429 | 6, 7, 8, 9, 10, 11, |
| 430 | 12, 13, 14, 15, 16, 17 |
| 431 | }; |
| 432 | |
| 433 | std::vector<int32_t> input1 = |
| 434 | { |
| 435 | 1, 2, 3, 4, 5, 6, |
| 436 | 7, 8, 9, 10, 11, 12 |
| 437 | }; |
| 438 | |
| 439 | std::vector<int32_t> output = |
| 440 | { |
| 441 | 6, 14, 24, 36, 50, 66, |
| 442 | 84, 104, 126, 150, 176, 204 |
| 443 | }; |
| 444 | |
| 445 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>( |
| 446 | workloadFactory, |
| 447 | memoryManager, |
| 448 | shape, |
| 449 | input0, |
| 450 | shape, |
| 451 | input1, |
| 452 | shape, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 453 | output, |
| 454 | tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 455 | } |
| 456 | |
| 457 | LayerTestResult<int32_t, 4> MultiplicationBroadcast1ElementInt32Test( |
| 458 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 460 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 461 | { |
| 462 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 463 | const unsigned int shape1[] = { 1, 1, 1, 1 }; |
| 464 | |
| 465 | std::vector<int32_t> input0 = |
| 466 | { |
| 467 | 1, 2, 3, 4, 5, 6, |
| 468 | 7, 8, 9, 10, 11, 12 |
| 469 | }; |
| 470 | |
| 471 | std::vector<int32_t> input1 = { 2 }; |
| 472 | |
| 473 | std::vector<int32_t> output = |
| 474 | { |
| 475 | 2, 4, 6, 8, 10, 12, |
| 476 | 14, 16, 18, 20, 22, 24 |
| 477 | }; |
| 478 | |
| 479 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>( |
| 480 | workloadFactory, |
| 481 | memoryManager, |
| 482 | shape0, |
| 483 | input0, |
| 484 | shape1, |
| 485 | input1, |
| 486 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 487 | output, |
| 488 | tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 489 | } |
| 490 | |
| 491 | LayerTestResult<int32_t, 4> MultiplicationBroadcast1DVectorInt32Test( |
| 492 | armnn::IWorkloadFactory& workloadFactory, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 493 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 494 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 495 | { |
| 496 | const unsigned int shape0[] = { 1, 2, 2, 3 }; |
| 497 | const unsigned int shape1[] = { 1, 1, 1, 3 }; |
| 498 | |
| 499 | std::vector<int32_t> input0 = |
| 500 | { |
| 501 | 1, 2, 3, 4, 5, 6, |
| 502 | 7, 8, 9, 10, 11, 12 |
| 503 | }; |
| 504 | |
| 505 | std::vector<int32_t> input1 = { 1, 2, 3 }; |
| 506 | |
| 507 | std::vector<int32_t> output = |
| 508 | { |
| 509 | 1, 4, 9, 4, 10, 18, |
| 510 | 7, 16, 27, 10, 22, 36 |
| 511 | }; |
| 512 | |
| 513 | return ElementwiseTestHelper<4, armnn::MultiplicationQueueDescriptor, armnn::DataType::Signed32>( |
| 514 | workloadFactory, |
| 515 | memoryManager, |
| 516 | shape0, |
| 517 | input0, |
| 518 | shape1, |
| 519 | input1, |
| 520 | shape0, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 521 | output, |
| 522 | tensorHandleFactory); |
Teresa Charlin | ecb6b8e | 2020-05-22 18:08:23 +0100 | [diff] [blame] | 523 | } |
| 524 | |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 525 | LayerTestResult<float,4> CompareMultiplicationTest( |
| 526 | armnn::IWorkloadFactory& workloadFactory, |
| 527 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 528 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 529 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
| 530 | const armnn::ITensorHandleFactory& refTensorHandleFactory) |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 531 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 532 | IgnoreUnused(memoryManager); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 533 | const unsigned int width = 16; |
| 534 | const unsigned int height = 32; |
| 535 | const unsigned int channelCount = 2; |
| 536 | const unsigned int batchSize = 5; |
| 537 | |
| 538 | armnn::TensorInfo inputTensorInfo0; |
| 539 | armnn::TensorInfo inputTensorInfo1; |
| 540 | armnn::TensorInfo outputTensorInfo; |
| 541 | |
| 542 | constexpr unsigned int shape[] = { batchSize, channelCount, height, width }; |
| 543 | |
| 544 | inputTensorInfo0 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 545 | inputTensorInfo1 = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 546 | outputTensorInfo = armnn::TensorInfo(4, shape, armnn::DataType::Float32); |
| 547 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 548 | auto input0 = MakeRandomTensor<float>(inputTensorInfo0, 803506992); |
| 549 | auto input1 = MakeRandomTensor<float>(inputTensorInfo1, 54902257); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 550 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 551 | std::vector<float> actualOutput(outputTensorInfo.GetNumElements()); |
| 552 | std::vector<float> expectedOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 553 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 554 | std::unique_ptr<armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo0); |
| 555 | std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 556 | std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 557 | |
Keith Davis | 33a626f | 2020-08-27 15:38:12 +0100 | [diff] [blame] | 558 | std::unique_ptr<armnn::ITensorHandle> inputHandle0Ref = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo0); |
| 559 | std::unique_ptr<armnn::ITensorHandle> inputHandle1Ref = refTensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 560 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refTensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 561 | |
| 562 | armnn::MultiplicationQueueDescriptor data; |
| 563 | armnn::WorkloadInfo info; |
| 564 | AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get()); |
| 565 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 566 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 567 | |
| 568 | armnn::MultiplicationQueueDescriptor refData = data; |
| 569 | armnn::WorkloadInfo refInfo = info; |
| 570 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo0, inputHandle0Ref.get()); |
| 571 | SetWorkloadInput(refData, refInfo, 1, inputTensorInfo1, inputHandle1Ref.get()); |
| 572 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 573 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 574 | std::unique_ptr<armnn::IWorkload> workload |
| 575 | = workloadFactory.CreateWorkload(armnn::LayerType::Multiplication, data, info); |
| 576 | std::unique_ptr<armnn::IWorkload> workloadRef |
| 577 | = refWorkloadFactory.CreateWorkload(armnn::LayerType::Multiplication, refData, refInfo); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 578 | |
| 579 | inputHandle0->Allocate(); |
| 580 | inputHandle1->Allocate(); |
| 581 | outputHandle->Allocate(); |
| 582 | inputHandle0Ref->Allocate(); |
| 583 | inputHandle1Ref->Allocate(); |
| 584 | outputHandleRef->Allocate(); |
| 585 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 586 | CopyDataToITensorHandle(inputHandle0.get(), input0.data()); |
| 587 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 588 | CopyDataToITensorHandle(inputHandle0Ref.get(), input0.data()); |
| 589 | CopyDataToITensorHandle(inputHandle1Ref.get(), input1.data()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 590 | |
| 591 | workload->PostAllocationConfigure(); |
| 592 | workload->Execute(); |
| 593 | workloadRef->PostAllocationConfigure(); |
| 594 | workloadRef->Execute(); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 595 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| 596 | CopyDataFromITensorHandle(expectedOutput.data(), outputHandleRef.get()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 597 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 598 | return LayerTestResult<float, 4>(actualOutput, |
| 599 | expectedOutput, |
| 600 | outputHandle->GetShape(), |
| 601 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | e89ebad | 2019-08-27 18:14:26 +0100 | [diff] [blame] | 602 | } |